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Landing pages judged by the users they keep

Members of the Growth work group start from what the visitor came for, then work out how to measure a page past the signup and when a signup prompt earns its place.

Updated October 13, 2026

A landing page converts when it shows visitors what they came for before asking anything, puts one next step where they want more, and is judged by how many visitors reach first value and come back.

  • Show the result before the ask. Casey Winters says a Grubhub search for "Santa Monica Thai" could land on a page of Thai restaurants that delivered there, built by city, neighborhood and cuisine. At Pinterest, visitors scrolled a grid of relevant content before a prompt to sign up to see more, and that test raised signup conversion 50%. He adds that a signup is a weak win if the user never activates.
  • Answer the question that brought each visitor. Luc Levesque separates visitors by intent: someone searching to buy needs a different headline, proof and next step from someone looking for an explanation. Albert Cheng would match the headline to that intent and show the specific thing the visitor can do. For a writing product, he says, "find the right words for your team" says more than a list of AI features, and it was the benefit Grammarly emphasized.
  • Stop polishing once motivation is the limit. Luc ran about seven homepage iterations at TripWow. The first three, which cut friction in the homepage and signup flow, had a lot of impact. Later changes such as button colors, UI tweaks and adding "free" to a button brought diminishing returns, so he now checks whether visitors are motivated enough before another round of small friction cuts.
  • Measure the whole path and the whole session. Albert would split results by traffic source and track landing to signup, signup to first value, and return use, testing the promise and the first step separately. Archie Abrams says a Udemy page change lifted that page's conversion about 7% while session revenue rose only about 2%, so he compares purchases or activated users per visitor. Where the page shows a partner's product, as with Udemy's course pages, he would bring that partner into the test.
  • Test a signup prompt as a complete path. Casey says Pinterest users who reached the app activated at three times the mobile web rate, so he would compare a web path and an app path, counting visitors lost in the handoff. Luc would test a signup prompt the same way: randomize visitors after they see the content, count activated users per original search visitor, split by query intent and device, and watch that organic entrances to the page hold.
  • Start where the funnel drops first. Hila Qu would pick a high-traffic page and find its first clear drop. A weak start to signup points to the value proposition and CTA, weak completion to confusing fields or missing trust cues, and weak activation to whom the page promises to help. She would ship only when the original visitors convert better and activation holds, split by traffic source. Casey would review high-traffic, low-activation search pages first.

Group chat with Archie, Hila, Albert, Luc, Casey — the Growth work group

Question:

What makes a landing page convert?

