The Ecomm Analyst

Lifetimely (now part of AfterShip) does one thing well. It gives Shopify brands a usable cohort and LTV view without making you build it in a warehouse. The UI is clean, the LTV curves are easy to share with leadership, and for many smaller brands it’s the first time they’ve seen their data sliced this way.

The reasons brands move off Lifetimely tend to fall into a few buckets. The depth isn’t enough for serious analysis. They want LTV alongside attribution instead of in a separate tool. Or they’ve outgrown the SaaS UI and want SQL-level access.

Here are the alternatives that actually solve each of those.

Peel Insights

Peel is Lifetimely’s most direct competitor. Same Shopify-first focus, same emphasis on cohort and retention reporting, somewhat more depth in the analyses you can run. Peel is generally where Lifetimely users go when they like the format but want more sophistication: deeper cohort slicing, better RFM, more flexible product affinity views. Pricing is similar to Lifetimely’s mid-tier and goes up from there.

If you want the same job done better, Peel is the answer.

ThoughtMetric

ThoughtMetric is what I use, and it covers cohort and LTV reporting as part of a broader attribution platform rather than as the main act. For brands that don’t want two separate tools (one for attribution, one for LTV), having both in the same place is the appeal. The cohort and retention views are solid for the standard questions: how does month-one cohort revenue compare across acquisition channels, what’s the repeat rate by first product purchased, how do discounted vs. full-price first orders affect LTV. If you wanted depth specifically for retention modeling and nothing else, Peel is more focused. If you want the LTV view to sit next to attribution in one tool, this is the cleaner setup.

Polar Analytics

Polar is a broader analytics platform that includes cohort and LTV reporting alongside ad performance, profit, and inventory. Brands tend to pick Polar when they want a single dashboard that covers more than just retention. The cohort module is decent but not as deep as Peel or Lifetimely. Think of Polar as Lifetimely-adjacent if you also want everything else.

Repeat

Repeat is more of a subscription and reorder tool than a pure analytics platform, but it surfaces useful retention data, particularly around reorder windows and replenishment patterns. If your brand is consumables or replenishment-driven, Repeat’s view of who is due to reorder is more actionable than Lifetimely’s historical cohort chart. Less useful if you sell durable goods.

A warehouse setup

For brands with even a part-time analyst, the answer for cohort and LTV is usually to stop using a SaaS tool for it. The logic is well-understood, the SQL is not complicated, and the result is an LTV view tailored to your actual business questions rather than the vendor’s default assumptions. Pair Fivetran with BigQuery, model it in dbt, visualize in Hex or Mode. The catch is that getting from “I have a warehouse” to “I have trustworthy cohort tables” takes a quarter, not a week.

How to pick

• If you want Lifetimely with more depth, Peel.
• If you want LTV to live alongside attribution in one tool, ThoughtMetric.
• If you want LTV as part of a broader operations dashboard, Polar.
• If your business is replenishment-driven, Repeat.
• If you have data team capacity, build it.

One mistake worth flagging. A lot of brands replace Lifetimely with a more advanced cohort tool and then never look at the new tool either. The bottleneck on LTV analysis is almost never the tool, it’s whether anyone on the team has time to act on it. If you’re shopping for a replacement, decide who is going to own the analysis before you decide which platform to buy.