Analytics comparisons/OnRamp vs DataFast

The DataFast alternative built for mobile apps

DataFast is a great revenue-first analytics tool for websites. OnRamp brings the same “which channel makes money” answer to mobile apps, with native SDKs, in-app purchase revenue, App Store install attribution and ad spend from four ad platforms.

30-day free trial · No credit card · Checked against DataFast's own site in September 2026

OnRamp analytics overview with visitors, revenue, bounce rate, session length and a daily visitors and revenue chart
Analytics overview: visitors and revenue on one chart, from the OnRamp demo project. Sample data.

The short answer

Pick the one that fits your product

Choose OnRamp when

Your product is a mobile app (or app plus website), revenue comes through RevenueCat or app subscriptions, and you buy installs on Apple Search Ads, Google, Meta or TikTok. You want ROAS per campaign and to see where new users quit before paying.

Choose DataFast when

Your product is a website or web SaaS paid through Stripe, LemonSqueezy, Polar, Paddle or Shopify, you want a very simple revenue-per-channel dashboard, and multi-year data history matters.

What DataFast does well

DataFast describes itself as revenue-first analytics that shows which marketing channels bring paying customers. It connects web traffic to payments (Stripe, LemonSqueezy, Polar, Paddle, Shopify, WooCommerce and an API), includes goals, funnels and journeys, live visitors, Meta Ads ROAS, and an API, CLI and MCP server. It also offers a React Native/Expo SDK for screens, events and identify.

OnRamp vs DataFast, side by side

DataFast comes out ahead on 1 of these, OnRamp on 6, and the rest are a tie. “Not listed” means we couldn't find it on DataFast's site when we checked in September 2026.

FeatureOnRampDataFastEdge
Built forMobile apps first, plus webWebsites first, plus a React Native/Expo SDKOnRamp
Native SDKsiOS (Swift), Android (Kotlin), React Native, Expo, Flutter and webJavaScript and React Native/Expo. Native Swift/Kotlin/Flutter SDKs not listedOnRamp
Revenue sourcesStripe, RevenueCat, Paddle and Lemon SqueezyStripe, LemonSqueezy, Polar, Paddle, Shopify, WooCommerce and a payments APIBoth
In-app purchase revenue (App Store, Google Play)Yes, via RevenueCatNot listed in docsOnRamp
Ad spend and ROASGoogle Ads, Apple Search Ads, Meta Ads and TikTok AdsMeta AdsOnRamp
Install attributionApple Search Ads and Google Play install referrer (opt-in)Not listed; Meta matching uses UTM parametersOnRamp
FunnelsStep drop-off with the users who left, time between steps, and breakdowns by OS, app version, device and propertyGoals, funnels and journeysBoth
Did the fix work?Compares app-version cohorts before and after a changeNot listedOnRamp
AI agentsAgent setup prompt, CLI and MCP serverAPI, CLI and MCP serverBoth
Data history13 months3 years (Starter), 5+ years (Growth)DataFast
Price to startFrom $10/mo (10k events, 1 app). Scale from $25/mo for unlimited apps and 20 members. 30-day trial, no cardFrom $9/mo (Starter, 10k events, 1 site). Growth from $19/mo. 14-day trial, no cardBoth

Revenue attribution

Ad spend and ROAS from four ad platforms, not one

DataFast’s ad integration is Meta: it matches Meta campaigns to revenue using UTM parameters and campaign names. That works well for web checkouts.

Mobile growth usually runs on more than Meta. OnRamp imports daily spend from Google Ads, Apple Search Ads, Meta Ads and TikTok Ads, joins it to the acquisition context already on each visit, and shows net attributed revenue and net ROAS per campaign. Where a platform doesn’t give user-level data, OnRamp says so instead of inventing attribution.

OnRamp acquisition view showing campaign spend, net attributed revenue, net ROAS and campaign performance by campaign
Ad spend, net attributed revenue and net ROAS per campaign. Sample data.

