You’ve seen them. A chart overlay of your website that shows where people on the site clicked. Marketing people get really excited about these. They can show their bosses that they’re using some really space-age technology to improve the site. Never once have I heard, “So what? It doesn’t mean they’re purchasing.”
In eCommerce, we’re often trying to ascertain which sections of our site are driving the most value. I’m sure your team has some sort of methodology for this, relying on some awesome tools to improve the overall conversion rate of your site. A typical methodology I see is use of a heat map tool (CrazyEgg, Hotjar, Full Story) to see where users are interacting and clicking on the site. In the best-case scenario, folks in the company use these results to form a hypothesis as to why people interact with this particular feature and what that could mean. Maybe it even opens up an AB test with another set of tools (Google Optimize, Optimizely, etc.) to see if the hypothesis can lead to more conversions. That’s a process that can take weeks in the best case. In the worst case, you’re paying for tools that spit out some pretty charts and nothing more.
One alternative (or complement) I’d like to share is a better usage of Google Analtyics to tie these actions to revenue in one system. What do I mean? We all know event tracking can be added to your site. I like to go overboard and tag almost every element possible on each page. This will essentially build you a list-style replacement of the pretty click map images. What’s better (assuming all is labeled well) is you’ll start to see patterns between what events are hit on site vs. dollars generated – think about it as conversion rate per event or revenue per event.
How to set up
Note – Obviously, some events on your site are geared more toward someone new to the brand and some are geared for someone who already knows about you (eg. events in your cart will by nature drive more revenue for you). This is why it pays to have a reasonable analyst drawing conclusions from the data.
Your report will look like this:
A few things I’ve learned from reports like this:
This is the entryway to future AB test prioritization. We too often test to appease someone. This offers your team the opportunity to test in order of revenue for the business
If you’d like to learn more about other hacks for your startup, please reach out to hello@flywheeldemand.com.
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