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By Mansour Norouzi · October 7, 2025 · Curated by George's Blog
I’ve been playing around with Customer Journey Analytics, and here’s what I realized:
If you look at it in isolation, it doesn’t tell you much.
But once you start comparing different time periods, and especially once you define your own rates, like the add-to-cart drop-off rate or whatever makes sense for your brand , that’s where it gets really interesting.
When you start tracking those over time, it becomes insanely insightful.
Every time we make a change — running Brand Tailored Promotions, coupons, new ad strategies, or AMC audiences— I go back to this tool. I use it to see if those experiments actually changed how people move through the funnel.
Here’s one example:
let’s say we target people who added to cart with a Brand Tailored Promotion.
Some people might say, “You’re just cannibalizing — they were gonna buy anyway.”
Maybe. But I don’t like guessing — I want proof.
So I look at how many people added to cart but didn’t buy. Then I track that drop-off rate over time.
If the drop-off goes down after our promo, great — it worked.
If not, maybe we’re just handing out discounts for no reason.
That’s what I love about this tool — it’s not just a funnel snapshot.
It’s a way to see how your experiments actually impact behavior over time.