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DataFast

DataFast

Marketing
17
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PRICING:
Freemium

about

DataFast is a revenue-focused web analytics tool that shows which marketing channels actually drive money. Track visitors from first click to customer with goals, funnels, and journey timelines, plus real-time dashboards for pageviews and conversions. Connect payment events (Stripe or your own provider via the Payments API), identify users, and watch live visitor intelligence to spot high-intent visits. Built for founders who want clear attribution and fast answers without heavy BI at a glance.

Features

1

Goals, funnels, and journeys

Define custom goals like signups, demos, or downloads and visualize the full path visitors take to convert. Multi-step funnels show where people drop off, while journey timelines reveal the exact sequence of pages and events from first click to goal. Filter by channel, campaign, or landing page to compare paths that lead to quality conversions. This makes optimization practical: pinpoint friction, test changes, and verify uplift in real time instead of guessing from traffic spikes.

2

Revenue tracking with Payments API

Tie marketing to money by sending payment events into DataFast. Use built-in connectors for common stacks or the Payments API to attribute revenue from any provider. Track currency, map products or plans, and link purchases to the sessions and channels that produced them. Exclude noisy paths and keep reporting consistent across campaigns. This turns analytics into a growth tool: compare channels by revenue, not clicks, and optimize spend with evidence when offers change.

3

Live visitor intelligence

See visitors in real time and spot who is likely to buy. Live views show active sessions, referrers, devices, pages, and goal progress so you can react quickly—reach out, trigger an in-app message, or investigate a broken funnel. Use the API to act instantly on high-intent behavior, like tagging a lead, sending a Slack alert, or starting an email sequence. During launches and paid campaigns, this ‘who’s here right now’ signal helps you debug acquisition and capture demand before it disappears.

4

User identification and segmentation

Identify visitors when they sign up or log in and keep their journey connected across devices and sessions. User identification enables retention-style questions—who came back, who converted later, and which cohorts pay more over time. Segment by channel, campaign, path, or goal completion to compare behavior quality, not just volume. This keeps reporting stable when cookie attribution is noisy and helps you focus on sources that create repeat customers.

5

Fast setup, docs, and governance

Get started quickly with a lightweight snippet and clear docs. Track pageviews, goals, funnels, journeys, and payments, then iterate with a changelog-driven product. Connect one or more sites in a single account and keep settings like currency and exclusions in sync. Terms are straightforward: start with a free trial, then subscribe for ongoing tracking. For founders, the focus is speed—fewer dashboards, clearer answers, and fast setup that doesn’t require a data warehouse.

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Recomended For

Indie hackers, startups, and small teams who care about revenue attribution more than vanity metrics. Ideal for SaaS, creators, and ecommerce sites running ads, newsletters, affiliates, or content SEO that need to know what actually pays. Great for teams using Stripe or custom payment providers, and for marketers who want actionable funnels and journeys without a BI engineer. Also useful for launches when real-time visitors and goal progress help you react quickly.

What it solved

Replaces fragmented tools—web analytics plus separate revenue spreadsheets—with one system that links channels to customers. It solves unclear attribution by connecting goals, funnels, journeys, and payments to sessions, and reduces guesswork with real-time dashboards and live visitor views. With user identification and a flexible Payments API, teams can measure what drives revenue, catch funnel issues early, and optimize spend with confidence over time.

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