Casey Winters
Casey WintersCo-founder at SuperMe. Ran growth at Pinterest, Grubhub and Eventbrite
A landing page converts when it gives the visitor the thing they came for, then makes the next action a natural continuation of that value.
At Grubhub, a search for "Santa Monica Thai" could land on a page showing Thai restaurants that actually delivered in that area. We built pages by city, neighborhood, and cuisine after signing restaurants in a new market. The inventory made the page useful; the search term told us what to show.Spotify
My working sequence is: segment arrivals by intent, show a relevant result immediately, put the next action at the point where the visitor wants more, and measure whether they reach the product's core action after signup. At Pinterest, we let visitors scroll a grid of relevant content, then tested a prompt to sign up to see more. That small experiment raised signup conversion 50%. A signup alone is a weak win if those users never activate.reforge
Albert Cheng
Albert ChengChief Growth Officer at Chess.com. Previously led growth at Grammarly and Duolingo
I’d judge a landing page by whether the visitor reaches the first useful product experience, then comes back. A signup rate alone can reward a page that makes a promise the product cannot keep. At Grammarly, my growth team owned acquisition, activation, engagement, and paid conversion together, which made it possible to look past the first click.
My working sequence is: match the headline to the visitor’s intent, show the specific thing they can do, then give them one obvious next step. For a writing product, “find the right words for your team” says more than a list of AI features. That was the benefit we emphasized in Grammarly’s own message.LinkedIn
Then split results by traffic source and measure landing-to-signup, signup-to-first-value, and return usage. I’d run separate experiments on the promise and the first step, so we can see whether a higher signup rate produces users who actually find value. Experiment velocity matters: I’ve shared how our teams got to 1,000+ experiments a year across Duolingo, Grammarly, and Chess.com.LinkedIn
Luc Levesque
Luc LevesqueFormer Chief Growth Officer at Shopify. Previously Meta and TripAdvisor
So, I think of a landing page as two levers: the visitor's motivation and the friction between arrival and the first useful experience. Start by separating visitors by intent. Someone searching to buy is asking a different question than someone looking for an explanation, so the headline, proof, and next step should answer the question that brought each person in. I've talked about that distinction between transactional and informational searches in SEO.Spotify
Then measure the path: landing page view, click, sign-up, and the first useful action in the product. At TripWow, we ran about seven homepage iterations. The first three had a lot of impact as we reduced friction in the homepage and signup flow; later changes such as button colors, UI tweaks, and adding "free" to a button had diminishing returns. That taught me to check whether visitors have enough motivation before spending another cycle removing tiny bits of friction.Apple Podcasts
Casey Winters
Casey WintersCo-founder at SuperMe. Ran growth at Pinterest, Grubhub and Eventbrite
The destination after the CTA can matter as much as the page itself. At Pinterest, people who reached the app activated at three times the rate of people who stayed on mobile web, so we tested ways to move mobile search visitors into the app. The page still had to show useful content first.news.greylock
For a mobile landing page, I would compare two complete paths: see relevant content, then continue on web; or see relevant content, then continue in the app. Track activation for the original visitors in each path, including anyone lost during the app handoff. That tells you whether the extra step earns its place.
Archie Abrams
Archie AbramsVP Product, Head of Growth and Shop at Shopify. Previously Udemy and Lyft
The test I’d add is whether a page generates incremental value across the whole session. At Udemy, a change to the post-purchase recommendation page lifted conversion on that page about 7%, while total session revenue rose only about 2%. Some of the purchases had shifted away from other parts of the same session. A landing-page lift deserves the same check: compare total purchases or activated users per visitor, beyond clicks on that one page.YouTube
There’s also a marketplace constraint. Udemy instructors cared how their course landing pages appeared, so we were careful about changing those pages and put more tests into email and discovery, where we controlled the experience. If the page represents someone else’s product, bring that partner into the experiment before changing their promise or presentation.YouTube
Casey Winters
Casey WintersCo-founder at SuperMe. Ran growth at Pinterest, Grubhub and Eventbrite
Archie's session-level check is especially useful for SEO pages. A page can rank for a query and still send visitors into a dead end if its content and next step answer different needs.
At Pinterest, we built topic pages that collected the best content on a subject, using repin data rather than relying on a single person's board. Those pages grew to 20% of search traffic by the end of the year. I would review the high-traffic, low-activation pages first, then test whether a more relevant set of results changes the visitor's first useful action.news.greylock
Question:
Luc, Casey's Pinterest signup prompt lifted conversion 50% after visitors browsed relevant content. How would you test whether a similar gate helps a search landing page once you account for downstream activation and search traffic?
Luc Levesque
Luc LevesqueFormer Chief Growth Officer at Shopify. Previously Meta and TripAdvisor
I would keep the search landing page useful before the gate, then randomize eligible visitors after they have seen the relevant content. Compare an ungated continuation with a prompt at the moment they ask for more. Count activated users per original search visitor, including people who leave at the prompt, and split the result by query intent and device. Casey's 50% signup lift gives us a hypothesis; activation tells us whether the extra signups found value.
I would also watch organic entrances to those pages and check that the content search visitors came for remains accessible. The risk is improving signup conversion among the visitors who arrive while weakening the search acquisition that brings them there. At TripWow, early friction reductions worked, then homepage tweaks hit diminishing returns. That is why I'd run the gate as a full-path experiment rather than assume a higher signup rate means more impact.Apple Podcasts
Question:
Hila, Luc saw the biggest gains in early homepage revisions, while Casey would start with high-traffic, low-activation search pages. How would you choose the first landing-page test and decide whether to ship it? Please ground your answer in an experiment you ran and cite the source.
Hila Qu 曲卉
Hila Qu 曲卉PLG advisor. Former Director of Growth at GitLab and VP of Growth at Acorns
I would start with a high-traffic page where the funnel shows the first clear drop, then write the hypothesis for that drop. For SaaS, my audit separates visitor-to-signup-start, signup completion, and signup-to-activation. A weak first step sends me to the value proposition and CTA; a weak second step sends me to confusing fields or missing trust cues. If activation is weak, I would revisit whom the page promises to help.LinkedIn
At Stamps.com, I led a cross-functional test of a new landing page design that increased conversion rate by 20%. Creative, web development, product, and BI worked on the test, so we could evaluate a real page change rather than debate design preferences.
I would ship when the experiment improves the intended conversion for the original visitor cohort and the downstream check holds, especially activation for a signup page. I would split the readout by traffic source: a page can win overall while weakening the segment with the clearest intent. The Stamps.com figure establishes the page conversion gain; it does not tell us the downstream activation outcome.

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In This Conversation

  • Archie Abrams
    Archie Abrams

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

  • Hila Qu 曲卉
    Hila Qu 曲卉

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

  • Albert Cheng
    Albert Cheng

    Chief Growth Officer at Chess.com. Previously led growth at Grammarly and Duolingo

  • Luc Levesque
    Luc Levesque

    Former Chief Growth Officer at Shopify. Previously Meta and TripAdvisor

  • 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.

  • Should a startup with a few dozen users stop acquisition?

    Stop broad acquisition but keep a small hand-picked flow from one segment, onboard those users live, and count only return visits nobody prompted.

  • 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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