Every capability in Traction Keeper supports the same job: helping you gather better evidence, preserve what you learn, and make clearer decisions about where your marketing effort belongs.
This page shows the tools that make that process possible.
When you open Traction Keeper, Mission Control reads the current state of your workspace and surfaces the one thing that deserves your attention now.
What you see:
Mission Control doesn’t make the decision for you. It gives you a clear starting point based on the work already in your system.
The logic is rule-based, not AI.
This isn’t a persona template. It’s a living record of what you currently know, believe, and still need to learn about the people your product is for.
Capture the observations that could change which channels you test or how you design those tests:
As your understanding changes, the profile changes with it. The goal is to keep customer evidence close enough to influence the next experiment.
"Get more users" isn’t a useful objective for designing experiments.
The Marketing Objective workspace gives your current growth goal the specificity experiments need. A useful objective names which segment you’re trying to reach, which outcome you need from reaching them, and how you’d measure that outcome.
A specific objective makes it easier to design useful experiments because you can ask whether each one actually tests something relevant to the goal. It also keeps the learning honest: the result either moves you toward that objective or it doesn’t.
The objective changes when the goal shifts. It isn’t a planning artifact. It’s a working document connected to the experiments running underneath it.
You need enough options to explore without turning every option into work.
Traction Keeper gives you a library of 20+ marketing channels to consider, then a Brainstorm Workspace where you can explore channel-specific ideas before committing to formal experiments.
This matters because brainstorming and prioritizing are different jobs. Mixing them means every idea starts feeling like an obligation before you’ve had a chance to evaluate it.
Ideas in the Brainstorm Workspace are inexpensive. They become experiments only when you decide they’re ready to be tested.
Exploration creates options. The Bullseye determines how much attention each one has earned.
The Strategy Map visualizes your channels on three concentric rings. Each ring represents a level of evidence-based commitment.
Each channel also shows an intelligence panel: its health tier, experiment count, success rate, and confidence level based on accumulated results.
You decide when a channel moves from one ring to another. Evidence informs the decision. Traction Keeper never moves a channel on its own. You review what the experiments show and decide what it means.
A ring position is still a hypothesis about a channel. Experiments are how that hypothesis earns stronger evidence.
A Traction Test isn’t a campaign. It’s a structured experiment with a hypothesis recorded before you begin.
When you create a Traction Test, you define:
During the test, you track completed actions and record metrics manually as results come in. Traction Keeper doesn’t connect to analytics or ad platforms today.
The Experiment Journal records every significant event chronologically: status changes, metric entries, and notes. When you finish a test, the original hypothesis is still there, alongside what you observed. The comparison is where the learning happens.
Running the test creates evidence. Closing the test turns that evidence into learning.
Finishing the work gives you a result.
It doesn’t automatically give you the lesson.
When a Traction Test closes, Traction Keeper asks you to classify what happened and preserve what you learned before moving on.
You classify the result:
After classification, you record lessons: what worked, what didn’t, and whether you’d run this experiment again. All of this stays permanently attached to the experiment, connected to the original hypothesis and the recorded results.
None of this is classified or interpreted for you. The result is yours to evaluate. The structure makes sure you capture that evaluation before moving on.
Every channel has its own history.
The Channel Workspace brings together the experiments you’ve run on that channel, their results, and the current performance signals attached to it.
You can see:
That means the next decision begins with context instead of memory.
Once that history exists, the next question is whether your decisions can be traced back to it.
Moving a channel on the Bullseye is a strategic decision.
The evidence you used to make that decision should still be available months later.
Traction Keeper preserves the experiments, results, classifications, and lessons behind your channel history so you can return to the record instead of reconstructing the decision from memory.
The Insights learning feed gives you a chronological view of completed experiments and what you concluded at the time.
That matters because memory changes under pressure. The evidence you recorded doesn’t.
One decision preserves a lesson. A history of decisions begins to reveal a pattern.
One experiment gives you a result.
Several experiments begin to reveal patterns.
Insights gives you the cross-experiment view:
This is where individual experiments begin to improve later decisions. A failed test can rule out an assumption. A repeated signal can strengthen a channel. Patterns that were invisible inside one experiment become easier to see across many.
The record persists. It gets more useful the more you add to it.
The longer you use the process, the less often your next decision has to begin from zero.
Traction Keeper is in Private Beta. We’re inviting founders who are actively testing marketing channels and want a more disciplined way to preserve what they learn.
Bring real experiments, real uncertainty, and real decisions. Your experience will help us understand where the system creates clarity and where it still creates friction.
Share your email to request access.