The Ecomm Analyst

Varos answers a question your own dashboard never can: when your CAC jumps 15 percent, is that you, or is it everyone? It runs a give-to-get data cooperative where thousands of DTC brands share anonymized performance data and get back real-time benchmarks for CAC, CPM, CTR, conversion rate, and ROAS, segmented by vertical, revenue band, and channel across Meta, Google, and TikTok. You connect your ad accounts and Shopify, signup takes about a minute, and there is a free tier with a paid Brands plan starting around 99 dollars a month. For an operator trying to decide whether a bad week is a market problem or a self-inflicted one, that context is genuinely useful and hard to get anywhere else.

The reason people look around is that benchmarking is a complement, not a core system. Most operators do not want a standalone tool just for peer comparison; they want that context living next to their own analytics. The give-to-get model also means you are contributing your data to get the benchmarks, which some teams are fine with and others are not. And in narrow verticals the peer sample can get thin enough that you should treat the numbers as directional. Depending on which of those is your sticking point, here are five alternatives to weigh.

Lebesgue

Lebesgue is the closest competitor on the benchmarking job and bundles more around it. It positions itself as an AI CMO, pairing competitor and industry benchmarks with Meta and Google ad analysis and AI-generated recommendations, at a fixed price starting around 79 dollars a month regardless of store size. If you want benchmarks but also want the tool to tell you what to do about the gaps, Lebesgue leans further into recommendations than Varos does. The recommendations can feel generic, and the integrations are narrower than a full analytics platform, but for a smaller brand wanting benchmarks plus guidance in one place, it is the natural comparison.

Conversific

Conversific approaches benchmarking from the Shopify analytics side. It is a store analytics app with a benchmark layer, so you can see how your conversion rate, AOV, and repeat purchase rate stack up against similar stores in your category, alongside customer reports and CRO analysis. Pricing runs from around 29 dollars a month up to roughly 199. Where Varos is purpose-built for paid-media KPIs across a co-op, Conversific is more about on-site and store-level metrics with benchmarking attached. If the comparisons you care about are conversion rate and repeat purchase rather than CPM and ROAS, Conversific fits that better.

Triple Whale

Triple Whale has benchmark data baked into a platform you might already be using for attribution and analytics. For a store that wants peer context but does not want to log into a separate tool to get it, having benchmarks sit next to your own first-party numbers in the same dashboard is the appeal. There is a free plan and paid tiers start around 200 a month, scaling with GMV. The benchmarks are a feature rather than the whole product, so they are less granular and less central than what Varos does, but for many operators good enough context inside the tool they live in beats better context in a tool they will forget to open.

Polar Analytics

Polar Analytics is the option if you want benchmarking folded into a fuller analytics and BI platform. It pulls Shopify, ad platforms, and Klaviyo into one place with custom dashboards and profit reporting, and layers benchmark context on top of your own data. Pricing is GMV-based and starts in the high hundreds a month. This is the heavier consolidation play: rather than buying Varos for benchmarks and something else for analytics, you get both under one roof. The tradeoff is cost and scope, since you are buying a whole analytics platform to get the benchmark feature.

ThoughtMetric

Here is the contrarian entry, and I will be straight that ThoughtMetric is not a benchmarking tool, so it is not a like-for-like swap. I use it across client stores, so weigh the bias. The reason it belongs on this list is that a benchmark is only as meaningful as the number you are comparing. If your CAC is calculated off platform-reported conversions, comparing it to a peer benchmark is comparing two differently-wrong numbers and drawing confident conclusions from the gap. ThoughtMetric gives you multi-touch attribution and post-purchase survey data so your own CAC and ROAS are measured consistently before you start ranking yourself against anyone, from 99 dollars a month on pageviews. For some operators the honest fix is not finding out how peers are doing; it is making sure your own numbers are trustworthy first.

Picking between these

• Want benchmarks plus AI recommendations at a fixed price: Lebesgue.
• Care more about on-site metrics like CVR and repeat rate than paid-media KPIs: Conversific.
• Want benchmarks living next to attribution you already use: Triple Whale.
• Want benchmarking folded into a full analytics and BI platform: Polar Analytics.
• Suspect your own numbers are off before you even compare them: fix measurement first with ThoughtMetric.
• Specifically want the deepest real-time peer benchmarks across a large co-op: Varos is still the strongest at that exact job, so do not over-rotate if that is the real need.

Benchmarks are useful right up until they become an excuse. “Our ROAS is below the vertical median” is a reason to dig, not a verdict, and plenty of brands are profitable well under the benchmark because their LTV and margins carry it. Use peer data to decide whether to investigate, not to set targets you copy from strangers. And before you compare yourself to anyone, make sure the number you are comparing is one you actually trust.