Revenue

In-app subscriptions count as revenue too

DataFast’s payment integrations are web checkouts: Stripe, LemonSqueezy, Polar, Paddle, Shopify and WooCommerce. We couldn’t find App Store or Google Play purchase tracking in its docs.

OnRamp connects RevenueCat for mobile purchases and subscriptions, and Stripe, Paddle and Lemon Squeezy for web billing. MRR, paying users and trial conversion sit next to the funnel, so you can see which step stops people paying.

OnRamp revenue view with MRR, revenue, paying users, trials and trial conversion
MRR, revenue, paying users and trial conversion. Sample data.

Funnels

See who quit, where, and whether your fix worked

Both tools have funnels. OnRamp’s are built around mobile onboarding: each step shows how many users made it, the hatched zone shows who was lost, and the chip shows how long people took between steps. Click any drop to see the actual users who left.

Break the same funnel down by OS, app version or device to tell a platform bug from a bad step, then compare version cohorts after you ship a fix.

OnRamp funnel with bars per step, hatched drop-off zones and the biggest leak highlighted
Funnels show who dropped at each step and how long they took. Click a drop to see the users. Sample data.

User journeys

Each user’s path, right up to the exit

Open any user to see every session as a timeline of screens and milestones, with idle time between them, plus their device, app version, location, acquisition source and funnel progress.

OnRamp user profile with a session timeline of screens, milestones and idle time, plus device, app version and funnel progress
Every user’s path: screens, milestones, idle time, app version and funnel progress. Sample data.

Setup

Set up by your coding agent, or by hand

OnRamp is agent-first. The setup page gives you one prompt for Claude Code, Cursor or any coding agent. It handles CLI authorization, SDK integration, milestone selection, funnel configuration and verification, then you watch “Waiting for your first event…” turn into “First event received”.

By hand it’s one call per step: OnRamp.init() once, then OnRamp.step('account_created') wherever a milestone happens. The same data is available to agents afterwards through the OnRamp CLI and MCP server.

When DataFast is the better choice

  • Your product is a website or web SaaS and payments go through Stripe, LemonSqueezy, Polar or Shopify.
  • Meta is your only paid channel and UTM-based matching is enough.
  • You want several years of history on the entry plan.
  • You manage many websites and want up to 30 on one Growth plan.

When OnRamp is the better DataFast alternative

  • You ship an iOS, Android, React Native, Expo or Flutter app.
  • Revenue comes from in-app subscriptions through RevenueCat, or a mix of app and web billing.
  • You buy installs on Apple Search Ads, Google, TikTok or Meta and want net ROAS per campaign.
  • You need to find the onboarding step that loses users and prove a release fixed it.

Frequently asked questions

Is OnRamp a good DataFast alternative for mobile apps?

Yes, if your revenue or growth happens in a mobile app. OnRamp has native iOS, Android, React Native, Expo and Flutter SDKs, RevenueCat revenue, Apple Search Ads and Google Play install attribution, and ad spend from Google, Apple Search Ads, Meta and TikTok. DataFast is web-first, with a React Native/Expo SDK for screens and events.

Does DataFast track App Store or RevenueCat revenue?

We couldn’t find App Store, Google Play or RevenueCat revenue in DataFast’s documentation (checked September 2026). Its revenue integrations are web payment providers such as Stripe, LemonSqueezy, Polar, Paddle and Shopify. Check DataFast’s current docs, as this may change.

Which ad platforms does each tool pull spend from?

OnRamp imports daily spend from Google Ads, Apple Search Ads, Meta Ads and TikTok Ads. DataFast documents a Meta Ads integration that attributes revenue and ROAS using UTM parameters.

How does pricing compare?

Both start at around $10/mo for 10k events. DataFast Starter is $9/mo for one website with a 14-day trial. OnRamp Launch is $10/mo for one app with a 30-day trial, and Scale is from $25/mo for unlimited apps. Neither requires a card to try.

See which channels and steps make you money

Installs, revenue and ad spend on one screen. Let your coding agent set it up, then find the step that loses users.

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