Jul 11, 2026
The Product Metrics Investors Check Before a Series A
A Series A is underwritten on evidence that your product retains and expands the users it acquires. Revenue opens the door, but the diligence conversation happens inside your product metrics: retention curves, activation rates, and the shape of your funnel. Growth that leaks is discounted; growth that compounds is priced.
We work with Seed to Series A founders at On the User, and the pattern repeats: the round gets harder not because revenue is too small but because the metrics underneath it do not hold up in the room. Only 4.6% of apps ever pass $10K MRR, and investors know it; what they are really asking is whether your product belongs to the group that retains. This post covers the numbers they look at and what “good” looks like when they do.
Fundraising
Series A
Metrics
Which numbers come up in every diligence conversation?
Retention curves by cohort, activation rate, funnel conversion, and churn with a reason attached. Everything else is commentary.
The first chart an investor wants is cohort retention: of the users who arrived in a given month, how many are still active one, three, six months later. What they are looking for is not a specific number but a shape: a curve that falls and then flattens means a durable core of users; a curve that decays to zero means rented growth.
Second is activation: what share of new signups reach the moment of first real value, and how fast. A strong activation rate tells an investor that acquisition spend converts into potential retainers, not just installs.
Third is the funnel itself: visitor to signup to activated to paying. Investors read the steps to find where growth is bought versus earned.
Fourth is churn, and specifically whether you can explain it. “Churn is 6% monthly” is a number. “Churn is 6%, concentrated in users who never connected a second data source, and here is the fix shipping this quarter” is competence.
What does a fundable retention story actually look like?
A flattening curve, an activation rate you can name, and at least one metric you deliberately moved with a documented before and after.
You do not need perfect numbers; you need explained numbers and at least one proof that you can move them on purpose.
The flattening cohort curve is the headline. Beneath it, the activation event named in one sentence, with the percentage of signups who reach it. Then the story investors quietly weight most: a metric you identified as broken, the change you shipped, and the measured result.
That last one is what separates founders who happened to grow from founders who can engineer growth. When Q.AI fixed the onboarding break we found in their data, activation rose 38% and onboarding completion 68%, with support tickets down 73%; that is the format the room wants, cause and effect with numbers on both sides. Q.AI went on to be acquired by Forbes.
If your curve does not flatten yet, the honest move is to show you know exactly where the leak is and what is being done, with early cohort evidence. Investors forgive a work in progress; they do not forgive a founder who has not looked.
When should you start fixing metrics before the raise?
Two quarters out. Cohort metrics move on cohort timescales, and a curve cannot be improved retroactively the month before diligence.
Retention data has a property fundraising decks cannot fake: it takes calendar time to exist. A fix shipped in March produces a visibly better six-month cohort in September. Start the month before the raise and your improvements will not have data behind them when it counts.
The practical sequence: instrument properly now (funnels, cohorts, session replays in a tool like PostHog), find the steepest leak, fix it, and let the next two quarters of cohorts prove it. That timeline is also roughly two board meetings, which means you get to narrate the improvement as it happens rather than defend a flat line.
If you are heading toward a raise and want a second set of eyes on your numbers before an investor sees them, that is exactly what the free 30-minute Growth Teardown is for. We will look at your data live and tell you the one thing we would fix first: Book your teardown.
Latest Updates
(GQ® — 02)
©2024
FAQ
01
What does a project look like?
02
How is the pricing structure?
03
What type of industries you work with?
04
What is the ROI?
05
Why should I choose OTU® over a freelancer or design agency?
06
How quickly can we get started?
Jul 11, 2026
The Product Metrics Investors Check Before a Series A
A Series A is underwritten on evidence that your product retains and expands the users it acquires. Revenue opens the door, but the diligence conversation happens inside your product metrics: retention curves, activation rates, and the shape of your funnel. Growth that leaks is discounted; growth that compounds is priced.
We work with Seed to Series A founders at On the User, and the pattern repeats: the round gets harder not because revenue is too small but because the metrics underneath it do not hold up in the room. Only 4.6% of apps ever pass $10K MRR, and investors know it; what they are really asking is whether your product belongs to the group that retains. This post covers the numbers they look at and what “good” looks like when they do.
Fundraising
Series A
Metrics
Which numbers come up in every diligence conversation?
Retention curves by cohort, activation rate, funnel conversion, and churn with a reason attached. Everything else is commentary.
The first chart an investor wants is cohort retention: of the users who arrived in a given month, how many are still active one, three, six months later. What they are looking for is not a specific number but a shape: a curve that falls and then flattens means a durable core of users; a curve that decays to zero means rented growth.
Second is activation: what share of new signups reach the moment of first real value, and how fast. A strong activation rate tells an investor that acquisition spend converts into potential retainers, not just installs.
Third is the funnel itself: visitor to signup to activated to paying. Investors read the steps to find where growth is bought versus earned.
Fourth is churn, and specifically whether you can explain it. “Churn is 6% monthly” is a number. “Churn is 6%, concentrated in users who never connected a second data source, and here is the fix shipping this quarter” is competence.
What does a fundable retention story actually look like?
A flattening curve, an activation rate you can name, and at least one metric you deliberately moved with a documented before and after.
You do not need perfect numbers; you need explained numbers and at least one proof that you can move them on purpose.
