3 Ways You Can Use Sales Automation to Convert More Leads into Meetings

this is an essay on 3 Ways You Can Use Sales Automation to Convert More Leads into Meetings.

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Salespeople are at their most valuable when interacting with customers one-on-one. They are highly trained, highly paid professionals who want to convert as many leads into sales as possible. In fact, 80% of sales people think the phone (where they can sell one on one) is the best channel for closing a deal.

The problem is that setting up a meeting with a lead requires a lot of tedious and repetitive work which humans don’t do well. Automation helps a lot but doesn’t replace the sales person. Instead, it takes care of the necessary tasks that don’t require a human touch, freeing up your salespeople to have as much one on one selling time as possible.

Adopting automation doesn’t even mean upending your sales process. Here are three simple ways of harnessing automation which will unlock your sales reps’ ability to make conversions.

1. Stick to Email For as Many Interactions as Possible

One on one interactions are essential for closing but it is difficult to scale them. Where somebody talking on the phone might be able to make 8 calls an hour, you can prepare and send 200 personalized email campaigns in half that time.

Because email doesn’t require a person to communicate in real time, it allows human input to be focused on creating personalized content. Repetitive content and delivery scheduling can be handed over to your sales automation software.

Let me give you an example. Most of the words in an email can be repeated. This means that you can create a template with spaces left for the sections you want to personalize. If you use an email outreach automator like Growbots, Yesware, or Outreach, all your sales rep has to do is create personalized information to feed into the template, saving them from having to write a completely new message every time.

That really comes in handy when you consider that with cold outreach only half of the responses you get come after your first email. We did a study of over 600,000 cold email campaigns sent on our platform to find out what percentage of positive responses come after each email in your outreach sequence. What we found was to get 97% of your potential responses, you need to send at least four emails.

Graph showing the percentage of positive responses that come after each email in your sequence.

It takes only a few minutes to set up a sequence of messages to be scheduled automatically to hundreds of email addresses. Not only that but most decision makers check their own email. Over the phone, that many touch points would take over three days. Even then your sales reps are more often than not likely to reach their lead’s secretaries or some other gatekeeper that they will need to work past.

It is easy to test and optimize different aspects of your delivery and messaging. Your templates can be easily A/B tested to see which subject line, format, and sequence works best. Even optimizing the time of delivery can have a big effect on the response rate. Different targets have different habits when it comes to positively responding to your emails. Take the example of this prospect:

You can double your conversion rate. (Image Source)

Automation means you can schedule your emails to be delivered at the right time, pretty much doubling your conversion rate over less desirable times.

2. Collect and Reuse Content That Works

You will find that certain responses to questions and objections work better than others. These can be loaded into an email accelerator like Cirrus Insight or Mixmax. They sit in your inbox and provide you with a previously prepared response you can send out immediately. You can also share these responses with new members of the team so that they don’t need extensive onboarding before they can begin fielding queries from leads.

When a lead needs more convincing or stops responding, they are not lost. An email automator like followup.cc, rebump, or vocus, lets you set up a sequence of automated messages that you can customize to address the specific pain points the lead has. Your sales rep can use a combination of responses that have previously been effective and then set them to deliver automatically. This way they can keep in contact with this lead without having to take the time to continually check in with them.

3. Don’t Leave Meeting Scheduling to Chance

After your sales rep has done all of the work to get a one on one meeting, they don’t want to lose the lead in the time between agreeing to meet and holding the meeting. Despite the fact that your sales rep’s lead has signaled that they want to meet, they can still lose them if your sales rep isn’t careful.

The ensuing back and forth that comes from agreeing to a time to meet loses a surprising number of leads. An automated meeting scheduler allows your lead to pick a time when both of you are available. There is no back and forth and no chance for the meeting to be broken.

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The Metrics Every E-Commerce Store Should be Tracking to Drive Growth

this is a blog post on The Metrics Every E-Commerce Store Should be Tracking to Drive Growth.

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The most successful online stores winning at e-commerce are doing so because they’ve become absolutely obsessed with metrics. They swim in data.

Every marketing and promotional decision is driving by the data. Because without data you have virtually no chance at making improvements. You don’t know what’s working, what’s failing, or even what success looks like.

Driving growth in your e-commerce business requires a few key components:

  • Setting measurable goals (key performance indicators)
  • Identifying the metrics necessary to track those KPIs
  • Monitoring performance and making adjustments as necessary

While there are numerous metrics that can be tracked, I’ve listed the ones most commonly tied to the growth of your store.

Segmented Conversion Rate

Your conversion rate is a pretty cut and dry metric. It’s the percentage of the visitors on your website who decide to make a purchase.

It’s calculated by taking the total number of website visitors who make a single purchase and dividing that number by the total number of people who visit your site.

For example; 14 customers made a purchase among 150 visitors, so the conversion rate (14 divided by 150) is 9.3%.

Your conversion rate is a good overall indicator of success, but don’t stop there.

If you break it down and segment your conversion rate you can get a lot more granular with the data, giving you tremendous insight into individual campaigns you’re using to grow your business.

A few ways to segment your conversion rates include:

1. Conversion by traffic source

Reviewing how customers convert based on the traffic source (Google, Bing, Facebook, Reddit, etc.) can tell you where you should be investing in driving traffic, or what channels to focus on improving the targeting or message you’re using for campaigns.

2. Conversion by device type

Mobile devices accounted for 19% of US retail e-commerce in 2014, and that’s expected to climb to 27% by the end of 2018.

The traffic coming from mobile is much higher. According to Yotpo, mobile accounts for more than half of all e-commerce traffic.

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If there’s a growing or uncommon gap in desktop and mobile conversion where one is outperforming another, review the user experience and see where improvements can be made.

3. Conversion of new vs. returning visitors

Keep in mind that conversions for returning visitors are traditionally higher because those customers already know you, trust your brand, and are more willing to make a purchase.

For example; if your returning visitors are converting at ~7% but your new customers are converting at ~2% then the average is going to fall somewhere around 5%. If you use that average to calculate your max budget for acquisition campaigns that actually convert at ~2% you’re going to lose money.

Segmenting these conversions can help you more accurately calculate what you should be spending on your acquisition campaigns and how well they’re performing.

Segmented Revenue

You should segment your revenue the same way you segment conversions. This loops back very well to tracking your conversions by traffic but you can get just as granular with segmenting your revenue.

Like conversions, you can weed out sites that are just giving you a spike of eyeballs but aren’t really contributing anything to your bottom line.

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There’s a pretty clear difference in revenue by the sources in the example above. Note the one referral with just 3 visits generating far more revenue per visitor.
This is a great way to see how different traffic sources contribute to your bottom line such as:

  • Organic search
  • Email campaigns
  • Referral traffic from blogs or social

Like the example above, segmenting your revenue gives you a look into how customer spend changes depending on the traffic source.

For example, you might get far more conversions from Facebook referrals, but those people only buy a single product. Compare that to traffic from email campaigns where the conversions are a bit lower but the average order value is twice the size.

Use that data to replicate what you’re doing right with certain channels and where to invest more time and resources.

GrowthScout has a step-by-step guide to setup your Google Analytics for tracking revenue by traffic.

Conversion by Product

If you only have a handful of products in your online store this is likely less important. For e-commerce stores with a huge SKU inventory though, this is a necessary metric to pay attention to.

Google Analytics Enhanced E-commerce has this data readily available in the “product performance” section.

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It’s a great metric for tracking the performance of individual products when you compare individual product conversions against product page traffic and those who added the product to a cart or wish list but abandoned the purchase.

Not only can this help you spot the popular or trending products, you can also find the under-performers.

Looking at the conversions by product can make it easy to look into individual barriers that could be impacting conversions (price, descriptions, product images, better benefit statements, etc.) and make strategic adjustments.

Funnel Abandonment

Cart abandonment is fairly common metric that’s tracked by online stores. E-commerce platforms are even designed to help you keep up on cart abandonment with built in autoresponders to help win back abandoned carts.

Pixels are even in place for many brands to setup ad retargeting for customers that bail on the checkout process. But are you looking at the rest of your funnel to see where customers are dropping out during the shopping experience?

This can be done manually by checking the visitor flow on your site, or you can setup a conversion funnel in Google Analytics to see where potential customers are bailing on you.

The Funnel Report is one of the most popular features in the Kissmetrics platform. Identifying where customers drop off and segmenting your traffic to find the most valuable marketing channels are game changers for e-commerce stores.

Here’s a great example of a conversion funnel setup in Google:

Like the example above, tracking funnel abandonment can show you key points early in the buyer’s journey where customers are exiting your site – whether it’s at category pages, the product page, etc.

