5. Visualize your customers’ journey.

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“This model goes beyond traditional lead scoring, because we focus on forecasting potential client lifetime value and alignment with our services,” Zhang says. “The results have been remarkable: Our sales team's efficiency increased by 35%, client retention rate improved by 28%, and the average deal size grew by 40%.”

Customer journeys can be complicated. And it’s hard to spot a bottleneck without visualizing every single step that a user must take. So, why not use AI to analyze data from each channel to identify places where users drop or are less engaged? This is what Securiti.ai did.

Adil Advani, their Associate Product Owner, told me they decided to dig into the data to fine-tune their customer journey. They were aware that every click and every scroll tells a story, so they started analyzing behavior patterns on their site.

“We realized our potential customers were getting stuck at uk whatsapp number database the same points, so we reshaped our site's navigation to make it more intuitive. By simplifying the journey from the homepage to the contact form, we saw our bounce rate drop by 18%, and our leads shoot up by 23%,” says Advani.

The team didn’t stop there; they kept testing different layouts and messages on their main landing pages, which boosted their conversions by another 15%. “It's all about making the experience as smooth as possible for our visitors, and the numbers really do speak for themselves,” adds Advani.

6. Consider implementing dynamic pricing and limited-time offers.
I already briefly mentioned this method when discussing prediction models, but it’s a topic that calls for a separate point.