Triple Whale vs Vemetric in 2026: GMV-priced ecommerce attribution vs $5-a-month open-source analytics
Triple Whale rebuilds ad attribution for Shopify brands spending real money on paid media. Vemetric is an open-source, cookieless analytics tool that also happens to auto-detect traffic arriving from ChatGPT, for a fraction of the price.
Triple Whale
Vemetric- Triple Whale's Triple Pixel restores first-party purchase attribution for Shopify stores running paid media. Vemetric has no ad attribution feature; it tracks web traffic and in-product behavior, not ad-to-purchase attribution.
- Vemetric's Professional plan is $5/month for unlimited projects and seats. Triple Whale is free to start but paid tiers scale with GMV, starting at $219/month on Foundation.
- Vemetric automatically detects and attributes website traffic arriving from AI tools like ChatGPT. Triple Whale has no equivalent AI-referral traffic detection; its AI feature, Moby, is a conversational assistant for querying ad and store data, not a traffic-source classifier.
- Vemetric is open-source, cookieless, and self-hostable. Triple Whale is a closed, hosted SaaS platform with no self-hosting option.
- Triple Whale includes Marketing Mix Modeling on higher tiers for brands spending $500k+/month on paid media. Vemetric has no ad budget or attribution modeling of any kind, since it is not built for ecommerce ad spend analysis.
- Neither tool offers white-label delivery. Triple Whale has none at any tier; Vemetric does not list a white-label option either.
Triple Whale and Vemetric could not be priced further apart, and the gap reflects two genuinely different products rather than one being an undervalued version of the other. Triple Whale is built specifically for DTC ecommerce brands that need first-party attribution to see past what iOS 14 broke in Meta and Google's own tracking, and it prices against your store's GMV. Vemetric is an open-source, privacy-first tool that combines web and product analytics for $0 to $5 a month, with no ecommerce attribution ambitions at all. The comparison is less about which is better and more about which problem you actually have.
The tools at a glance
Triple Whale
eCommerce analytics platform with multi-touch attribution, AI-powered insights, and real-time cross-channel dashboards
Triple Whale exists to solve one specific ecommerce problem: iOS 14's App Tracking Transparency changes broke Meta and Google's own attribution, so DTC brands can no longer trust platform-reported ROAS. The proprietary Triple Pixel captures purchase events server-side using first-party Shopify data, restoring an independent view of which ad spend actually drove revenue.
Moby, the platform's conversational AI assistant, runs on Claude, ChatGPT, and Gemini and lets operators ask plain-English questions about blended ROAS, CAC, and creative performance. Higher tiers add Marketing Mix Modeling for brands spending over $500k/month who need statistical channel-contribution modeling, plus creative analytics tying revenue to specific ad creatives.
The trade-off is cost and scope. Pricing scales with GMV, so a growing store pays more even without adding features, and the platform is built primarily for Shopify with unclear support elsewhere. There is no white-label option and no product-usage analytics; Triple Whale measures ad spend and storefront transactions, not in-app behavior or web traffic sourcing.
| Feature | Free Free | Foundation $219/month (base GMV) | Automate $749/month (base GMV) | Enterprise Custom pricing |
|---|---|---|---|---|
| Triple Pixel attribution | Yes | Yes | Yes | Yes |
| Moby AI assistant | Limited | Yes | Yes | Yes |
| Marketing Mix Modeling | No | No | Yes | Yes |
| API access | No | Yes | Yes | Yes |
| White-label delivery | No | No | No | No |
Vemetric
Open-source, privacy-first analytics combining web traffic and product analytics in one cookieless platform.
Vemetric covers web analytics and product analytics in a single cookieless, GDPR-compliant platform, tracking how visitors arrive at a site and following them through the product to find conversion moments and drop-off points, all for $0 to $5 a month. It merges anonymous pre-signup activity with post-signup behavior into one continuous user timeline.
The feature that stands out most is automatic AI referral detection: Vemetric identifies and attributes traffic arriving from AI tools like ChatGPT without any configuration, showing which pages attract AI-sourced visitors and whether they convert differently from organic or direct traffic. The codebase is open-source and publicly auditable on GitHub, and self-hosting is a supported option for teams needing full data sovereignty.
