AI startup growth marketing, the first 90 days, when the category is still moving.
growth marketing for an AI startup has one problem no playbook from 2022 covers: the customer does not yet know what your product is called. the model is not the moat. distribution is. here is the 90 day version, for consumer AI apps, US founders first.
The one problem 2022 playbooks do not cover
every startup growth playbook assumes the customer can name what they want. an AI startup usually cannot count on that. nobody searches “AI study mentor”. they search “how do i finish my homework faster”. nobody searches “AI companion”. they search for the feeling.
that single fact rewrites the method. search intent barely exists yet, so the channels that work are the ones where you can put the product in front of someone who was not looking for it: short form video, Reddit threads where the problem is already being discussed, and the founder’s own face. the creative has to teach before it sells. the landing page has to show the thing working, not list features.
at ZuAI the entire breakthrough was a thumbnail that said “under 18”. kids under 18 want content made for people under 18. that video did 2.1 million views and 120,000 users, and it is still the best performing ad in that account three years later. it worked because it taught the audience what the product was for in the first second.
The model is not the moat
a competitor with the same model can ship next week. often the same weekend. that is not a reason to panic; it is a reason to stop treating the model as the product.
what is defensible: distribution and retention. the channel you own, the creative engine that keeps producing winners, the community that recommends you, and the onboarding that gives a person a win before it asks for anything. an AI startup with an average model and a working distribution loop beats a startup with a better model and no users every time. i have watched it happen from both sides.
this is why AI startup growth marketing is a weekly loop, not a quarterly plan. the category moves monthly. the creative that worked in march is dead by may. analyze, execute, iterate, repeat, every week, until the number moves. the AI app growth marketer page lays out the whole loop.
Retention decides whether any of this is worth doing
before channels, before creative, before budget: does anyone come back?
a teen investing app i worked on scaled to 10,000 users on good creative and a good funnel. day 7 retention was 5 percent. we had a great product nobody returned to, which is the single worst position a consumer app can be in, because everything looks fine until it does not. we rebuilt the product into ZuAI, and only then did growth work.
so the honest first step of AI startup growth marketing is a retention read. under 20 percent day 7, spend on the product, not on acquisition. over 20 percent, you have something worth pouring users into, and the free calculators include one built to tell you which side of that line you are on.
The 90 day plan i actually run
days 1 to 30: production. the creative batch, the landing pages, the posting cadence, the subreddit map. nothing is live yet and nothing is guessed. this is the month founders want to skip and it is the month that decides the next two.
days 31 to 60: ship and baseline. everything goes live. organic first, because it is free research: what wins there becomes the paid ad. then paid runs until we know your real CAC, not the one in the deck. at ZuAI, 30 videos a month found two winners; the rest died on schedule.
days 61 to 90: drive the number down. one job from here. every sunday the new batch ships. every monday the winners move into the scaling campaign and everything else dies. ugly ads beat polished ads, and i have three years of spend saying so.
every friday, in writing: what we tested, what won, what died, what changes next week. raw numbers from the account.
Who this is for, and who it is not
consumer AI apps, post launch, with a product people come back to and a budget of about $5,000 a month or more for acquisition. US founders first, Europe and India too, all remote, inside your accounts.
not B2B AI. not enterprise SaaS with a six month sales cycle. not pre-product. those are real disciplines and they are not mine, and i will say so on the free breakdown call rather than take the engagement. the services page has the four engines and the honest fit in full.
What founders ask
How is AI startup growth marketing different from regular startup growth?
Three ways. The buyer is still learning what the category is, so creative has to teach before it sells. The category moves monthly, so the loop is weekly, not quarterly. And the model is not the moat, a competitor ships the same one next week, so distribution and retention are the only defensible things.
What should an AI startup spend on growth marketing in the first 90 days?
Less than you think on ads, more than you think on creative. The first month is production, not spend. The second month runs paid only to find your real baseline CAC. Under about $5,000 a month in acquisition budget, spend it on the product and retention instead.
Should an AI startup hire a growth marketer before product-market fit?
Measure day 7 retention first. Under 20 percent, no. Acquisition pours users into a product that loses them, and it makes the retention number harder to read. Over 20 percent, a growth operator is the difference between a working product and a growing one.
Which channels work for AI startups right now?
For consumer AI apps: short form video at volume, Reddit done without getting banned, founder-led content, and paid last, scaling only what organic proved. For B2B AI, a different craft that I do not run.
Is this page for B2B AI startups too?
No. Consumer AI apps only, where a person decides in minutes. B2B AI growth runs on pipeline, sales cycles and enterprise procurement. It is a real discipline and it is not mine.
Tell me the growth problem.
one operator, not an agency. i read every one of these myself and reply from my own inbox.
Bring one real growth problem. Leave with the fix.
the breakdown call is free. no pitch deck, no agency handoff.
this page is part of the AI app growth marketer cluster. also: Consumer app growth marketer for B2C founders, AI app marketing consultant, agency, or operator. the full list of what i run is on the services page.