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analytics tools

Propensity Modeling: Using Data (and Expertise) to Predict Behavior

C.F. Kettering once said, “My interest is in the future because I am going to spend the rest of my life there.”

When we look at data and analytics, we’re focused on the past. How did we do last quarter? What happened H1 2019? And how does that compare to H1 2018? How well did landing pages X, Y, and Z convert last Monday at 1:03 p.m.? (I’m kidding, I’m kidding.)

Data becomes more valuable when we use it to predict the future instead of just analyzing the past. That’s where propensity modeling comes in.

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Form Analytics: What You Can Track and How to Track It

You spend plenty of marketing dollars trying to get someone to your form. But how much goes to waste at that stage? According to data from Zuko, roughly two-thirds of those who start filling out a form never complete it.

Why? If you’re not tracking form analytics, you don’t know. The data between a pageview and a form completion (or abandonment) is missing.

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hurricane paths

Most hurricanes that reach the United States start off the coast of West Africa. Those storms join and split with other minor systems as they move across the Atlantic. Some dissipate into a mild breeze; others devastate coastal areas along the Eastern seaboard.

So what does an afternoon rainshower over Cape Verde tell you about the next Category 5 hurricane? Often, little more than a form fill tells you about the potential for a five-figure sale months down the road.       

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B2B Marketing Attribution: Models, Tools, and Processes

Talk to any B2B marketer about attribution and they’ll either roll their eyes or rant about how it’s important but hard to get right—long lead cycles, multiple contacts from a single organization, etc.

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two women at computer

In 2009, Netflix offered $1 million to anyone who could improve the quality of its recommendation engine by 10%. It took two years, but a team finally won. Netflix paid the bounty—then ignored the code.

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mixpanel vs google analytics

This post is not a dry feature-by-feature comparison, nor does it include a winner-take-all verdict. Your business won’t benefit from either of those things.

Instead, we’re comparing Mixpanel and Google Analytics in the terms that drive business growth—identifying the core use cases for each tool and the business problems they solve, while highlighting the features that make it possible.

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User State Models

William A. Foster once said, “Quality is never an accident; it is always the result of high intention, sincere effort, intelligent direction, and skillful execution; it represents the wise choice of many alternatives.”

Yet, we continue to see businesses pushing leads through doors, pushing customers through funnels… just hoping that they’ll create a high quality, engaged audience by accident.

Unfortunately, it doesn’t work that way. A high quality, engaged audience is anything but accidental. It requires that optimizers put in the effort to create user state models, dig into cohort analysis and correlative metrics, run experiments for different user states, etc.

It’s not the easy choice, but if you’re looking for long-term revenue growth, it’s the only choice.

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5 Things You're Measuring Incorrectly With Digital Analytics

Watching the growth of digital analytics over the last several years has been both exciting and disturbing.

It’s been exciting because what was a once niche-activity has evolved into a serious, business-focused enterprise activity.

Disturbing, because many people & organizations want to compete on analytics, but are not doing the right things or adopting the right thinking about analytics.

I’ve run into organizations that don’t know how to effectively create, participate, manage or lead analysts and often believe that “data science” or the latest technology will save the day, not the team of people with different skill sets working cross-functionally to make systematic improvements.

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7 Ways that Predictive Analytics Is Transforming Ecommerce

Have you ever dreamed about learning which products your customers are most likely to buy in advance?

How great would it be if you could determine the highest price a customer would pay for a product? What if you could optimize customer service to resolve concerns proactively before they become issues?

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Screw Vanity Metrics – Show Me The Money

This is a guest post by Dan Norris from Informly.

In my last business I was obsessed with traffic. I started a blog and I clearly remember the day I cracked 5,000 monthly visitors woo hoo! Only took me about 2 years.

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What’s on my mind

Hi, I'm Peep Laja—founder of CXL. I'm a former champion of optimization and experimentation turned business builder.

I do a lot of thinking, reading, and writing around business, strategy, and optimization. I send a weekly newsletter with what's on my mind on this stuff.

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