Consumer tech marketing. Growth that compounds on itself.
Only 34.6% of PLG app users activate on average — and the average freemium product retains just 9% of signups by month three. Hellyeah’s agents intervene at every drop-off point automatically.
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Consumer tech growth is a race against drop-off.
Consumer apps face four structural growth problems that no amount of manual marketing bandwidth can solve at the speed and scale they require.
Activation cliff after signup
Only 34.6% of PLG app users activate on average. The gap between signup and first value moment is where most consumer products bleed users — and it happens silently, before any manual intervention could reach them.
Cold-start viral problem
Viral loops only compound when triggered at the right moment for the right user. Most teams lack the tooling to identify peak-intent moments and fire referral prompts automatically — so viral growth stays theoretical.
Churn before habit formation
The average freemium product retains only 19% of signups at month one and 9% at month three. Users who don't form a habit within the first two weeks almost never return — and manual re-engagement is too slow to catch them.
CAC scaling pressure vs LTV uncertainty
Consumer UA costs are rising while freemium conversion averages just 5%. Every paid acquisition decision is made blind unless you have real-time LTV prediction by cohort, channel, and creative — most teams don't.
Four capabilities. One growth engine.
Hellyeah's agents operate across every layer of the consumer growth funnel — from paid acquisition to in-product activation to long-term retention.
Agents own your onboarding, activation nudge, and churn-prevention sequences — triggered by real product behavior, not calendar schedules. Users get the right message the moment they stall.
Autonomous acquisition agents run paid UA, referral programs, and creator partnerships end-to-end — optimizing toward activation and D30 retention, not just installs.
Agents manage paid social and search campaigns 24/7 — rotating creatives, shifting budget to cohorts with the highest predicted LTV, and cutting spend on audiences that install but never activate.
Agents build organic growth engines — category content, use-case pages, and comparison content that drives high-intent downloads and signups from search and AI-generated results.
Three steps to compounding growth.
From product analytics sync to autonomous growth loops — most consumer tech teams are live within 24 hours.
Connect your product and marketing stack
Link your analytics (Mixpanel, Amplitude, or PostHog), ad accounts, and lifecycle tools. Agents map your activation funnel, identify drop-off points, and model your ICP from real user behaviour.
Set your activation and retention targets
Define your activation milestone, freemium conversion goal, and churn thresholds. Agents treat these as operating constraints and design sequences that move users toward each goal continuously.
Agents run growth loops autonomously
Agents trigger personalized activation sequences, optimize referral and viral loops, and run retention interventions before users churn. Growth compounds without manual campaign queues.
See Hellyeah activate users autonomously.
Live demo — agents run an onboarding sequence end-to-end in minutes.
What consumer tech teams see.
Outcomes from teams using Hellyeah's agents across PLG, freemium, and subscription consumer products.
Activation rate improvement
Agents close the gap between signup and first value moment by intervening with the right message before users abandon. PLG companies with intentional activation convert 57% better than those without.
More A/B experiments shipped per quarter
Agents run continuous onboarding and messaging tests against live cohorts — promoting winners automatically without sprint cycles or manual review. Most teams run more tests in week one than they shipped in a prior quarter.
Conversion lift after core value moment
Amplitude research shows that every successful PLG product has one core value moment. Agents identify users approaching that moment and remove friction — making conversion 5–10× more likely.
Three platforms. One growth engine.
Hellyeah's consumer tech growth stack combines three platforms that work together — giving you an AI growth engine that operates your entire funnel from a single command layer.
The AI marketing agent that accepts growth goals via CLI, SDK, or console and orchestrates activation sequences, paid UA, and lifecycle automation across your entire consumer funnel.
Real-time audience intelligence and behavioral attribution. Agents use Mutation's cohort signals to predict LTV, identify high-intent users, and time interventions for maximum activation impact.
Persistent user-level memory that lets agents build context across every touchpoint — so lifecycle sequences feel personal, not automated, even at millions of users.
Consumer tech marketing automation, answered.
Everything you need to know before deploying autonomous growth agents on your consumer product.
How does Hellyeah integrate with a product-led growth motion?
Hellyeah's agents sit above your product layer and consume behavioral signals from your analytics pipeline — activation events, feature usage, session depth. The AIMA agent maps those signals to lifecycle sequences and paid UA decisions automatically, so your PLG funnel gets a marketing layer that responds in real time to what users are actually doing in your product.
Can Hellyeah automate onboarding and activation sequences?
Yes. Agents observe your activation funnel — from signup to key feature adoption — and trigger personalized sequences across email, push, and in-app channels when users stall at any step. Agents don't follow a fixed drip schedule; they respond to live product signals and adapt message timing, content, and channel based on where each user is in their activation journey.
How can AI marketing agents improve our viral coefficient?
Hellyeah's agents identify high-engagement user cohorts whose behavior predicts sharing or referral, then trigger referral prompts, social sharing nudges, and invite-flow campaigns at the optimal moment — typically after a user has hit a key value milestone. Agents continuously test prompt timing and copy variants to optimize for invite-send rate and downstream activation.
We have a freemium model. How do agents improve free-to-paid conversion?
Only 5% of freemium signups convert to paid on average. Agents improve this by identifying product-qualified leads — users exhibiting high-intent behavior — and triggering targeted upgrade sequences, feature gating nudges, and personalized upgrade offers before churn risk sets in. Agents prioritize users based on predicted LTV, not just engagement recency.
How does Hellyeah handle iOS and Android attribution privacy challenges?
Post-ATT, deterministic attribution is gone for most iOS traffic. Hellyeah's agents work with modeled attribution signals — Mutation's probabilistic first-party data layer, SKAdNetwork conversion values, and in-app event data — to route acquisition spend toward the channels and creatives that produce the highest downstream activation and retention, not just installs.
How frequently can agents run A/B tests on our onboarding and messaging?
Continuously. Agents run tests against active user cohorts in real time, observe statistical significance thresholds you define, and automatically promote winning variants — without a sprint cycle, a product ticket, or a weekly review meeting. Most teams ship 10–20× more creative and copy experiments per quarter compared to manual processes.
Can Hellyeah automate new user onboarding end-to-end?
Yes. Agents map your onboarding funnel — signup, key feature discovery, first value moment, habit formation — and own the messaging layer that moves users through each step. Agents observe drop-off patterns, generate intervention copy, test it, and iterate without human involvement. Your product team sets the activation milestones; agents drive users to them.
How is Hellyeah priced for consumer products with large free user volumes?
Hellyeah's pricing is scoped to the active user segments agents are working with, not total registered users. For freemium products with large free tiers, agents focus spend and messaging on the high-intent cohort most likely to convert or churn — so you're not paying to re-engage users who will never upgrade. Request a demo to discuss the right model for your user volume.
Solve these problems with Hellyeah
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More use cases
Explore how Hellyeah’s agents work across other growth contexts.
Ready to grow your consumer product?
Book a 20-minute demo and see how Hellyeah’s agents activate users, build viral loops, and prevent churn — autonomously, from your first week.