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What to do in the two weeks after first users never come back

Members of the Growth work group debate whether a team with a few dozen users should stop acquisition, and how to tell an onboarding problem from a use case nobody needs.

Updated October 13, 2026

Stop broad acquisition but keep a small, hand-picked flow of users from one segment, watch their first sessions to see where nothing valuable happened, and count only the return visits nobody prompted. If even hand-held users don't come back on their own, the use case is the problem.

  • Check whether the business works at its retention. Gustaf Alströmer would put a number on retention before deciding the product is broken, a point he made with a co-presenter at a YC retreat. At 1% retention, he says, multiply CAC by 100 and see whether the business still works. Some products with low repeat use do. Most don't, and the math shows quickly which kind you have.
  • Look for a first session where nothing happened. Gustaf gives an Uber example: new drivers who sat outside their house and got no requests didn't come back. When a supply-dependent product's first session delivers nothing, he would fix operations before the UI. He would also never log users out, and would audit the second visit as closely as the first. Brian Balfour adds that early AI products draw people who are only experimenting, so their churn can look like an onboarding failure when the product never had a lasting use for them.
  • Check early wins against a year-long holdout. Archie Abrams says Shopify experiments that lifted first sales showed zero incremental GMV a year later, so he would measure early-retention wins with long-term holdouts. He also warns that making the step above a retaining segment harder raises activation rates without more people succeeding, and would skip wizards and carousels that set users up without teaching the product.
  • With a few dozen users, keep a hand-picked trickle. Gustaf would stop launches, Product Hunt and paid ads but keep a hand-picked trickle of maybe 10 to 20 users a week from one segment. Over two weeks, the founders would call every one-time user, onboard each new one live on a screen share, and ship fixes for the two or three most common stalls. Casey Winters agrees that his own "stop all acquisition" is too strong for a team with 50 users.
  • Prompt the second session and wait for the third. Casey would let a founder text a user back for a second session, since that shows whether the product delivers once someone reaches the key action. The third session has to come with no prompt, on the use case's natural cycle. Users who return only when the founder asks mean a concierge service, and the few who come back alone mark the segment to narrow onboarding and positioning around.
  • Don't treat all messages as reminders. Hila Qu pushes back a little on leaving email and push for last. She agrees that pinging someone back to the same broken experience does nothing, but says messages that walk a new user to the key action are part of activation. She would also keep a small holdout on the biggest activation wins to confirm, a few months later, that the extra users stayed.

Group chat with Archie, Gustaf, Hila, Brian, Casey — the Growth work group

Question:

Your first users try the product once and don't come back. What do you do next?

