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Kwop vs DATALYR: which one tells you who almost bought?

By Kwop · Updated 18 October 2026

Kwop (kwop.io) is the one to pick if you want to watch every visit, see which visitors almost bought, and get a follow-up email written for each of them: it ties Stripe, Whop and Shopify payments to the replay of the visit behind them. Kwop (kwop.io) is not an ad attribution platform, so if your main question is which Meta, Google or TikTok ad made money, and you spend $10k or more a month on ads, DATALYR does that job better (checked on datalyr.com, 18 October 2026). Below: what each tool is built for, a side-by-side table, where DATALYR is stronger, and how to test Kwop on your own site for free.

What is the difference between Kwop and DATALYR?

DATALYR measures which channel, campaign and ad drove each sale; Kwop shows what each visitor did on your site and tells you who to follow up. Both match payments to visits, but they answer different questions with that match.

DATALYR calls itself "attribution and analytics software for performance marketing teams". Its plans are sized by monthly ad spend, from $10k to more than $500k. It tracks visits server-side, links devices into one customer, syncs ad spend, reports real revenue against what ad platforms claim, and sends conversions back to Meta, Google, TikTok, Snapchat, OpenAI Ads and Whop Ads. Session replay and heatmaps exist as an add-on on top of that.

Kwop starts from the visit. It records each visit as a replay, scores every visitor by buying intent (how far they went in your funnel, how often they came back, whether they left their email), and lists the people who were ready to buy and did not pay. For each of them it writes a follow-up email from what they did: the plan they picked, the step where they stopped, a promo code that failed. You open it in Gmail in one click and press Send yourself.

Kwop vs DATALYR, side by side

Facts about DATALYR come from datalyr.com and docs.datalyr.com, checked on 18 October 2026. Open their pricing page before you decide, because plans change.

Where DATALYR is better

DATALYR is the stronger tool for paid traffic. If you run ads at scale, most of what it does is outside what Kwop does at all.

• Ad attribution. Campaign, ad set and ad-level attribution with first and last touch and custom windows, ad spend synced from Meta, Google and TikTok, and platform-reported revenue next to real revenue. Kwop shows the source of each visit and revenue per source, nothing per ad.
• Conversions sent back to ad platforms. Server-side conversion APIs for Meta, Google, TikTok and Snapchat, plus OpenAI Ads and Whop Ads, with refunds and chargebacks sent back. Kwop sends nothing to ad platforms.
• More payment sources and mobile apps. RevenueCat and Superwall for in-app subscriptions, Checkout Champ for funnels, and SDKs for iOS, React Native and Expo. Kwop records websites only.
• Heatmaps. DATALYR has them; Kwop does not.
• A larger MCP server. Its tool list covers attribution, ads, cohorts, LTV, reports and dashboards, and agents can act on links and conversion rules. Kwop's 9 MCP tools read your data and write follow-up drafts; they change nothing in your account.

Where Kwop is different

Kwop is built around the people who almost paid, not around ad spend. If you sell a course, a membership, a SaaS plan or a Whop product and most of your traffic is organic, that is usually the question that makes money.

• Replay is the core, not an add-on. Every plan records visits, with journeys, funnels and rage clicks. You watch the visit next to the payment it led to.
• Hot leads, ranked. Each visitor gets a buying-intent score. The hot leads list shows people who went far, left their email and did not pay, with the reason they likely stopped.
• A follow-up written for each one. Kwop writes the email from that person's real visit and only uses real offers, such as an active promo code. One click opens it in Gmail, filled in; you send it. It then tracks who clicked, came back and paid, and can write up to 7 follow-ups per lead. See follow-ups.
• Revenue per visitor. On Pro, you connect Stripe, Whop or Shopify with a read-only key. A payment is matched to the visitor who typed the same email on your site, so each visitor shows what they paid.
• Ask in plain English. Kwop AI answers questions such as "who should I follow up today?" from your Kwop data, and the MCP server gives Claude or ChatGPT the same data in a chat.
• No ad budget needed. DATALYR's smallest plan is sized for $10k to $50k of monthly ad spend. Kwop's plans are priced for small sites.

Demo data from Nova Academy, a fictional store.

Kwop's limits. No heatmaps, surveys, A/B tests, JavaScript error capture or mobile app SDK. It does not record hosted checkout pages such as Stripe Checkout, Whop or Shopify checkout; the payment is matched afterwards by email, so a buyer who used a different email at checkout is not matched. The same is true for DATALYR, whose Whop docs say a different email can prevent a match.

Which one should you choose?

Choose by your biggest leak: wasted ad spend points to DATALYR, buyers who leave at checkout point to Kwop.

• Pick DATALYR if you spend $10k or more a month on Meta, Google or TikTok ads, need conversions sent back to those platforms, track mobile app subscriptions, or need ad-level ROAS for several brands.
• Pick Kwop if you want to watch what visitors did, see who was close to buying, and send each of them a personal follow-up, with revenue from Stripe, Whop or Shopify next to each visit.
• Use both if you run ads at scale and also want follow-ups: DATALYR for which ad brought the visitor, Kwop for what the visitor did and who to email. The two scripts do not conflict.

How do you test Kwop on your site?

Paste your link on the Kwop homepage and create a free account, no card. The free website test then sends a real browser through your site 3 times (a computer as if from a search engine, a phone as if from Instagram or TikTok, someone looking for your prices) and shows each visit as a replay a few minutes later. After you install the script, your first 3 real sessions are visible for free.

Disclosure: Kwop wrote this page and sells one of the two tools compared. DATALYR facts come from its own website and docs, listed below with the date we checked them. If something changed, tell us at contact@kwop.io.

Sources

• DATALYR, homepage (positioning, features, integrations), checked 18 Oct 2026.
• DATALYR, Pricing (plans, ad-spend bands, MCP on every plan, free trial), checked 18 Oct 2026.
• DATALYR, Session replay and heatmaps (add-on, web only), checked 18 Oct 2026.
• DATALYR, AI chat and MCP, checked 18 Oct 2026.
• DATALYR docs, Whop and documentation index (MCP tools, revenue sources), checked 18 Oct 2026.