Your website is leaking money. Everybody’s is.
The first step toward plugging the leaks is identifying where the leaks are. Which funnel steps, which layers of your site, which specific pages are leaking money? Google Analytics can provide answers.
One thing many people forget when dealing with data: outliers.
Even in a controlled online A/B test, your data set may be skewed by extremities. How do you deal with them? Do you trim them out, or is there another way?
Where should you start with your mobile app analytics?
If you’re launching a mobile app, you’ve likely considered the differences between optimizing a simple site and a mobile app or game. But have you considered how the measurement and data analysis process will be different?
Without a definitive plan and deep understanding of the fundamentals, your mobile app data will get complicated quickly. There are new tools, new terminology, new reports, new rules for efficiency, and so on.
According to Econsultancy, up to 30% of ecommerce visitors use internal site search. Due to the increased level of purchase intent from searchers, they’re known to convert up to 5–6x higher than the average non–site search visitor.
Site searchers account for up to 14% of all revenue, and case studies have shown increased conversion rates of 43% from site search optimization.
Yet how many sites pay attention to site search? Too often, it gets ignored. This post walks you through opportunities to improve your internal site search.
A/B testing is fun. With so many easy-to-use tools, anyone can—and should—do it. However, there’s more to it than just setting up a test. Tons of companies are wasting their time and money.
After reading some subscriber feedback, we noticed that many CXL readers didn’t have a solid foundation regarding a proper Google Analytics setup.
That’s a problem. If Google Analytics isn’t configured properly, how do you expect to gather any insight?
If you ask most marketers, they will tell you that A/B testing and personalization are two completely different things. I respectfully disagree, and I think this disagreement is at the root of how to use them best together.
Retention is the key to building a great business.
When your core product experience brings your users back time and time again, you gain some incredible advantages. You spend less on acquisition, learn from your users faster, and start building a community through word of mouth and referrals.
If you can’t retain your users, you’re going to spend more on acquisition while not growing as quickly. You’ll spread distaste for your product, not delight. Soon, you’ll find that there are no more users out there to churn through.
Customers don’t usually see one ad and then click over to purchase.
In reality, the path is much more complex, and usually includes various marketing channels – organic and paid search, referral, social media, television.
But if you’re a rigorous and data-driven marketer, the question has to cross your mind: how much credit can I give each channel for this conversion?
No one ever said optimizing any website is easy. But at least if you’re working on an eCommerce site, you have clear metrics to hit. You have goals on which (probably) everyone agrees.
But what if you’re an analyst, optimizer, or digital marketer and working on a site without a clear conversion?