Casey Winters
Casey WintersCo-founder at SuperMe. Ran growth at Pinterest, Grubhub and Eventbrite
Stop all acquisition work first. One-and-done users mean the retention curve is heading to zero, and that is a product problem. More traffic just burns more of your early audience.
Here's the order I'd work in:
  1. Define the key action and its natural frequency. At Grubhub the only way to get value was ordering food that actually showed up and tasted good, so we measured orders. If your use case naturally happens quarterly, "never came back" after two weeks might be normal, and your cohort window is wrong.YouTube
  2. Find out whether that first session delivered the key action. Many "one and done" users never got value at all. That points to an activation and friction problem, and removing friction usually beats adding features.
  3. Segment the cohort and look for anyone whose curve flattens. At Grubhub, mobile users retained at double the rate of web users, so we gave every user $10 off their first mobile order. That moved people into the segment that already retained.caseyaccidental
  4. If no segment flattens, go talk to the people who left. Ask what they used before your product and what they went back to. That conversation tells you whether the value proposition is wrong or the experience is.
  5. Leave email and push for last. At Pinterest we learned it's easy to get someone back monthly with a notification, and a click on an image in an email once a month says nothing about whether they formed a habit. If you add reminders before the core value works, your retention numbers will look better while the product stays broken.YouTube
Brian Balfour
Brian BalfourFounder/CEO at Reforge. Previously VP Growth at HubSpot
Before touching onboarding, figure out which of two problems you have. Retention mostly comes down to the use case your product serves, and after that to how well you onboard people into that use case. The fixes for each are very different, so here is the order I'd work in:
  1. Find the natural frequency of the use case. If the problem only comes up a few times a year, like taxes or a job search, "once and gone" may be normal usage. Measure retention on that cycle. Over time, the strong companies add product between those transactions, the way LinkedIn added reviews and content on top of profiles.YouTube
  2. If the use case should repeat but people still don't come back, check who those first users are. Early AI products in particular attract people who are just experimenting. Their churn looks like an onboarding failure, but the real issue is that the product never had a lasting use for them.
  3. Talk to the people who left, then compare what they say with your cohort data. At the retention panel, the fix came from combining both sources: different segments got stuck at different setup steps and needed different education.YouTube
  4. Add good friction. Teams strip every step out of signup and then wonder why the first session leaves no impression. Ask for the setup info you need to deliver the experience that makes someone return. Horizontal products like Loom or Notion need this most, because a first-time user can't tell what the product is for. Steer them to one use case.
  5. Fix activation before you work on resurrection emails. A reminder only brings someone back to the same experience that failed to hold them the first time.
Casey Winters
Casey WintersCo-founder at SuperMe. Ran growth at Pinterest, Grubhub and Eventbrite
Brian's "good friction" and my "remove friction" point fit together once you sort steps by whether they get the user to value faster. At Pinterest we doubled activation by doing both at once. We removed advanced features from the new user experience, and we added a step asking new users which topics they cared about so we could customize their first content recommendations. The topic picker made signup longer, but it was the step that made the first feed worth coming back to.
So audit every onboarding step with one question: does this step make the first key action more likely or more valuable? Keep the steps that do, even if they add time, and cut the ones that don't. Feature tours, profile completion, and settings usually get cut.
We also built activation flows specific to each channel. Someone arriving from a Google image search on a recipe expects something different from someone invited by a friend, so we stopped sending them through one generic flow. If your first users came from two or three channels, split your cohort by channel before you decide the product is failing. You may find one channel retains and the other brings in people who were only experimenting, which is the situation Brian described.
Archie Abrams
Archie AbramsVP Product, Head of Growth and Shop at Shopify. Previously Udemy and Lyft
Casey's step 3 has a trap in it. Once you find the segment that retains, the easiest way to make retention look better is to make the step above it harder. Add friction to signup or narrow targeting, and activation goes up right away, but no additional people are succeeding. We got very nervous about teams at Shopify optimizing local conversion rates for exactly this reasonApple Podcasts. Judge every fix by total retained users. That's also how I'd tell Brian's good friction apart from the bad kind: setup questions that personalize the first session should raise the absolute number of people who stick, while friction added to filter people out only raises the rate.
After that, here's what I'd prioritize:
  1. Use those setup answers right away. Build trust and give people the right amount of personalized guidance toward the first real outcome. It sounds obvious, but nailing those onboarding flows at Shopify has had more impact than almost anything else I've seen, and I'm still surprised by itYouTube.
  2. Skip shortcuts that set people up without having them use the actual product. Wizards and onboarding carousels look great on day-one metrics. Tobi and Glenn pushed back on them for us because users finish the wizard without ever learning the tool they'll have to use on day twoYouTube.
  3. Measure with long-term holdouts. We ran experiments that lifted first sales on Shopify, and a year later that cohort showed zero incremental GMV. Expect most early-retention wins to shrink the same way. Occasionally a test turns up a pocket of users who go on to be extremely valuable, and those users tell you who to build forYouTube.
Hila Qu 曲卉
Hila Qu 曲卉PLG advisor. Former Director of Growth at GitLab and VP of Growth at Acorns
I'd push back a little on "leave email and push for last." Casey and Brian are right about resurrection emails: pinging someone back to the same broken experience does nothing. But lifecycle messaging that walks a new user to the key action is part of activation. At Acorns, I rebuilt the new-user nurture flow around one key action, and it tripled key feature adoption in the first 90 days and lifted 3-month retention by 10%. Those emails and pushes were onboarding.
Two more things I'd add to the playbook:
📈 Turn "key action" into a number the team can hit. My formula is "user does X action Y times in the first Z days," like Slack's 2,000 messages in 30 days. Pull the returners and the one-and-dones and look for the threshold that separates them. A team can't run experiments against a target like "get value." It can run them against a target like "3 projects in 7 days."
⏱ Use that threshold as your leading indicator. Retention moves slowly. If every test needs 3 months to read 3-month retention, an early team gets maybe four shots a year. Aha-moment completion gives you a read within a week. Archie's holdout point is the check on this: the proxy only works if it keeps predicting retention. Keep a small holdout on your biggest activation wins and confirm a few months later that the extra people who hit the threshold actually stayed. If they didn't, your threshold is wrong and you redefine it.
When the key action itself feels heavy, change how you frame it. At Acorns we worked with Shlomo Benartzi (behavioral economist) on a test that framed saving $150 a month as $5 a day, and the income gap in savings behavior disappeared. The product stayed the same, and the action got easier to say yes to.
On segmentation, I'd also check your positioning. Teams that chase a big TAM write messaging for everyone, so the first users show up with mismatched expectations. If returners cluster in one segment, rewrite the landing page for that segment too.
Gustaf Alströmer
Gustaf AlströmerGeneral Partner at Y Combinator. Previously led growth at Airbnb
Casey and Brian have the order right. One step comes before both of their lists: put a number on how bad your retention actually is before you decide the product is broken. David Lieb and I made this point in our retention talk at the YC W24 retreat. Revenue, CAC and LTV all depend on baseline retention, and the right retention number depends on the business. Even at 1% retention, multiply your CAC by 100x and check whether a business still works at that cost. Some products with low repeat usage still work as businesses. Most don't, and that math tells you quickly which kind you have.
On the first session, Ed Baker described a good example on our Greylock panel. Uber saw that new drivers who sat outside their house and got no requests didn't come back. The fix was to make the first experience better on purpose, for example by pointing drivers to where requests actually come in, which is only a block away. One-and-done users in a marketplace or any product that depends on supply often had a first session where nothing happened. In that case, fix the operations before you touch the UI.Spotify
Also check for the cheap self-inflicted losses. My standing advice is to never log users out. Automatically logging people out after a few days or months does nothing for growth, and it adds friction to exactly the return visit you're trying to get. Casey's onboarding audit covers the first session. Do the same audit for the second visit, because that is where people actually decide whether to come back.Apple Podcasts
Question:
Casey's first step is to stop all acquisition, because more traffic only burns the early audience while the product leaks. Many YC-stage teams have only 30 to 200 first users, which is too few to segment cohorts or find a curve that flattens. In that situation, would you still freeze acquisition, or keep a small, hand-picked trickle of users so there is enough signal to learn from? What exactly would you tell a founder to do in their first two weeks?
Gustaf Alströmer
Gustaf AlströmerGeneral Partner at Y Combinator. Previously led growth at Airbnb
With 30 to 200 users I wouldn't freeze acquisition. Casey's rule fits when paid traffic is burning a real audience. At this stage there's no audience to burn yet, and a full freeze leaves the founder with nothing to learn from. What I'd stop is broad acquisition: launches, Product Hunt, paid ads, anything that brings in strangers you can't talk to. Replace it with a hand-picked trickle of maybe 10 to 20 new users a week from the one segment you think the product is for. Each of those users should be someone the founders can reach personally.
Two weeks with this few users is too short to read a cohort curve, so treat it as a qualitative sprint:
  1. Days 1 to 3: call every user who tried the product once, and get on video with as many as will agree. Ask what they expected, what happened in the first session, and what they went back to using instead.
  2. Days 3 to 7: have the founders onboard each new user live, screen-shared. Watch where they stall. This is the startup version of Ed Baker's Uber driver sitting outside his house with no requests. You're looking for the moment where nothing valuable happened.Spotify
  3. Week 2: ship the fixes for the two or three stalls that showed up most often. Then have the founder personally bring each new user back for a second session, by text or a call. If even hand-held users don't return for a third session, Brian's use-case question is the real problem, and onboarding fixes won't solve it.
I learned this the hard way at Heysan. We built a mobile messaging product that we couldn't grow, and I spent a lot of time trying to learn growth tactics. With so few users, a tactic can't tell you whether people want the product.Apple Podcasts
Question:
Casey, Gustaf would keep a trickle of 10 to 20 hand-picked users a week from one target segment, with founders onboarding each person live, and he'd stop only launches, Product Hunt and paid ads. Does that fit your 'stop all acquisition' rule, or would you still pause new users entirely? Also, after a few weeks of this, what result would tell you onboarding fixes are done and the use case itself is wrong?
Casey Winters
Casey WintersCo-founder at SuperMe. Ran growth at Pinterest, Grubhub and Eventbrite
Gustaf is right to correct me. "Stop all acquisition" is too strong for a team with 50 users. I'd stop scaled acquisition and keep a hand-picked trickle, which is what he laid out.
One caution on his week-two step. A founder texting someone to come back for a second session works the same way an email or push does at Pinterest. It can get people to return without telling you whether they formed a habit.YouTube So split what you measure:
  1. The second session can be prompted. Its job is to show whether the product delivers value once someone actually reaches the key action.
  2. The third session has to happen with no prompt. Stop all founder outreach to that user and see if they come back on the natural frequency of the use case. That unprompted return is the closest thing to a flattening curve you'll get with 20 users.
Track both per user in the spreadsheet, along with Hila's threshold. If people only return when the founder asks, you have a concierge service, and scaling acquisition will only show you that problem with more users. If a few come back on their own, they come from the segment you narrow onboarding and positioning around before turning acquisition back on.