Percentage of Returning Customers

Returning visitors is a great metric to track for measuring customer loyalty, but it helps to know how those returning visits translate to revenue. That’s why you should track your percentage of returning customers – the people who come specifically to spend money.

A lot of e-commerce platforms provide customer reports with details on the number of returning customers.

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Shopify provides detailed reports for first time vs. returning customers.

If you don’t have a way to access a report like this, you can export your total orders and scrub the data for duplicate emails/customer data to get a sense for repeat orders.
Percentage of returning customers is important to watch. It tells you where you stand with your customers on a number of key things:

  • Customer service
  • Price
  • Trust
  • Customer sentiment

Returning customers are highly profitable because you don’t have to pay those acquisition costs to get them back. If you see a decline in return customer rates then you need to look at overall customer delight and try to find what’s keeping customers from coming back.

It’s not just about return revenue though. The best marketers for your business are your happy, fully satisfied customers. Those are the customers who will talk you up and take the time to leave you reviews. Data shared by Kissmetrics shows that 55% of customers say that reading reviews online influences their decision to make a purchase.

All the more reason to track your return customers so you can identify the ones who aren’t coming back, and ramp up your re-engagement strategy.

Average Order Value

Your average order value (AOV) is the sum of the value of all of your orders (the total revenue for a period) divided by the total number of orders for that period.

For example, if you were tracking the sales for the month of August and found a total revenue of $25,000 with 760 orders. The revenue ($25k) divided by the total orders (760) equals a monthly AOV of $32.89 ($33).

Knowing your AOV is necessary to understand the lifetime value of your customer and helps you better align strategies for growth.

According to ConversionXL, there’s only three ways to grow an e-commerce business:

  • Add more customers
  • Get customers to make more repeat purchases
  • Increase the average order value

Increasing your AOV is the one that costs virtually nothing, so focus on that.

Optimizely offers some tried and true strategies for boosting AOV, such as:

  • Cross-selling (offer a product that is relevant to the product customers are interested in)
  • Upselling (offer an upgraded option, or premium product, for just a little more)
  • Volume discounts (offer a discount if a customer buys multiples of the same product)
  • Free shipping (offer free shipping when the customer hits a minimum dollar threshold)
  • Coupons (offer discounts/offers on the next purchase if they hit a minimum dollar threshold)

Lifetime Value of the Customer

Customer lifetime value (LTV) is arguably one of the most important metrics to track in e-commerce. This is the overall revenue you forecast a customer to bring you during their lifetime, or span of time as your customer.

In an earlier example calculating average order value I said the AOV was $33. If the average customer purchased 14 times at that AOV then the customer’s LTV would be $462.

This can be difficult to track for businesses with more sporadic returning customers because you have to know the lifetime of the customer, at what point they leave, the frequency and other variables.

Depending on your platform you may have built in reports to show you your top customers as well as the lifetime value of those customers (and overall customer LTV).

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BigCommerce offers similar reporting tools to help calculate and forecast and better understand LTV.

It’s worth forecasting with the data you have because this can help you better understand your cost per acquisition and how much you can afford to spend on both acquisition campaigns and retention/engagement marketing.

Aside from better calculating what you can spend on acquisition, returning customers just spend more overall.

Businesses with 40% repeat customers generated nearly 50% more revenue than similar businesses with only 10% repeat customers.

Improving customer LTV has a lot to do with loyalty and retention, so look closely at what you can do to keep your customers coming back.

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Why Unscalable Marketing Activities are Best for B2B Companies

this is a note on Why Unscalable Marketing Activities are Best for B2B Companies.

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Most blog posts talk about going viral.

They talk about network effects and refer-a-friend tactics.

They talk about switching your orange button to a green one.

They talk about sending out automated, cold emails.

Well, guess what?

None of that works in B2B. Not at a high level. Not when you’re selling to smart, educated people. Not when there are tens of thousands (or hundreds of thousands) at stake.

All of those easy, ‘scalable’ tactics that blogs love to rave about fall flat.

The best way to close high-dollar B2B accounts is to do the opposite. You need one-to-one communication ASAP.

The problem is that the best methods are largely unscalable. At least on the surface. So they appear to require tons of your time and energy. Of which, you’re already running dangerously short.

Here’s why seemingly ‘unscalable’ activities work best. And what you can do to lessen the pain.

Why 1-to-1, unscalable B2B activities convert best

Sales is positioning.

B2B sales, especially.

It all comes back to the bottom line.

Are you an expert or a hack? A partner or a vendor?

Your ability (and almost as important, the perception of your ability) is on the line. It’s what separates cost-plus vs. value pricing. Thin margins from fat ones.

Experts and consultants? They don’t email customers garbage. Customers go to them.

That’s why your approach matters. A lot.

All those fancy growth hacks? They might work on the mass market paying $0.00 for your shiny photo sharing app.

But not as much when tens of thousands (or hundreds of thousands) are on the line. Not when MBA-toting, C-suite execs with decades of experience can sniff out your bullshit from a mile away.

B2B doesn’t buy on impulse. A rush of blood to the head won’t cut it.

Instead, they’re conducting at least a dozen searches before ever visiting a brand’s website. Most of the purchasing process actually takes place before they consider you personally.

They’re informed. And there are usually many of them required before signing on the dotted line.

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All of this means the average sale is going to take longer. It’s going to be complex. It’s going to require many conversations over many weeks with many different people.

You can scale some of it. You can automate parts of it. But when it matters most, when the chips fall, unscalable activities win.

Take a look at these example conversion benchmarks for the software industry from Capterra:

conversion rates for software companies capterra

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Average website conversions hover around 7%. If you’re lucky.

After that, the qualified conversion rates jump to 36% and 27%. Why?

Why is the top of the funnel conversion rate so low, while the bottom of the funnel one is so high?

One answer is that people become more qualified as you go. And the other is that you’re handling the qualification or sales personally.

Lead scoring might help. A tiny bit. But otherwise, you’re sending emails, making phone calls… selling.

All of which is manual, time-intensive, and unscalable.

That’s the theory, anyway. Now, let’s evaluate it in practice.

What’s the average click-through rate for online ads?

Around 0.5% for display ads and about 3% for search ads according to WordStream.

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Those numbers are… not good.

Doesn’t matter how you frame it. We accept it and continue to spend money on it because it’s scalable. It allows us to go and do other things. We put up with mediocre response rates in the hopes that it’s all justified in the end.

Now let’s compare it to alternatives, so you have some context.

Funnelholic used to see the same average 2-3% results, too. Until they made a few changes.

And then? Open rates shot up to 60%. Reply rates leaped to 31%. And they netted 15 new meetings.

What was the difference?

They took unscalable steps first. They thoroughly researched each prospect and personalized each outreach attempt.

Different channel or medium. Same story.

One company used direct mail to get a foot in the door with $30 million+ companies, receiving a 25% response rate. Another study shows that first-time buyers are 60% more likely to visit a website URL after seeing it on a piece of direct mail.

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Let’s do another one.

Spoke with another founder recently. He literally walked into 13 multimillion-dollar companies cold one day. Now, has two proposals out. That’s ~15% response rate.

Again: Compare that with ~0.5% and ~3% for online ads. And that’s for just a measly click! The vast majority of which won’t go on to become a lead, qualified opportunity, or sales prospect.

So really, you’re looking at fractions of a percent.

The problem with these high-performing tactics?

None of them are scalable. At least, not on the surface.

Researching individual people within accounts isn’t. Hand-writing letters isn’t. Creating and sending personalized packages isn’t. And walking into offices definitely isn’t.

The trick is to make the unscalable scalable. Doesn’t make sense, I know. But it hopefully will in a few minutes.

You should be able to find a way to scale multiple “unscalable” activities with people, processes, and tools. Here’s how.

Start at ground zero with your target accounts

The lazy answer to this quandary is “account-based marketing.” Which is really just a euphemism for “not terrible marketing.”

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Instead of only qualifying and disqualifying toward the end, you do it upfront. You invest more time and energy whittling out the junk so that you can focus more attention and resources on fewer, better potential customers.

Don’t take my word for it.

This is the essence of Predictable Revenue. The same one that added $100 million to the top line of Salesforce. The same one that the fastest-growing SaaS sales teams use today.

It’s a mix of inbound + outbound. You use the best of both to expedite the process.

Inbound is great. But it takes for.ev.er. And results don’t always pan out like they should. Not like you were told. Not in the beginning. Not in competitive industries filled with low-volume, long-tail queries.

Example: “Content marketing.”

Ninety-freaking-two difficulty score. While the volume range puts it around mid-tail, best case scenario.

