AI User Engagement — In-Product AI That Retains Users
Strides Build improves user engagement with in-product AI that proactively guides users, answers questions, and executes tasks. More engaged users. Less churn.
The most engaged users in any SaaS product are the ones who know how to get full value. Strides Build gives every user a personal AI guide — answering their specific questions, executing their workflows, and getting them to value on every session.
By the Numbers
- 2.8× — Higher engagement for AI-assisted users
- 60% — Reduction in early churn
- 40% — Reduction in time-to-value
- 1 tag — Of code to deploy
In-Product AI That Makes Users More Engaged.
Activation guidance, workflow execution, and proactive re-engagement — all from one AI in your product.
One-Script-Tag Install
Paste one line of code and walk away. Strides auto-discovers every page, route, and API endpoint in your app without any configuration.
Autonomous Actions
The AI doesn't just answer questions — it executes tasks. Draft an invoice, reassign a ticket, send a report — using your real APIs, in your real product.
100% White-Labeled
Your branding. Your product name. Your colors. Strides is permanently invisible. No "powered by" badge, no Strides mention anywhere in the UI.
Strict Tenant Isolation
Built for multi-tenant SaaS from day one. Every user sees only their own data. Zero cross-tenant bleed at the architecture level.
Live User Context
Strides queries your real APIs for each user's actual data in real time. No static snapshots. No generic answers. The AI knows exactly what's in their account right now.
Streaming Responses
Responses stream back via SSE the moment generation starts. Sub-200ms TTFB globally via our edge CDN. No loading spinners. No waiting.
User Engagement Comes From Value — AI Delivers Value on Every Session
User engagement metrics — DAU/MAU ratio, session depth, feature adoption — are all downstream of one thing: users getting value from the product. Users who get value log in again. Users who don't churn. The AI's contribution to engagement is simple: it removes every obstacle between the user and the value they're looking for in each session.
A new user who doesn't know where to start gets guided by AI to the key workflow they need. A returning user with a complex question gets it answered in context. A power user who wants to run a complex workflow without navigating through multiple screens gets it done through natural language. Each of these interactions produces engagement and value that static product design can't match.
SaaS products that deploy Strides Build consistently see improvement in two engagement metrics that matter most: return visit rate (users who interact with the AI come back more often) and feature adoption depth (AI-assisted users discover and use more features than unassisted users).
What Customers Say
We shipped an AI layer to 12,000 users in one afternoon. Our CTO didn't write a single line of AI code. The script tag did everything.
Marcus Webb, CEO at Fillout — 12,000 users with AI on day one
Users stopped emailing support. They just ask the AI and it does it. Our ticket volume dropped 60% in the first month.
Priya Nair, Head of Product at Plane — Support ticket volume down 60%
Frequently Asked Questions
Does AI user engagement work better for new users or power users?
Both benefit, but differently. New users get activation help — guidance to their first value moment. Power users get efficiency — the ability to do complex things faster through natural language. Both groups show measurable engagement improvements.
Can the AI proactively reach out to disengaged users?
Yes. You configure engagement triggers — "if a user hasn't completed the onboarding checklist after 3 days, send an AI check-in message." Strides handles the message, the context, and the conversation that follows.
How does Strides measure AI's impact on user engagement?
Strides provides an analytics dashboard showing AI interaction rates, session depth for AI-engaged vs. non-AI cohorts, feature adoption rates, and support deflection. The engagement impact is directly measurable.
Can the AI be configured to focus on specific features the product team wants users to discover?
Yes. You can configure the AI to proactively surface specific features to users who would benefit from them, based on their usage patterns and profile.
Does AI user engagement work for B2C SaaS as well as B2B?
Yes. B2C SaaS uses Strides for user onboarding, feature discovery, and engagement at scale. The AI experience is identical to B2B but configured for consumer use cases and product complexity.