What Vemetric does not do is ecommerce ad attribution. There is no pixel matching purchases to ad clicks, no ROAS calculation, and no new-versus-returning customer segmentation. It is also an early-stage, single-founder product with a thinner integration ecosystem than more established analytics tools, and the founders have said pricing will rise as the platform matures.
| Feature | Free $0/mo | Professional From $5/mo |
|---|---|---|
| Web analytics | Yes | Yes |
| User journeys and funnels | Yes | Yes |
| AI referral detection | Yes | Yes |
| Open-source / self-hostable | Yes | Yes |
| Ecommerce ad attribution | No | No |
Head-to-head feature comparison
| Feature | Triple Whale | Vemetric |
|---|---|---|
| Core focus | eCommerce ad attribution and unified analytics for DTC brands | Combined web and product analytics |
| Ecommerce ad attribution | Yes (Triple Pixel, first-party) | No |
| AI-related feature | Yes (Moby conversational assistant, Claude/ChatGPT/Gemini) | Yes (auto-detects AI-sourced traffic, e.g. ChatGPT) |
| Product usage analytics | No | Yes (funnels, user journeys) |
| Cookieless / open-source | No | Yes (cookieless, open-source, self-hostable) |
| Free tier | Yes | Yes |
| API access | Yes (Foundation and above) | Not listed |
| White-label delivery | No | No |
| Starting paid price | $219/mo (Foundation, GMV-based) | $5/mo (Professional) |
Vemetric flags AI-sourced traffic, but neither tool tracks what AI models actually say about your brand
Vemetric's AI referral detection tells you a visitor arrived from ChatGPT and which page they landed on, a useful traffic-log signal, but it stops there; it cannot tell you whether ChatGPT is actually mentioning or recommending your brand in the answers it generates before that click ever happens. Triple Whale has no equivalent feature at all, since Moby is built to query your own ad and store data rather than monitor external AI-generated answers. AI Peekaboo is built specifically for that gap, tracking brand mentions and competitive share-of-voice across ChatGPT, Gemini, and Perplexity with a read/write API from $50 per month, and it pairs naturally alongside either Triple Whale's ad attribution or Vemetric's traffic analytics rather than replacing them.
Read the AI Peekaboo review →Which should you choose?
Triple WhaleVemetricTriple WhaleVemetricVemetricTriple WhaleThese two rarely compete for the same purchase decision. Triple Whale is priced and built for a DTC brand with real paid-media spend that needs to correct for what iOS 14 broke in platform attribution, and the GMV-based pricing only makes sense once that spend is meaningful. Vemetric is priced for a team that has not reached that stage yet, or never will, and wants cheap, privacy-first visibility into web and product behavior, with a genuinely useful bonus in seeing which pages draw AI-referred traffic.
Bottom line
Choose Triple Whale if you run a Shopify DTC brand spending real money on Meta, TikTok, or Google and need first-party attribution plus an AI assistant to interpret blended performance. Choose Vemetric if you want cheap, open-source web and product analytics, do not need ecommerce ad attribution, and find the AI-referral traffic detection a useful bonus at $5 a month. A brand running both an ecommerce storefront and a broader web product could reasonably run Triple Whale for ad attribution and Vemetric for general site and product analytics rather than treating this as either/or.
Frequently asked questions
Can Vemetric replace Triple Whale for ecommerce ad attribution?
No. Vemetric has no ad attribution pixel, no ROAS calculation, and no new-versus-returning customer segmentation. It tracks web traffic and in-product behavior, not the connection between ad spend and storefront purchases. A DTC brand needing first-party attribution should use Triple Whale, not Vemetric.
Does Triple Whale detect traffic from AI tools like ChatGPT the way Vemetric does?
No. Triple Whale has no AI-referral traffic detection feature. Its AI capability, Moby, is a conversational assistant built on Claude, ChatGPT, and Gemini that answers questions about your own ad and store data, which is a different function from Vemetric's automatic detection of visitors arriving from AI tools.
Is Vemetric mature enough to trust for a growing ecommerce brand?
Vemetric is open-source and actively developed, but it is a newer, single-founder product with a thinner integration ecosystem than more established competitors, and it has no ecommerce-specific attribution features at all. A growing DTC brand with real ad spend will likely need Triple Whale or a dedicated attribution tool alongside Vemetric rather than instead of it.
Why is Triple Whale so much more expensive than Vemetric?
Triple Whale is priced for the value it claims to restore: accurate first-party attribution for DTC brands running paid media at meaningful scale, plus an AI assistant and, on higher tiers, statistical Marketing Mix Modeling. Vemetric is priced as a lightweight, general-purpose analytics tool with no ecommerce ad attribution ambitions, which is a fundamentally cheaper problem to solve.
Does either tool offer self-hosting or full data sovereignty?
Vemetric does. Its codebase is open-source and publicly available on GitHub, with self-hosting documented as a supported deployment path. Triple Whale is a closed, hosted SaaS platform with no self-hosting option at any tier.