Now, try ranking on that term with a 500-word blog post. Try ranking for that term with “Best Content Marketing Tools” or some other inane post.

That might work in the local pool biz. Ain’t gonna cut it here.

That’s why it takes more. It requires more. The only way you’re going to sell five or six-figure deals is to pitch the hell out of a dedicated account.

The trick is to do the hard work upfront. Define your ideal Customer profile, and everything else becomes easy.

But we can’t do that for you. Unfortunately, you’re on your own.

LinkedIn does, however, give you a few ways to pre-qualify prospects at scale.

The first step is their LinkedIn Sales Navigator. You can select firmographic criteria like job titles, company size, geography, and more to have them compile a prospecting list for you.

Then, you can save companies as new accounts to get access to all of the individuals inside.

Next, cue: stalking.

LinkedIn’s Sales Navigator will provide a never-ending stream of updates when filled with accounts. Every time your key people do something on the site, you’ll see it.

And you’ll be social selling in no time. The same strategy IBM has used to increase sales 400%.

This is the hard part, though. You need to get on their radar. Not by sending spammy InMail messages. But by reaching out and discussing. You build that whole relationship-thing.

You can also combine some inbound with your outbound here.

For example, you can run content promotion to these target accounts to passively build brand awareness.

Then, you can use LinkedIn’s new Matched Audiences feature. This is more or less their version of Facebook’s custom audiences.

You can target contacts that have been to your site before. Or you can upload a list of contacts that have opted in somewhere along the way.

This is where you add scale. You shouldn’t necessarily automate meetings with prospects. You really can’t, in fact.

But you can start to automate some peripheral activities, like these retargeting ads that run in the background.

And you can also start to streamline “unscalable,” individual prospecting techniques. Here’s how.

Now, make the unscalable, scalable

There’s one thing standing between you and more paying customers.

It’s not time. It’s not money. It’s not a tool.

And it’s not even a hack. It’s a process.

That’s it. Sexy, right?

A little over a year ago, my company sent these out in the mail (among other things).

direct mail advertisement missing piece

Not the best. But not bad.

We sent each one with a handwritten note. Then we stuffed both inside an envelope and mailed it to an individual within an account company’s headquarters.

Now, you’re probably thinking that this sounds time-consuming. And that’s because it was. Very.

Initially, we did all the work. Even bought the envelopes at a Staples (remember those?) and brought them to an honest-to-goodness post office.

The initial results were promising. Solid responses started to roll in.

So here’s where things get fun. You create a process around this to hand off to someone else.

Fortunately, there’s this magical secret to dealing with menial, recurring tasks like this. They’re like little magical elves who just come sweep up after you so that issues go away.

They’re called: interns.

The trick is that you have to tell them exactly what you’re looking for. Most don’t. They just expect them to know. And results suck. “Interns are lazy” etc. etc.

Each step is its own little process. There should be details on how to stalk find key accounts on LinkedIn, how to build a prospecting list, and so on.

Pretty soon, you’ll have hundreds of names. For pennies on the dollar.

Re-visit those stats above. A 10%+ response rate with hundreds of names, with each potential client worth well over $10,000 over the next year?

I’ll take that over ‘going viral’ any day.

Change your perception on what can or can’t be scaled

People like their habits. They like their business-as-usual.

Take forms. Do we need them?

Maybe. Maybe not.

Here’s how it typically works. A person visits your site and opts in. Awesome! Except, they’re not super clear on what comes next.

Internally, that notification goes… somewhere? You get around to vetting the lead, eventually. And then reach out hours, days, or weeks later.

By then, the prospect has already moved on. It’s too late.

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Your chances of qualifying each new prospect fall by 400% past the five-minute mark.

So how can you scale the unscalable?

Live chat is one solution. It satisfies 92% of peeps. Companies like Influx have used it to bring in 27% of inbound leads and grow companies by 20% each month.

But not the way you’re thinking. You can’t afford to hire someone to sit there all day.

Thankfully, you can now use chatbots to do everything from qualifying new prospects to scheduling sales calls with hot prospects. And then helping you close more deals.

You can pre-program the sequence. And your chatbot will do all of the heavy-lifting for you.

TrainedUp, a video training service for church leaders, recently implemented this approach.

Think about your average form-based conversions for a minute. You’re lucky if 7-9% of visitors are opting in for your services.

TrainedUp is seeing 25% of visitors interacting with their chatbot. Then 15% of those go through with scheduling a demo. And 40% of those chatbot-driven demos are converting to paying customers.

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A lot of TrainedUp’s success is coming from using Drift’s Playbooks. This feature poses three simple questions to completely onboard new leads for you.

Directive Consulting does something similar. For example, the chatbot can qualify (or disqualify) prospects for you without a single person manning the station.

For example, you only want to work with decision makers. So ideally, you’re looking for “CEOs” and “VP/Directors” who can sign on the dotted line. Then, you can customize a different response for “Managers” to make sure nobody’s wasting each other’s time.

Let’s select “VP/Director” to keep the conversation going.

Next up, you can get some basic budget information. Once again, this helps better qualify and segment new leads. If someone’s budget is “Less than 5k,” for example, the chatbot politely informs them about project minimums.

It can even help you route leads to different reps or divisions. The services you deliver to a client in the $5-10k range might be vastly different from those in the $50k+. So this allows you to figure out who each visitor should be speaking with internally.

Because the next step is to solve the main problem we had earlier: planning the next step.

You now have all of this valuable data. You know if they’re a good fit or not. You know exactly which department, division, or rep to refer them to.

So why make them wait for a “follow-up” that’s not likely to happen anytime soon?

Instead, you can then immediately have them schedule a new sales call.

Drift has a built-in calendar feature that integrates with most calendars. So, the chatbot can even schedule conversations in real-time.

Otherwise, you can respond with a Calendly link (even customizing different links and availabilities for different types of leads).

So if someone successfully makes it through the first three questions, they receive a link to schedule a conversation immediately:

Replacing a traditional “Thank You” page with a Calendly link so that visitors could schedule appointments on their own helped Virtru increase conversions from around 30% to over 61% in a single month.

virtru schedule demo ab test

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Conclusion

‘Viral’ marketing might work for B2C. Network effects might help you get more users into a free photo sharing app.

But none of that realistically works for B2B.

The problem is that you often shoot yourself in the foot when you focus exclusively on scalable marketing activities. Those things only work at the bottom of the food chain.

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Safari’s New “Intelligent Tracking Prevention” — What Does it Mean for Marketers?

Here is an essay on Safari’s New “Intelligent Tracking Prevention” — What Does it Mean for Marketers?.

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Along with the release of the iPhone 8, Apple’s new operating system, iOS 11 and its browser, Safari 11 on desktop, are causing quite a stir among advertisers and marketers. Not for their new design or ease of use but for their release of “Intelligent Tracking Prevention” — a feature which would limit website owners’ ability to track users across domains. But what does that mean exactly, and how can marketers best prepare for it? Let’s take a closer look:

What Does Intelligent Tracking Prevention (ITP) Actually Do?

In a nutshell, ITP limits the ability for advertisers and site owners to track users across domains. Any websites that load things like scripts or image across domains are classified according to a machine-learning algorithm, and cookies that those sites deposit are essentially sectioned off — preventing them from tracking the user 24 hours after they first interacted with the site. Why 24 hours? The cookie is stored in the system in case the user wants to user their login information from one domain on a separate service — for example, logging into a service using your Facebook or Google credentials.

intelligent tracking prevention cookie timeline

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Once the cookie is partitioned away, it sits there until 30 days have passed. If the user hasn’t interacted with that site any more after 30 days, the cookie is purged.

What Does This Mean for Advertisers?

Currently, ITP is only enabled for mobile and desktop versions of Safari. According to Statcounter as of August 2017, Safari holds a little over 20% of the desktop browser market – but as much as 58% of the iPad tablet market (Android mobile devices do not support Safari). This may not sound like much compared to Firefox or Chrome, but it actually represents millions of users. And, as privacy concerns grow, advertisers and marketers alike can expect this type of technology to spread across all popular browsers and devices.

The question then becomes, what does this actually mean for advertising – particularly platforms like Google Adwords?

Google has responded to the Intelligence Tracking Prevention initiative by changing how it captures and reports conversions within Adwords. According to Apple’s own recommendations, which recommend “server-side storage for attribution of ad impressions on your website” and that “[l]ink decoration (padding links with information) [be] used to pass on attribution information in navigations”.

