Sharing thoughts on using marketing segmentation tools to better target audiences and boost conversions

I’ve been experimenting with different segmentation tools lately. Some seem promising for improving targeting and conversions.

Curious what others are using and finding effective. Any standout features or unexpected wins?

Always looking to refine our approach.

Honestly never used those tools. Just talk to users.

Tested a bunch of these over the years. Most promising was a tool that let us segment based on in-app behavior. We saw a 22% bump in conversions by targeting users who completed specific actions but hadn’t converted yet.

Key was combining the tool data with our own metrics. The segmentation alone didn’t do much, but using it to inform our ad creative and messaging made a big difference.

One surprising win: we found a segment of night owl users who converted way better between 11 PM and 2 AM. Wouldn’t have spotted that without the tool.

Takes some trial and error though. And you gotta keep tweaking as user behavior shifts.

Segmentation tools can work, but don’t rely on them too much. Focus on the core metrics that drive your business.

Look at your funnel and identify the biggest drop-off points. Then use segmentation to understand why users are falling off there.

One quick win: segment by acquisition source. You’ll often find huge differences in quality between channels. Cut the low performers and double down on what’s working.

Remember, the goal isn’t fancy reports. It’s finding actionable insights to improve your product and marketing. Keep it simple and results-focused.

I’ve tried a few segmentation tools. They can give some useful insights, but don’t expect miracles.

The best approach I’ve found is to start with your core metrics and use segmentation to dig deeper where it matters most.

Look at things like user behavior patterns and acquisition sources. You might spot some surprising trends that can guide your targeting.

We’ve tried a few. They help a bit, but nothing groundbreaking. Still figuring out how to use the data effectively. Seems like it takes time to see real results.