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Growth leaders from Shopify, Airbnb, Pinterest & 5 more

by Lenny Rachitsky

In This Conversation

  • Archie Abrams
    Archie Abrams

    VP Product, Head of Growth and Shop at Shopify. Previously Udemy and Lyft

  • Gustaf Alströmer
    Gustaf Alströmer

    General Partner at Y Combinator. Previously led growth at Airbnb

  • Hila Qu 曲卉
    Hila Qu 曲卉

    PLG advisor. Former Director of Growth at GitLab and VP of Growth at Acorns

  • Brian Balfour
    Brian Balfour

    Founder/CEO at Reforge. Previously VP Growth at HubSpot

  • Casey Winters
    Casey Winters

    Co-founder at SuperMe. Ran growth at Pinterest, Grubhub and Eventbrite

See all

Frequently Asked Questions

  • How do you choose a startup's first growth channel?

    Pick a channel the product can feed, test it with one narrow segment on a set budget and date, and judge it by how many users reach value and come back.

  • What should a founder check first when growth stalls?

    That the data is right, then cohort retention split by segment and channel. If curves trend toward zero in every slice, fix the product before spending more on acquisition.

  • How do you tell a growth problem from a product problem?

    Bring in a small batch of users from one clean channel and read their cohorts. If they activate and return but there aren't many, it's distribution. If they leave within the first week, product owns the fix.

  • What moves activation in a new user's first few days?

    Find where users drop, then match the lever: pre-answer setup for users who stall, make the first action an earned win for users who feel nothing, and bring back users who got value.

  • Who should own acquisition and retention, growth or marketing?

    Most members would split near signup, with marketing on channels and the promise and growth on the path to first value. The line still has to follow the growth model, and both teams judge channels by the cohorts that stay.

  • Should a growth team report to product or marketing?

    Wherever the biggest lever is. For most product-led companies that is product, next to core rather than inside it, and once paid spend matters too, one growth leader owns acquisition and activation.

  • Which lifecycle emails should a team build first?

    The ones aimed at the steepest drop on the retention curve, usually the activation email. Depth and renewal emails come next, and win-back to fully churned users comes last.

  • How do you bring back signups who went quiet?

    Watch a few try the next step and fix where they stall, then test the message with and without the fix against a holdout, and count retained use rather than opens.

  • When should a product-led company add sales?

    A founder can start working accounts where usage is spreading and retaining. A sales team follows once deals need security reviews and procurement that self-serve can't handle.

  • Which self-serve accounts should a sales rep call?

    Ones big enough to pay for a rep's time, with use spreading inside the company and a need self-serve can't meet. Hold some flagged accounts back to check that sales added value.

  • Which early action should count as activation?

    Use two measures: an early action onboarding can move as the team's operating metric, and a later repeat action to check that those users came back. Randomize the onboarding change so motivated users don't skew the read.

  • What makes a good north star metric for an early product?

    A retention measure built from how often the problem occurs, the action that solves it and the user it describes, with activation as an input. Drop it if the team can raise it without users getting more value.

  • Should a new marketplace build supply or demand first?

    Whichever side gets a buyer to a completed transaction while giving the supplier a reason to stay. Start in one narrow market and track matches, supplier earnings and repeat buyers.

  • When can a marketplace copy its first city?

    When service holds after subsidies come down, a new manager can run the launch playbook without the founders, and the team knows whether the channel behind market one's demand starts warm or cold in the next market.

  • How should you test a landing page?

    Show visitors what they searched for before the ask, start with the page's first clear funnel drop, and count activated users per visitor alongside signups.

  • How does a B2B startup find its first paying customers?

    Have founders sell by hand to one narrow buyer, starting with warm intros and asking for payment early. Then check who actually paid, and at what price, before choosing a channel to scale.

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