According to Chi Hea Cho, a spokesperson for Google, “[w]e are updating our measurement tools, consistent with Apple’s recommendations for ad attribution, to help our customers continue to accurately measure ad clicks and conversions. These changes are designed to work for all browsers, but are timed to adapt to the new settings Apple is introducing. Our goal is to limit interruptions to our users’ experiences and to preserve our partners’ ability to evaluate their investments in digital advertising. As always, giving users choice and control of their data and how it’s used is a top priority for us.”

To that end, Google has also sent out an email to Adwords users with the following technical details:

To help ensure conversions are reported accurately in your AdWords account, we’ll be making three changes, consistent with Apple’s recommendations for ad attribution:

  1. If you have auto-tagging enabled and a Google Analytics tag on your website, we’ll begin to set a new Google Analytics cookie on that site’s domain, which will store information about the ad click that brought a user to your site. If you have linked your AdWords and Google Analytics accounts, the AdWords conversion tracking tag will be able to use that click information.
  2. AdWords will continue to report conversions for users who have recently interacted with Google services and domains.
  3. AdWords will also use statistical modeling to estimate website conversions that could not be measured from Safari, and include them in your AdWords reporting.

To help with these changes, Google Analytics has created a new type of cookie, called _gac which extends Google Analytics tracking to include Adwords conversions. Whenever auto-tagging is enabled, the cookie is used to store ad click details. Right now, the cookie is sent from Googleadservices.com — which makes it a third-party cookie and one of the types that Apple’s machine learning process would in turn segment and separate.

With _gac, the cookie is instead set on the advertiser’s domain and thereby becomes a first-party cookie — one that conforms to ITP’s rules and recommendations. That means all the ad data associated with that particular user will continue to be sent across for conversion reporting and attribution.

So if you’ve linked your Adwords and Google Analytics campaigns, as most people have, you won’t see any changes and will continue to record conversion data from Safari users. Those that haven’t will notice that Google records the conversion activity only within that first 24-hour period.

How Can Marketers Be Prepared?

The biggest shift that affects reporting and tracking is going to be the migration from third-party to first-party cookies. Still, even first-party cookies aren’t a foolproof solution since no one is truly certain how Safari’s machine learning processes will identify them, and whether or not human ingenuity will work to circumvent these changes and continue to track users as it has in the past.

If you’re working with a vendor that uses its own form of reporting and measurement, ask them what steps they have put into place to mitigate the issues arising from potentially lower data quality from Safari users. It’s important to note that there will likely be shifts and changes in the performance data that’s gathered in the coming weeks and months — so avoid any rash decisions for the time being until things settle.

Of course, the ever-looming elephant in the room is the issue of how effective campaigns will be now that this type of remarketing has effectively been cut off or severely restricted. What happens when users view products across multiple devices but wait longer than 30 days to purchase? The data you gather in these cases is simply not going to be an accurate reflection of what’s really happening.

AdWeek has joined the fray, expressing their concern to Apple and others about how this change has affected business models and the nature of the internet as a whole. They write:

The infrastructure of the modern Internet depends on consistent and generally applicable standards for cookies, so digital companies can innovate to build content, services, and advertising that are personalized for users and remember their visits. Apple’s Safari move breaks those standards and replaces them with an amorphous set of shifting rules that will hurt the user experience and sabotage the economic model for the Internet.

We strongly encourage Apple to rethink its plan to impose its own cookie standards and risk disrupting the valuable digital advertising ecosystem that funds much of today’s digital content and services.

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How LucidChart Used Kissmetrics to Drive Growth

this is a note on How LucidChart Used Kissmetrics to Drive Growth.

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LucidChart, a SaaS-based diagramming application with over 9 million users, wanted to make sure their site was more than just pretty to look at. They wanted to ensure that it was leading users down the path to purchase. This is how they used Kissmetrics to leverage the behavioral data their users were leaving behind and increased conversions by 30%.

The initial step LucidChart took was to dive deep into data to better understand and evaluate the customer journey across their site. They learned what users were doing, where they were going and where they were dropping off across their site. Using insights from Kissmetrics they found key areas in the journey where they could drive efficiency and which pages they wanted to test a redesign.

After creating the new pages LucidChart used the Kissmetrics Funnel Report in correlation with the A/B Test Report to determine the effectiveness variation of the new pages both as a stand alone and part of the customer journey. Until they locked in on the best performing pages and process to drive conversions.

Funnel Report

Growth and marketing teams use our Funnel Report to see where dropoffs occur before conversion. This report is entirely customizable and can be used to track any conversion path you’d like. Furthermore, you can segment the data based on lead source, location, referring links, etc.

Used for illustration purposes. This is not LucidChart’s data.

LucidChart was able to track different segments across the customer journey and compare one another as well as use the A/B Test report to test the new design against the old.

A/B Test Report

With this report, you’ll create your test in an A/B testing tool, such as Optimizely, and track the results in Kissmetrics.

All data is imported from A/B testing tool and stored in Kissmetrics. Note: this is not LucidChart’s data.

What makes this Kissmetrics report unique is that you’ll be able to see how a test impacts any part of your funnel. Want to see if a new headline on your homepage leads to more purchases? Or see how a test in the middle of the funnel impacts the bottom line? Get your answer in just a few clicks in Kissmetrics. Having both reports coordinated in the same tool allowed LucidChart to measure the effectiveness of the new pages’ impact on the customer funnel with the old pages.

The Results

The outcome? By combining the power of the Kissmetrics A/B Test Report with the Funnel Report, LucidChart discovered that 2 pages in particular, their new homepage and new product page, were driving a huge 30% increase in conversions.

“Insights from Kissmetrics drove a 30% lift in our conversions. All of our key customer behavior data lives in Kissmetrics, for both our product and website, so we can quickly identify and take action on any roadblocks across our growth cycle. Kissmetrics is essential to Lucid Software’s growth efforts.”

Spencer Mann, VP of Growth at Lucid Software

Every time a prospect visits your site or uses your product they’re leaving a digital trail of their behavior – showing what they’re doing, where they get stuck, what they like, don’t like and why. There’s tremendous value in that data and it’s critical for driving growth.

Kissmetrics enables you to capture and leverage all that behavioral data to increase conversions, acquisitions and retention.

About Kissmetrics

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How to Get E-Commerce Customers Coming Back After Their First Purchase

this is an blog post on How to Get E-Commerce Customers Coming Back After Their First Purchase.

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Getting prospects to convert to customers is one thing. But how do you get customers to buy again and again after the first purchase? This is where attentive, customer-focused emails come on. Despite some heralding the “death of email” over more modern platforms like texting and social media, good, old-fashioned email remains one of the best ways to seal the deal, engage customers and encourage repeat purchases.

So what kinds of emails should you send? How often should you send them, and what should they contain? Here are a few of the best examples of e-commerce follow-up emails and why they work so well.

The Repurchase Reminder

Oftentimes, when you make a purchase on a website, they email you immediately after encouraging you to buy again. This marketing strategy is rooted in the idea that customers are likely to come back and purchase while your brand is still fresh in their mind. But oftentimes, companies send emails out immediately and when the customer (naturally) doesn’t respond, they no longer follow up.

If your repeat purchase numbers are flat-lining and your emails are stale, why not wait until more time has passed (depending on how often the customer uses the product) to remind them? Here’s a great example from Sephora, which reminds the customer to restock based on how much time has passed since their first purchase:

Sephora reminds the user to restock based on their past purchase. (Image Source)

Another creative spin on the restock email comes from Clinique. Since their data likely shows that women tend to shop online for beauty products more than men, they wouldn’t have as much luck sending a shaving gel refill reminder to men — so they advertised a refill reminder for him, to her. See how they did it:

An advertisement for men’s shaving gel — targeted to women, who are likely the ones shopping for beauty products. (Image Source)

We Miss You!

One alternative on the restock/repurchase follow-up email is tailored to the bargain hunter, like this email from Starbucks. There’s no better way to stay top-of-mind than with a coupon, and many customers actively wait to purchase until they get a deal. Knowing this, why not reach out with a discount?

This reminder from the Starbucks Store gets right to the point with a discount for customers that haven’t shopped in awhile. (Image Source)

Bodybuilding.com sends customers an email if they haven’t repurchased after about 3 months:

bodybuilding.com come back 10 percent off order

Another common tactic is to follow up with customers asking them to review their recent purchase. Again, this is extremely common and almost expected — but customers don’t always have the time at that very moment to write up a lengthy review. So how do you get them clicking? Here are some creative ideas that take feedback to a new level.

Going Beyond “How Did We Do?”

