What is TractionScout?

TractionScout is an AI growth assistant for product and marketing decisions. It connects supported analytics, payment, and marketing evidence to your project's objective, helps investigate where potential customers are lost, and prepares practical changes with a measurement plan for you to review.

For example, people may sign up for your trial but leave before they finish setting it up. Scout can compare those steps with subscriptions, point out where people stop, and prepare clearer instructions for that screen. It can also help with search pages that get seen but rarely clicked, or campaigns that bring visitors without enough paying customers.

The output is something you can use: an explanation with the numbers behind it, a suggested change, and prepared copy or an action to review. The examples show this with sample data.

The project can combine data about product usage, new customers, revenue, search, app stores, social accounts, ads, and operations. The sources available to a particular project depend on its connected providers and deployment. See Connecting your data sources for how to check support before setup.

What happens after you connect your data?

1. See where customers are lost. Scout compares the relevant numbers, such as visits, completed signups, and subscriptions. You can inspect where those numbers came from and how current they are.
2. Get a suggested change. Scout explains what may be getting in the way and prepares work such as page copy, content, a code change, or a campaign action. Its explanation distinguishes what the data shows from what still needs checking.
3. Review before acting. You choose whether to use the suggestion and which actions Scout may carry out. Reading data, preparing a draft, publishing, and changing a budget have separate permissions.
4. Check whether it helped. After a change, compare the relevant numbers over an appropriate period. Scout can use the result and your corrections when making later suggestions.

A completed task is not proof of more customers or revenue. Results should show the dates being compared, missing data, and whether there is enough information to draw a conclusion.

Where to begin

Choose one question that matters to your selected outcome:

• Where do trial users stop before reaching value? Inspect a defined cohort and required product steps with PostHog evidence; add qualified payment evidence only when it can be joined.
• Why do people see our Google result but skip it? Compare the relevant query and page with the actual content before changing a title or description.
• Which channels bring users who activate? Compare the same completion definition, attribution scope, and mature populations before deciding what to scale.

Connect the tools that hold the relevant data. You can begin with a public product URL to help Scout understand the business, then add private analytics and payment accounts when you are ready. A public URL alone cannot show private customer behavior or revenue.

Read measurement methodology for the meaning of counts, rates, coverage, and change. The analytics tool comparison explains how TractionScout can complement an existing source. For a search-led strategy, use SEO and AI answer visibility.

Read Getting started for onboarding, or Agent CLI and MCP for working from an external agent. The managed service guide explains where to find current access, pricing, and privacy information. TractionScout is under active development, so available capabilities and setup requirements may change before a stable release.