Startup Traction: What to Measure Before Applying to an Accelerator

Before a product exists, useful evidence may concern the problem and the team’s ability to reach the intended buyer. Once people can try the product, measure whether they complete the important workflow and return. With paying customers, examine commercial quality and retention alongside acquisition. These categories can overlap; a company does not move cleanly through one universal sequence.

Techstars’ application preview asks founders to distinguish traction from revenue and funding. Follow that separation in your own evidence file. Raising capital is not the same as customers using the product, and a list of meetings is not the same as a sales process producing purchases.

Choose a few measures whose interpretation would change a decision. A hardware team might track whether a prototype passes a defined test and whether a buyer agrees to a paid evaluation. A workflow software team might track successful activation and repeat use. Explain why the chosen evidence matters to the business model.

For each metric, write the population, action, time window and exclusions. “Active users” might mean someone who signed in, completed a workflow or collaborated with another person. Those measures answer different questions. Define the value-bearing action before comparing one week with another.

Amplitude’s retention documentation illustrates the importance of specifying a starting event and a return event. In your own report, choose events that match the product’s normal usage pattern. A daily-use communication tool and an occasional compliance workflow should not be judged by an identical return interval.

Keep cohort maturity consistent. If newer users have not had enough time to reach a four-week checkpoint, do not compare them directly with users who have. Record data gaps and changes in instrumentation. An apparent improvement caused by a tracking change needs a different explanation from an improvement in user behavior.

Stripe’s MRR guide describes monthly recurring revenue as a recurring subscription measure. A useful practical rule is to keep recurring subscriptions separate from one-time setup fees and uncommitted pipeline. Explain your accounting and metric conventions consistently when sharing them.

Consider a hypothetical service with twelve customers each paying fifty dollars per month. Their recurring monthly amount is six hundred dollars. A separate fifteen-hundred-dollar setup project should not be added to that figure as if it recurs every month. Report the project separately so a reader can understand the composition of revenue.

Likewise, a letter of intent, a paid pilot and a renewed contract carry different information. Describe the conditions and next steps behind each. A pilot can establish willingness to try a product while leaving pricing, deployment and long-term use unresolved. Avoid labeling the entire sales pipeline as customers.

The following example is fictional and is not an accelerator admission benchmark. Twenty accounts complete an onboarding workflow in a defined week. Eight of those same accounts complete the chosen return event in the next measured week. Under that explicitly stated method, the observed return proportion is forty percent. The small sample and short period should remain visible.

The next question is why twelve did not return. Contact a sample, inspect where the workflow stopped and compare the intended use case with observed behavior. You might discover that a needed integration was missing, that the product attracted the wrong segment or that the task is less frequent than assumed. Each finding suggests a different experiment.

Use a simple sequence in an accelerator application: starting condition, experiment, observation, decision and next milestone. Add the absolute counts and reporting dates. If several experiments were run at once, avoid claiming that one change caused the result unless you have evidence that separates the effects.

Keep the working records accessible to the team: customer notes, relevant product events, payment records and dated release notes. Share only the appropriate level of detail externally and respect customer confidentiality. A concise report supported by traceable evidence is more useful than a dashboard full of disconnected numbers.

There is no universal traction number that makes every startup ready for every accelerator. Compare your evidence with the specific program’s stage and focus. The aim is to explain what you know, what you can execute and which uncertainty the program could help you resolve.

Explore NextUnicorn Accelerator and check the current program details before applying.