For the customer who doesn’t have time to write up a huge review, but the company still needs their feedback data to work with, I present to you the Amazon 1-click review:

amazon customer email

Amazon encourages busy customers to simply click to review the size of garments they’ve purchased online. (Image Source)

Of course, you’ve likely received plenty of emails asking for your feedback, and even some that go the extra mile by giving you a discount coupon, entering you into a contest and much more. But this one is noted for its pure simplicity plus its unobtrusive style. It doesn’t get in the way — one click and you’re done.

And speaking of Amazon, you already know that they’re the e-commerce leader simply because of how much they test, monitor, tweak and track everything about their site. One of the more famous changes was adding in the “Customers who bought X, also bought Y” feature. Now much more commonplace on e-commerce sites, this “Frequently purchased together” option often encourages greater purchase volume per customer.

But what happens when they don’t purchase all of the items together? Is emailing them about it a lost cause? Not exactly…

Frequently Purchased Together (But It’s Not What You Think!)

Not all “Frequently Purchased Together” emails have to be a sales pitch. And if the customer didn’t buy them when they were originally presented, there must have been a reason.

Of course, the reasons why customers choose not to buy could be a whole other blog post in itself, but knowing what you know, why not steer the customer more toward educating them about the product add-ons or accessories rather than simply presenting them?

An example of a Thank You follow-up email from BabyFirst. (Image Source)

Since, in the example above, the customer is shopping for baby-friendly TV shows, the company naturally recommends a couple of DVDs that a baby or toddler might like, as well as a coupon and directions on how to get it for free.

The Warranty Expiration Notice

This type of email normally applies in cases where you sell parts or electronics that are under warranty. When making a purchase, customers sometimes don’t opt for the extended warranty, preferring to rather stick with the original manufacturer’s timeframe. But reminding them that the original manufacturer’s warranty has almost expired, and inviting them to extend the protection on their purchase might be just the thing they need to keep their original purchase in good working order:

An official-looking email regarding a car warranty.

Here’s another example offering an enhanced warranty on a lamination machine:

A warranty announcement included on new products. (Image Source)

The “Just Looking” Reminder

With all of the email examples showcased so far, you’d need the appropriate data based on what the customer bought previously. But what if they haven’t bought yet, and are only looking? Are you out of luck? Not at all. Provided you have the prospect’s email address, you can still send them reminders, even if they haven’t added a product to their cart:

Recommendations on shirts and a reminder based on shirts and slacks previously looked at, from Calvin Klein. (Image Source)

Here’s another example that reminds the user of the products they browsed in case they want to take another look and don’t want to have to sift through their browser history:

An email reminding the user of the products they looked at. (Image Source)

Use Demographics to Sell

As opposed to many of our other example, these emails do not rely on previous purchases. They start fresh with new product recommendations based on the demographics.

For example – has it been raining in Minnesota for the past few days? Find all your prospects located in Minnesota and send them an email showcasing your umbrellas.

Many of your prospects are likely either searching for one because a) they don’t have one or b) the one they have is old, has holes, etc.

This can go beyond weather. Many political radio broadcasts will have “doomsday” meals when the inevitable apocalypse comes. When Barack Obama was president, Glenn Beck and many other conservative pundits advertised “4-week emergency food supplies”:

Image Source

Does this profit off irrational fears? Yes.

But it also means understanding your audience. If they’re afraid, what are they willing to buy? Sell it to them. If it’s snowing, what are they willing to buy? Offer it up for sale.

Marketing is all about targeting the right people, when they are most receptive to your product. What better products to advertise to those that fear end times are near?

New Product Recommendations Based on Past Purchases

Finally, we have the “new product recommendations” email. Rather than always notifying customers every time you have new items in stock (and hoping they might like some of them), why not segment the new product announcement emails based on what the customer has purchased previously? They’re much more likely to buy, and they’ll welcome the added personalized attention!

Despite the different products and industries, all of these emails have one major thing in common — and that is a dedicated — almost fanatical attention to customer orders, browsing habits and preferences. And although you may be doing a great deal of e-commerce by email, there are still, as these emails demonstrate, new ideas and approaches that can be capitalized on.

Do it all with Kissmetrics Campaigns

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8 Overlooked Mobile Design Best Practices You Need to Implement

this is a note on 8 Overlooked Mobile Design Best Practices You Need to Implement.

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93% of Internet users browse the Internet on a mobile device every day. That’s 3.5 billion people who could potentially be seeing your website on their phones or tablets at any given time.

It follows, then, that you should be working as hard as you can to optimize your online presence for mobile. Trust me, there’s nothing worse than having a marketing funnel that’s totally ineffective on non-desktop devices.

To give you some guidance, I’ve put together 8 mobile design best practices you need to be following. They’ll help you streamline your visitors’ user experience, maximizing the impact of your marketing funnel for any device.

1. Get Rid of Your Navbar

On mobile, real estate is at a premium – I think of my iPhone screen like a map of downtown Manhattan, where every pixel costs a pretty penny. Check out how much space a mobile navbar can take.

mobile navbar

This means you need to maximize what you’re getting out of your website on mobile.

One easy way to do this is to drop your navbar on mobile.

On a laptop or desktop, your navbar can be incredibly helpful – it’s a simple way for your visitors to browse the pages on your site, making it simple for them to find exactly what they’re looking for.

But on mobile, your navbar can take up a ton of space that could otherwise be used for text, images, or whatever other content you have on your website or landing pages.

Now, you might be wondering how visitors are expected to browse your site without a navbar. There’s a few ways around this…

The most popular way is to incorporate a hamburger menu, which allows you to create a much smaller (but still branded) top bar. The hamburger menu acts as a drawer, pulling out from the left side of your screen to show the various menu items in your navbar.

Or, depending on the size of your webpages, you might opt to create a single-page layout for mobile devices. However, unless your website is relatively sparse content-wise, this probably isn’t the best option for your business.

2. Keep Important Elements Within Reach

Think about the time you spend on your smartphone.

I’m willing to bet you use it pretty often – maybe while you’re on the bus or waiting in the line at Starbucks (or perhaps reading this article, right now?). Now, think about how you hold it. If you’re like most of us, you’re only using one of your thumbs to interact with your screen.

You’re not alone: according to a recent study by mobile UX expert Steve Hoober, 75% of people only use one thumb to interact, too.

Years ago, the diagram below was a bible for mobile designers, giving them insight into how they should lay out content to optimize user experience for the majority of website visitors.

Image Source

Though the above may have been accurate at the time, things change quickly (and in technology, even quicker). In the last few years, our phones and screens have been getting bigger and bigger… but our hands are staying the same.

The way we hold our phones has changed – as such, screen “hot spots” have shifted, with touch accuracy dropping as we approach the screen’s outer edges.

Image Source

As a result, we as designers need to organize content in a way that puts primary interactions front and center, saving secondary and tertiary functions for the top and bottom screen edges.

The position of these functions relates directly to ease of access for a user. Primary functions lie in the area that users can access easily with their thumbs, while tertiary (and to some extent, secondary) functions lie in lower-accuracy zones and require a little more work to get to.

3. Optimize and Minimize File Sizes

You’re probably already aware of how important it is to optimize the size of the images on your website. They drastically affect load time, which has a cascading effect on both user experience and the search ranking of your pages.

This is doubly important on mobile. Not only are connections less reliable on mobile, but also mobile users don’t like waiting. That means if your page isn’t loading quickly, they probably won’t stick around to let it finish.

Use a site like TinyJPG, or tools like ImageOptim (Mac only) or Photoshop’s “Export for Web” to make sure you minimize the file size of your images before you upload them to your website.

There are two primary properties that affect file size:

  • Quality: Put simply, quality is exactly what it sounds like. Turning down the quality setting will reduce the sharpness of your images and increase the possibility of artifacts appearing on your images.
  • Size/Resolution: Go figure – the actual size of your image has a large effect on its file size. Obviously, you don’t want to make your images so tiny that your visitors can’t see them – but if, for example, the column you’re placing your image in is 600px wide, your image doesn’t need to be 1000px wide. Resize them to fit before uploading.

4. Link Phone Numbers and Addresses

Optimizing for mobile is all about streamlining a visitor’s experience. It should take them as few steps as possible.

This means taking advantage of interactions on mobile that will help make visiting your website (and buying your product or contacting your business) a pleasant experience.

If your website is sales-reliant or if phone is an important touchpoint in your marketing funnel, one of the most important things you can do is make it easy for people to call you.

One simple way to add value to your “contact us” page is to make your phone number a clickable link. Everybody knows the pain of frantically swapping back and forth between your phone and browser apps to type in a phone number, or trying to copy it and accidentally copying all of the other content on the page, too.

Trust me, making your phone number clickable makes a big difference.