The flattening cohort curve is the headline. Beneath it, the activation event named in one sentence, with the percentage of signups who reach it. Then the story investors quietly weight most: a metric you identified as broken, the change you shipped, and the measured result.
That last one is what separates founders who happened to grow from founders who can engineer growth. When Q.AI fixed the onboarding break we found in their data, activation rose 38% and onboarding completion 68%, with support tickets down 73%; that is the format the room wants, cause and effect with numbers on both sides. Q.AI went on to be acquired by Forbes.
If your curve does not flatten yet, the honest move is to show you know exactly where the leak is and what is being done, with early cohort evidence. Investors forgive a work in progress; they do not forgive a founder who has not looked.
When should you start fixing metrics before the raise?
Two quarters out. Cohort metrics move on cohort timescales, and a curve cannot be improved retroactively the month before diligence.
Retention data has a property fundraising decks cannot fake: it takes calendar time to exist. A fix shipped in March produces a visibly better six-month cohort in September. Start the month before the raise and your improvements will not have data behind them when it counts.
The practical sequence: instrument properly now (funnels, cohorts, session replays in a tool like PostHog), find the steepest leak, fix it, and let the next two quarters of cohorts prove it. That timeline is also roughly two board meetings, which means you get to narrate the improvement as it happens rather than defend a flat line.
If you are heading toward a raise and want a second set of eyes on your numbers before an investor sees them, that is exactly what the free 30-minute Growth Teardown is for. We will look at your data live and tell you the one thing we would fix first: Book your teardown.
Latest Updates
(GQ® — 02)
©2024
FAQ
01
What does a project look like?
02
How is the pricing structure?
03
What type of industries you work with?
04
What is the ROI?
05
Why should I choose OTU® over a freelancer or design agency?
06
How quickly can we get started?
Jul 11, 2026
The Product Metrics Investors Check Before a Series A
A Series A is underwritten on evidence that your product retains and expands the users it acquires. Revenue opens the door, but the diligence conversation happens inside your product metrics: retention curves, activation rates, and the shape of your funnel. Growth that leaks is discounted; growth that compounds is priced.
We work with Seed to Series A founders at On the User, and the pattern repeats: the round gets harder not because revenue is too small but because the metrics underneath it do not hold up in the room. Only 4.6% of apps ever pass $10K MRR, and investors know it; what they are really asking is whether your product belongs to the group that retains. This post covers the numbers they look at and what “good” looks like when they do.
Fundraising
Series A
Metrics
Which numbers come up in every diligence conversation?
Retention curves by cohort, activation rate, funnel conversion, and churn with a reason attached. Everything else is commentary.
The first chart an investor wants is cohort retention: of the users who arrived in a given month, how many are still active one, three, six months later. What they are looking for is not a specific number but a shape: a curve that falls and then flattens means a durable core of users; a curve that decays to zero means rented growth.
Second is activation: what share of new signups reach the moment of first real value, and how fast. A strong activation rate tells an investor that acquisition spend converts into potential retainers, not just installs.
Third is the funnel itself: visitor to signup to activated to paying. Investors read the steps to find where growth is bought versus earned.
Fourth is churn, and specifically whether you can explain it. “Churn is 6% monthly” is a number. “Churn is 6%, concentrated in users who never connected a second data source, and here is the fix shipping this quarter” is competence.
What does a fundable retention story actually look like?
A flattening curve, an activation rate you can name, and at least one metric you deliberately moved with a documented before and after.
You do not need perfect numbers; you need explained numbers and at least one proof that you can move them on purpose.
The flattening cohort curve is the headline. Beneath it, the activation event named in one sentence, with the percentage of signups who reach it. Then the story investors quietly weight most: a metric you identified as broken, the change you shipped, and the measured result.
That last one is what separates founders who happened to grow from founders who can engineer growth. When Q.AI fixed the onboarding break we found in their data, activation rose 38% and onboarding completion 68%, with support tickets down 73%; that is the format the room wants, cause and effect with numbers on both sides. Q.AI went on to be acquired by Forbes.
If your curve does not flatten yet, the honest move is to show you know exactly where the leak is and what is being done, with early cohort evidence. Investors forgive a work in progress; they do not forgive a founder who has not looked.
When should you start fixing metrics before the raise?
Two quarters out. Cohort metrics move on cohort timescales, and a curve cannot be improved retroactively the month before diligence.
Retention data has a property fundraising decks cannot fake: it takes calendar time to exist. A fix shipped in March produces a visibly better six-month cohort in September. Start the month before the raise and your improvements will not have data behind them when it counts.
The practical sequence: instrument properly now (funnels, cohorts, session replays in a tool like PostHog), find the steepest leak, fix it, and let the next two quarters of cohorts prove it. That timeline is also roughly two board meetings, which means you get to narrate the improvement as it happens rather than defend a flat line.
If you are heading toward a raise and want a second set of eyes on your numbers before an investor sees them, that is exactly what the free 30-minute Growth Teardown is for. We will look at your data live and tell you the one thing we would fix first: Book your teardown.
Latest Updates
©2024
FAQ
What does a project look like?
How is the pricing structure?
What type of industries you work with?
What is the ROI?
Why should I choose OTU® over a freelancer or design agency?
How quickly can we get started?