The Ecomm Analyst

Peel Insights built its niche around customer cohort analysis and LTV reporting for Shopify brands. The product is well-designed and does what it claims. If you specifically want a cohort and retention analytics tool, Peel is a reasonable choice.

Whether it’s the right tool depends on whether you actually need a specialist for that job, or whether a broader platform can cover the same use case while doing other things you also need.

I’ll be honest about my view here. I run a lean stack and I’m skeptical of paying for narrow-purpose tools when broader platforms cover the same ground. Cohort and LTV analysis matter, but they don’t usually need a dedicated tool with its own subscription and its own integration to maintain.

Here’s how I’d think about it.

1. Lifetimely (Triple Whale)

Lifetimely was the direct competitor to Peel for years before Triple Whale acquired it. The cohort and retention views are strong, the LTV models are solid, and the team behind it knew the space well.

Now you’re buying Lifetimely as part of Triple Whale’s broader stack. If you also want Triple Whale’s attribution, dashboards, and creative analytics, that bundling is a feature. If you only want the cohort analysis, you’re paying for things you won’t use.

The product itself is still good. The question is whether the broader Triple Whale platform fits your needs.

2. ThoughtMetric

ThoughtMetric is primarily an attribution tool, but the cohort and LTV views are robust enough that I use them weekly.

The framing matters here. Seeing LTV in aggregate is interesting but not actionable. Seeing LTV by acquisition channel is where the analysis actually drives decisions. If customers from Meta have a six-month LTV in one range and customers from Google have a six-month LTV well above that, you don’t need much more to know where to push budget.

That tie between cohort analysis and attribution source is where ThoughtMetric earns its place in this conversation. Peel can do the cohort math, but it doesn’t have the same first-party attribution layer underneath. If you’re looking at Peel because you want cohort analysis tied to where customers came from, ThoughtMetric covers that in one tool.

The retention curves, repeat purchase rates, and segment-level LTV are all there too. Less polished on the pure cohort interface than Peel or Lifetimely, but functional enough to do the work.

3. Glew

Glew is the older option for Shopify reporting and analytics, with strong retention and segmentation capabilities. The cohort and LTV views are deep and have been around longer than most competitors.

The interface feels dated. If your team is comfortable looking past that, the underlying analysis is solid. If you care about the experience as much as the data, you’ll notice.

4. Reorder (Postscript)

Postscript‘s analytics arm, focused on SMS retention and lifecycle. Narrower than Peel, with a specific tilt toward SMS-driven cohorts and repeat purchase behavior.

If SMS is a meaningful channel for you and you already use Postscript, the integrated analytics are worth using. If SMS isn’t a major channel or you’re on a different SMS platform, this isn’t the right tool.

5. Daasity

Daasity takes a data platform approach. Daasity pulls your data into a warehouse, and you build cohort and LTV analysis yourself or with their templates. More flexible than Peel, more demanding to operate.

For brands with a data team, Daasity is genuinely powerful. The cohort analysis you can do in a proper warehouse setup goes deeper than any SaaS tool, because you control the segmentation and the questions you can ask. For brands without that capacity, it’s the wrong starting point.

Picking between these

If you need pure cohort and LTV analysis in a polished interface and you’re happy buying a specialist tool, Peel is fine and Lifetimely is the closest competitor.

If you want cohort and LTV analysis as part of a broader attribution and reporting platform, ThoughtMetric covers it without the overhead of a separate tool. That’s my actual setup and it works.

If you have a data team, Daasity opens up analysis that no SaaS product can match.

Most operators I know end up wanting one tool that covers attribution and LTV together, rather than two specialists doing each half. The exception is if you have a specific cohort question that doesn’t fit elsewhere, in which case a dedicated tool earns its place. Otherwise, simplify the stack.