All you need to do is link your phone number like this:

And it will appear like this:

123-123-1234

This will allow users to click to call.

In the same vein, you’ll want to make sure other important details are interactive as well – for example, clicking your address should open up a visitor’s Maps application. Though most apps like Facebook will automatically set this up, you can type your address into Google Maps and copy the Share link to link it to the address on your website.

It’s these little things that help make visitors feel like they’re not missing out on anything when they visit your pages on mobile, and it saves them from having to do extra work.

To put it simply, don’t let your mobile browsing experience choke your marketing and sales funnels.

5. Design for Responsiveness

If you were around during the advent and uprise of the mobile web, you might recall that most websites actually built entirely new layouts for mobile that would work for the smaller screens of the pre-iPhone era.

These pages often featured minimal images, and were relatively text-heavy to combat the slow browsing speeds mobile users received on their non-3G, non-LTE, non-WiFi networks.

Fast-forward about ten years, and the mobile landscape has changed entirely. Screens are huge, internet connections have quickened, and tablets exist.

These advancements (and other advancements in front-end design languages like CSS) have paved the way for responsive and adaptive design.

Though there are nuances between these two types of design, their principal purpose remains the same: create a single website layout that responds and changes dynamically based on the device each visitor is using.

responsive design from desktop to mobile

Hopefully, the webpage template or landing page editor you’re using will automatically create a mobile-responsive version of your page as you build it, removing the hassle from you or your designers to manually create it.

There are a few things to keep in mind when we consider responsiveness:

  • Image sizes: If images are important to the content on your page, make sure they’re clearly visible on mobile. Images that are 50% width on desktop may also show up at 50% on mobile, and that’s too small.
  • Layout/order of content: Depending on the way you organize the elements on your page for desktop, your content may be awkwardly ordered when you shift to mobile. Double-check to make sure all content is in order, even on other devices.
  • Animations: Animations that look fine on desktop might not work out well on mobile. Check these over on your phone before publishing your page to make sure they’re okay.
  • Video: In keeping in mind my previous recommendations regarding file sizes, think about hiding (or removing) video on mobile. It’s large, heavy, and can drastically slow down your mobile experience.
  • JavaScript: Though JavaScript is a wonderful and magical thing, it won’t always work on mobile – check to make sure it does.

6. Disable Popups

In 2017, Google rolled out their soft penalty for what they call “intrusive interstitials”.

In layman’s terms, this pretty much means popups. Here are a couple examples straight from the horse’s mouth.

Image Source

Basically, having popups show on your webpages on mobile devices greatly detracts from user experience, as visitors are unable to access or see the content they’ve clicked to find. To combat this, Google is penalizing pages with popups by reducing their search ranking, to discourage people from adding popups to their sites.

The simple solution? Disable popups on mobile. Seriously – just turn them off.

Allegedly, some user-triggered popups like scroll or click popups aren’t penalized – but I can’t find anywhere that confirms this, so take it with a grain of salt.

If your popup is rather important, add the content in as a section on your page, within your content (or even above the fold). This will stop Google from penalizing your site’s search ranking.

7. Optimize Forms for Mobile

If you’ve ever done some online shopping on your phone, you probably know how frustrating it can be to fill out form after endless form.

While the overall typing experience on mobile has vastly improved from the days of T9, it’s still not perfect. It relies heavily on autocorrect, and can still be quite taxing on the thumbs.

What’s the lesson here? A simple syllogism: long forms require a lot of typing. Typing sucks on mobile. Therefore… long forms suck on mobile.

If you want to try to minimize the negative effect mobile might be having on your conversion rates, try making one of the following changes to your form fields.

Reduce the number of form fields on your page

It’s simple – reducing the number of form fields a user needs to fill out greatly reduces their perceived workload, which can help in reducing visitor friction.

Though this isn’t always a viable option – often, form fields are there because they’re necessary – reducing some of the less necessary ones (last name, maybe?) or combining multiple form fields into a single field (first and last name, for example) can make a big difference.

Break up forms into multiple steps

Segmenting your form into multiple steps can help you increase conversion rates on mobile.

For example, if you have 9 fields, you may want to put only 3 in the first step. When a user fills out these 3 and presses the form submission button, they’re taken to the next page to fill in a few more fields, and so on.

This not only makes converting on your form seem less intimidating initially, it allows you to collect lead information in small bits from your visitors, which can help you if they eventually bounce from your form. I’d recommend collecting at least email on the first part of your form, so you can market to them in the future.

8. Utilize Collapsible Sections/Accordions

When your content has all been collapsed into a single column on a smaller screen, it’s going to end up being much longer.

This is an issue on mobile because it suddenly makes it much more difficult for a visitor to navigate and find what they’re looking for.

An elegant solution to this is to utilize collapsible content sections, otherwise known as accordions.

Accordions are containers that hold content; they show up as only a header and expand once a user taps on them. This allows your visitors to skim your page for the content or topic they’re looking for without needing to sift through a ton of copy and images.

You’ll need to do a bit of front-end work to put together an accordion, so get your designer or developer on the line!

Wrapping it up

Hopefully, these mobile design tips have given you some insight into how you can streamline user experience for the people who visit your website (or landing pages) on mobile.

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How Linkody Hacked Customer Retention

Here is an blog post on How Linkody Hacked Customer Retention.

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Retention, huh?

It’s like interviewing for a job and getting to the last stage of the interviews — just to realize it’s not going to happen.

We spend money on getting people to our website, visitors spend eight seconds on the page and 98% will never return.

Boy, that hurts

It is especially painful for SaaS businesses because of their lengthy sales funnels and high acquisition costs.

A while ago we decided to gather data on how to attract visitors, move them down the marketing funnel and make sure they love using our tool.

But before we get into the details, let’s go through what retention rate optimization is and how data can be helpful in improving it.

What is Retention Rate Optimization?

Retention rate optimization is the process of improving the rate of customers returning to use your services.

It sounds like something you should be doing, right?

In numbers it looks like this:

  1. If 100 people land on your site, on average 2-3% percent will “convert” — i.e., do whatever you want them to do.
    1. In our case, it’s 8% of everyone who takes the free trial.
  2. So, if we want eight people to try our free trial we have to get 100 to land on our page.
  3. The retention rates of different industries are hard to predict, but, in our case, we are generally able to keep these eight people for a month. Afterward this will happen:
    1. 4 to 5 people will unsubscribe.
    2. But 3 to 4 will try our paid plans, from which only 1 to 2 subscribers will keep paying for more than a month.

This means that only one or two people out of 100 will keep paying to use our services. So naturally, improving this number became a big priority for us.

This is where retention rate optimization comes in, trying to boost your profit on every potential customer who lands on your page.

Now it’s time to explain the path we took.

Behavior Analysis

First of all, you have to try to understand your customer’s behavior:

  1. Why did they leave after trying the free trial?
  2. Why did they leave after trying the paid plans?

The best way to test your assumptions is by simply by talking to your customers via emails, calls, live chats or Skype calls. Anything will do.

One low-key method we tend to use is Hotjar’s Poll. To set it up you simply implement a small code snippet — similar to setting up Google Analytics — and set up the question sequence.

It looks like this: the question is triggered few seconds after you visit a page.

Ask simple, open-ended questions and soon you will have a lot more insight into why your customers do what they do.

Let’s get Ready to Monitor Data

Have you ever heard the statement, ‘Numbers don’t lie’?

Trust numbers more than you trust anyone. Period.

Google Analytics won’t cut it in delivering the insights into customer behavior you need. You will need funnel and event data monitoring software to help to visualize your events.

In this case, Kissmetrics is the perfect tool for this job.

The metrics these kind of tools offer is what one might need to investigate customers’ behavior.

Setting it up is a bit more technical than with Google Analytics because you have to assign tracking to every event you want to monitor. This will take some time if you don’t have developers at your disposal.

What’s great about behavior analytics’ tools is that they offer easy-to-schedule demo calls, in case there is something you struggle to understand.

Once everything is set, let’s see how we can use this data to improve your retention.

Improving the Onboarding Process

In general, users who have tested different features of your tools can be retained for longer than those people who haven’t tried such tasks.

Designing user onboarding shouldn’t be left to gut feeling. Instead, make sure to tailor it to the features your users find the most useful.

Once you can track events and see the impact your onboarding has on user retention, you can then form a set of assumptions. These assumptions should then be tested to see if iterating your onboarding could improve your retention rate.

Retention rate analysis

We discovered that people who used a key feature of our tool have a retention rate of 20.1%.

This key feature was also the first step of our onboarding.

The second step was to connect our tool to Google Analytics. As it turned out, people who did add Analytics stayed for an average of 12 days, with a retention rate of 7.69%. Compare this to the 1.69% retention rate for people who skipped this step.

We kept exploring the actions people took using our tool. Interestingly, people who used the disavow feature were much more likely to return — this cohort’s retention rate for 12 days was stunning 10.2%.

We had a 24% retention rate increase just by suggesting a few spammy backlinks to disavow.

Once you spot opportunities like this, your assumptions must be tested to see if seemingly useful changes actually deliver the expected outcome.

Imagine the impact if all of your customers would have the same experience as your “star” customers who make the most of your handy features.

From Free Trial to Paid Plan

Once you know the precise likelihood of people sticking around after performing action X, you can assign a value to this activity.

For example, ProdPad gamified their 7-day free trial by giving extra “free days” for each action people performed on the page.

This makes a lot of sense. Any free days you give to your customers are useless if they don’t use them to do things that will make them stick around.

You can even take this one step further. Investigate which actions increase the chance of people switching from free trials to paid plans.

Have a look at the data on activities that improve conversion rates between steps in your funnel. In this case, it’s customers moving from free plans to paid plans.

We discovered that people who linked Google Analytics to our service were 32.5% more likely to use paid plans, compared to those who didn’t link.

This is what we found using the same correlation for the cohort that used our disavow tool:

The disavow tool is seemingly so crucial to our retention rate that it more than doubles the conversion rate from free to paid plans.

Once you start seeing this kind of data, it’s then time to test to approve or disapprove your assumptions.

Improve Your Marketing Funnel

There are different ways to test your assumptions. Here are two:

  1. Involving your software team to adjust your onboarding and gamify your free trial
  2. Using Facebook ads

Obviously, the second option sounds a lot easier, right?

Easier means faster to test and that’s what we like.

After each interaction with a business, we internet users usually get bombarded with upgrade or discount offers. Indeed, it’s a shame not to help your users find their way back to you — and take the action they for some reason avoided.

Setting up Facebook for retargeting ads

Facebook offers amazing retargeting capabilities, allowing you to target any specific action that a specific group of people took.

First, clearly lay out the actions people can take on your site. Once you know the impact these actions have on retention you can make sure people use your tool to its full capability.

What’s more, I will show you how to display ads after almost any event-taking place while people use your tool.

First, let’s start by setting up the tracking. We will need to implement two things:

  1. A Facebook pixel — here’s the guide that will walk you through it.
  2. Event tracking — here are the codes to implement for facilitating event tracking.

Creating Audiences

Once that’s done, we need to define the specific cohorts (audiences) that we wish to guide further down the funnel.

Every event that occurs on your site is tracked by Facebook’s pixel and people who fall into specific categories can be shown specific ads.

We know our highest retention rate came from people who had used the disavow tool. Moreover, we know there were quite a few people who didn’t do that.

To start, head over to Facebook’s business manager, (1) then to Ads Manager (2), and finally, click on Audiences (3).

There you will be able to create cohorts or “custom audiences” (1). Next, create a custom audience based on “website traffic”.

Then you will have to define the event. In this case, we want to target people (1) who visited in the last 30 days (2) visited Linkody’s “dashboard” (3). Specifically, the ones who didn’t use (4) the “disavow” tool (5) in this period of time.

Make sure to exclude the other groups of people. There is no need to show ads to people who have already done what you will be asking them to do.

Showing Ads for the Right Audience

Now you can reach out to this cohort.

Show your customers the benefits of performing a particular action. Teach them what this feature can do for their business.

These people have most probably not grasped exactly how useful your tool or service is — the exact reason why others love it so much.

A great way to educate people about this is with video guides or blog posts. Film a walk-through or write a how-to guide describing the benefits of taking this action.

Then head over (1) to the Ads Manager (2) and create an ad of your choosing.

Next, select the ad’s objective: I suggest choosing between traffic (1), engagement (2), or conversions (3).

Then, all you have to do is select the custom audience you created before.

Done!

Now all you have to do is check if your retention rates are improving.

This will help you to quickly prove or disprove the assumptions you made before.

Go Ahead and Optimize your Retention

This guide can help you to get the best return out of the money you’ve already put down. So why not go ahead and test it to see if you, too, can boost your profits.

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6 Metrics You Might Think are Important But Really Aren’t (And What to Track Instead)

this is an blog post on 6 Metrics You Might Think are Important But Really Aren’t (And What to Track Instead).

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You know all of those metrics you track?

They’re probably worthless.

I’m not saying they have absolutely no value, of course. I’m just saying they’re doing nothing for your bottom line most of the time.

These are the things that you think matter, but don’t.

In other words, you can track them, but don’t rely on them for real dollar value.

The trick is knowing which ones are valuable and which aren’t.

Here’s why some of those “important” metrics don’t really matter. Along with a few actionable ones you should worry about instead.

1. Clicks + Pageviews

We’ve heard it all before. The questions, the egos, the bragging.

How do I drive 100,000 visitors in a month? I need traffic fast!

Here’s how I drove 4,000 visitors a day, you can too with these simple tricks!

*sigh*

It sounds too good to be true, because it is.

Unless you’re getting paid for the pageview, and you want people to bounce instantly and never return, then go for it. Spam your link on Pinterest, forums and Reddit.

But, if you want to be realistic with yourself, clicks on your ads and page views on your content mean nothing if people aren’t either:

  1. Sticking around and reading more on your site
  2. Converting / buying a product or service / signing up for something
  3. Fulfilling the goal you have set on that page for visitors

So, if your clicks went through the roof yesterday like this:

But, your conversions were like this:

And your pageviews were like this:

But your goal completions were like this:

Then what.is.the.point?

Clicks and pageviews are worthless if they don’t lead to conversions.

2. CTR

CTR. The glorified metric that drives everyone from PPC to SERP “growth hackers” crazy.

Look at me, I’ve got a 66% CTR!

Oh cool, how many conversions did that get you? Two out of 4,000 clicks? Make it rain baby!

Ok, on a more serious note, here’s why CTR don’t mean $#!* in the real world:

Take a look at that AdWords table.

The highest converting, highest traffic keyword/ad group has the lowest CTR (by far).

YET… also the highest conversions (by far).

Paying a low bid on the keyword and spending less money = lower positions = more competition = lower CTR.

But, conversions are still sky-high.

The whole account has an average total CTR of 3.49%. That’s “not good.”

Except, the average Cost per Conversion is 5x lower than the average sale revenue.

I’ll take that deal any day of the week.

CTR ain’t the gold standard. I don’t care what your CTR is if it doesn’t bring in conversions.

3. Impressions

Let’s say you own a brick and mortar store. You sell shoes.

It’s launch day and you get 40,000 people to walk in and out of your store that day.

Those ads must be working!

You’re checking ‘the books’ and you see the following sales numbers: $500. Total.

Now do you get it?

Impressions are cool and all.

“Hey, (insertbossesname), our product was seen by 100,000 people today!”

But at the end of the day, they don’t matter if (can you guess what’s next?) they don’t lead to sales, conversions, or goal completions.

4. Total Backlinks

Backlinks are good. They help with ranking metrics and credibility.

But total backlink quantity is over-emphasized.

Constantly we see people worrying about how many links they can get, however they can.

*Queue Oprah Gif: You get a link! You get a link! And you get a link!

If your backlink profile is spammy:

… then those links don’t mean anything.

URL’s with low DA’s that are known for spamming or giving links like it’s candy on Halloween aren’t going to get you to the top of Google (anymore).

Ideally, you want a nice backlink profile from relevant, editorially-based sources that don’t just hand over easy links willy nilly.

kissmetrics backlinks

5. Rankings

Rankings can be awesome. Who doesn’t love being #1 on Google?

We’ve all seen this graph before:

traffic drop-off after first page on google

Image Source

Sounds peachy, doesn’t it?

We simply grind our content to the top ten positions and get the lion’s share of clicks.

But, it’s BS. Just ask Wil Reynolds.

Google is constantly changing. Personalizing their methods, learning about real people, and real human interaction with their service.

SEO rankings are more related to user search history now.

There’s more importance being placed on things like first impressions and brand loyalty in today’s world than there is on keywords and content.

So doing all those little SEO tricks to get you to the #1 spot isn’t going to be as helpful as you think.

AND, #1 on the SERPs doesn’t translate into conversions.

You need a funnel. Not a ranking.

6. A/B Test Results

Most A/B tests fail to provide meaningful insights.

Why?

Because you’re testing your own opinions and assumptions, allowing that pesky biases to ravage your results.

That’s not the only problem, though.

Peep Laja from CXL tested tons of data and experiments and found that A/B testing is worthless if you have less than 1000 conversions. Per month. Minimum.

Welp, that’s disheartening. Unless you’re getting over 1k (minimum) conversions per month, forget A/B testing and the results you got.

They don’t mean anything.

They might look nice at first. But most likely, they’ll regress back to the mean eventually.

Here’s what you should be tracking, instead

Don’t drown in all this negativity just yet. There’s good news, too.

Here are a few metrics to focus on to help make the cash register ring.

1. Funnel Report Data

We just talked about how A/B testing was a waste of time unless you have 1,000 minimum conversions per month.

BUT, you can figure out your conversion trouble spots much faster using funnel report data (courtesy of Kissmetrics).

Funnel reports show you how users actually move through your website.

You can see who performed certain actions, who didn’t perform a desired action, and who skipped certain steps in your funnel (for good or for ill).

You can also track certain steps in your funnel:

So if someone visited, then signed up for a newsletter, then viewed a video, you’d know.

You can then use this data to do things like:

  1. Identify conversion bottlenecks preventing people from joining, signing up, opting-in, or signing on the dotted line
  2. Segment your audience into cohorts to further analyze your funnel
  3. Zoom in on your acquisition funnel to see exactly where and when customers activate

Basically, you can determine how to increase conversions. Reliably. Consistently. Without running a single A/B test.

2. Backlink Quality

High quality backlinks can be hard to get.

You can’t fake ‘em.

They’re a leading indicator, sure. But the best kind.

It’s a measure of performance, telling you (1) how efficient those promotional activities are and (2) if you can expect to see increased traffic in the near future as a result.

For example, here’s what a good backlink profile should look like:

moz open site explorer

#humblebrag

It’s diverse.

We aren’t getting hundreds of links from the same site over and over, as the link quality wouldn’t be as strong or meaningful.

And there are links from other high-quality sites in our industry. Relevance for the win!

But building high-quality backlinks takes an investment.

One survey by Moz found that roughly 37% of business owners spend between $10,000 and $50,000 per month on external link building.

That’s a lot.

We’re not saying you have to invest that much. There is a lot you can do to get better backlinks without dropping that kind of dough.

The point isn’t to just build links. That poor-house mindset is how you end up with the junk.

The point is to look at how you’re getting those links. The campaigns and activities and efforts bringing them in.

Change the strategy, change the end result.

3. ROI

Good old ROI. The gold standard metric.

That no one ever talks about online.

You see all the other stuff here. You might see revenue numbers and customer counts.

However, rarely do you see blog posts diving into the bottom-line numbers that actually count.

Let’s say you get four impressions and one click (and one pageview), with a 0.25%CTR and 0.25% conversion rate.

BUT, you only spend $5 and the buyer converts for 10x your cost per acquisition.

See what I mean? Who gives a crap about any other metric in the end besides ROI.

Now, I’m not saying you should completely ignore optimizing for conversions. Definitely not. Those are extremely important.

Just keep in mind that data lies. High conversion rates aren’t always as promising as they look.

Look at historical data, pinpoint trends, figure out what ROI means for you.

Ask: How does this specific measurement help our company’s growth?

And by growth, we don’t mean impressions, rankings, etc.

Knowing the number of leads each ad campaign is driving is fine. But it’s not good. You can’t stop until you see how much revenue each attributes.

Conclusion

Some metrics matter more than others.

Traffic, clicks, page views, CTR, and… don’t matter as much in the long run. Vanity metrics like these sound amazing on press releases and blog posts and webinars and Growth Hackers and weekly stand-up meetings.

But they don’t help so much when it comes time to run the annual numbers.

You want to think big picture.

Look at your overall funnel. Where are people coming in? What are they doing? Where are they going?

Look at your backlinks to see which drive signups. Links, by themselves, are fine. But the important part is to first identify the ones driving real business actions. And then reverse-engineer which activities are driving the ‘winners’ vs. the ‘losers.’

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Podcasts: Your Next Great Marketing Channel, Or Just a Fad?

this is an article on Podcasts: Your Next Great Marketing Channel, Or Just a Fad?.

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When it comes to reaching engaged, relevant audiences, which marketing channels truly shine? Social media? Email? Webinars?

How about podcasts?

“Podcasts?” I can hear you thinking, “You mean those radio shows that were popular in the early 2000s?” Sure, podcasts may have hit critical mass thanks to Apple iTunes and the iPod back in 2004, but new research is showing that small businesses and brands alike are taking another look at the podcast as a formidable marketing tool.

Of course the question is — why podcasts? And why has this technology suddenly re-ignited? Let’s take a closer look:

Podcasts’ Surge in Popularity

According to a recent report from Infinite Dial, 40% of respondents reported listening to a podcast at least once, with 24% doing so monthly, and 15% doing so weekly. Year over year, online radio and podcasts in particular, have shown a growth that simply can’t be ignored. What’s more, according to a separate study from Triton Digital and Edison Research, Americans tuning in to podcasts on a weekly basis has almost doubled since 2013:

Image Source

Listeners Are More Receptive to Products and Services

People are tuning in — and so are advertisers. There’s a lot for advertisers to like about podcasts, since almost two-thirds of listeners are more willing to consider products and services they learned about on a podcast. Over half of them believed that the hosts of the podcasts they listen to regularly are users of the products and services they mention on their respective shows. And those respondents reacted much more positively to products and services mentioned on the shows from the host themselves rather than a pre-recorded ad from a company or sponsor.

Just look at what actions listeners took after hearing about a product or service in a podcast:

Image Source

In addition to high levels of receptiveness, relevancy and engagement, the kinds of people listening to podcasts are the very users many advertisers want to reach: relatively young, high income and high education levels, according to a survey from Nielsen:

Image Source

Now the question becomes — how can brands and companies leverage this audience attraction?

Which Brands are Seeing Success with Podcasts?

One of the biggest points to keep in mind is that no one is going to tune in to a 20 minute commercial about your business. Take eBay, for example. Earlier this summer, Brooklyn-based audio company Gimlet Creative completed a branded podcast series for the auction company called Open for Business. It became the number one business podcast in iTunes when it released in June and talks to create a second season are already underway.

On the surface, it looks like Open for Business has very little in common with eBay itself. Topics include details on how to build a business from the ground up, including: how to hire, how an immigrant can start a business in the U.S., and so on.

Mentions of eBay itself are handled in a very light-touch manner. The podcast does, however, circle back by sharing the true story of a small business owner that found success on eBay. The last episode of the first series focused on the gig economy, which includes getting short term jobs and getting paid from gig-style platforms like Uber, Taskrabbit, Airbnb…and eBay.

The series was a hit — generating an average rating of 4.5 on iTunes and hitting 200% of its download goal.

And it’s not just how-to or curriculum-style podcasts that are getting noticed. GE leverages branded content by using its own sound technology in part of a sci-fi series known as The Message, where cryptographers attempt to decipher an alien message. GE itself isn’t mentioned anywhere in the podcast, but its technology is an integrated part of the storyline.

As part of their digital marketing, General Electric has started a podcast that works well with the audio format.

The Message currently has 5 million subscribers.

You can read more about General Electric’s foray into the digital marketing sphere in our post.

But before you get too excited about the potential of podcasts, it’s worth noting a few downsides.

Measuring Reach: Still In Its Infancy

Currently, the best way to measure how much reach a podcast has is the number of downloads and the number of subscribers to a given channel. Podcasts do not yet have the ability to tell you things like how long people listened or, for example, if someone played a podcast in their car with a group of friends.

What’s more, podcasts don’t correlate the number of downloads to the number of subscribers, so hosts don’t know what percentage of their listeners tune in on a weekly basis, or download an episode. How many people listen one time and then never listen again? No one knows.

Even Apple’s podcast app doesn’t provide statistics or analytics that show what kind of reach the podcast has. So, keep this in mind if you’re looking for measurable marketing gains with podcasts — the information you get is fairly shallow compared to the deep, insightful analytics you get with other marketing channels.

Podcasts Set a Higher Bar for Quality

If you’re looking at starting your own podcast, you can see from the examples above, as well as the top podcasts for your particular industry, that there’s a much higher bar set in terms of quality and consistency than with creating other types of content. Articles like this one may take just a few minutes to read, but with a podcast, you’re asking people to tune in for roughly 20 minutes or so per week – the approximate length and schedule for podcasts in general.

That means you have to commit to a standard of quality and a publishing schedule that’s both dedicated and deeply involved. It’s quite the challenge, to be sure, and many companies — even large ones — simply cannot afford that kind of time investment with so many other digital irons in the fire.

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