What you can expect with a trial conversion agent
- Reads activation, champion engagement, and support across every active trial. Catches stalled trials by day 7 with the reason why. Pre-built. Connects in 90 minutes.
- Replaces $10k/year of trial conversion tooling (UnleashX, SaaS Trial Flow, dedicated PLG layers) plus the heavy product-analytics tier you don't need anymore.
- Saves 7-8 hours per week of growth-team Monday triage. Trial-to-paid uplift of 2-4 percentage points typical.
- Catches the why behind every stall by day 7. Not "Account A stalled" — SSO loop, single-user trial, or integration friction, with the outreach already attached.
The 200-trial month
A growth lead at a PLG SaaS company runs the numbers. 200 trials this month. 26 converted. 13% on plan. Then she opens the second number — of the 174 that didn't convert, 89% became inactive within the first week.
Six and a half days. That's where the math is decided.
Her team runs activation tracking on Mixpanel. They have a "good trial" definition — five activation events by day 3, two power users invited by day 5. Trials missing the markers get flagged. But "Account A hasn't completed setup" is useful, not actionable. Why hasn't Account A completed setup? SSO failed? Champion stopped showing up? Competitor mentioned in support?
The agent reads across the stack. By day 7, every flag has the reasoning attached.
What it replaces
For most B2B SaaS companies running 50+ trials/month, the agent makes the following spend redundant:
- Trial conversion tooling (UnleashX, SaaS Trial Flow, RevenueCare AI, custom voice-AI bots): $10-30k/year. These tools convert trials by automating outreach. The agent surfaces the reasoning behind each stall, with the outreach playbook already attached.
- Heavy product-analytics tier upgrades (the $80k+ Mixpanel or Amplitude tiers you bought to do cohort analysis on stalled trials): $30-80k/year potentially recoverable — keep the standard tier for events, drop the analytics-AI add-ons.
- Custom PLG-data engineering to tie product analytics to CRM and support: 1 quarter of platform team time, loaded cost $40-100k.
- Manual triage labor: 8-10 hours/week of growth-team time. Roughly 0.25 FTE.
Net replaced cost for most teams: $40-100k/year direct, plus an engineering quarter.
The math
For a growth team running 200 trials/month:
- Old way: Monday triage takes 8-10 hours. Most stalls flagged but reasons unclear. Outreach is generic. Trial-to-paid conversion: 13% (industry typical).
- With the agent: every active trial has reasoning by day 7. Triage takes 1-2 hours, mostly review. Outreach is specific (SSO walkthrough, champion re-engagement, integration session).
- Hours saved: 7-8 per week. Outreach hit rate doubles because the message matches the reason.
For the Head of Growth:
- Trial-to-paid conversion lifts 2-4 percentage points because the why is visible by day 7.
- PM experiments accelerate — the agent's daily output becomes input to product-friction reduction work.
- CS team intervention quality improves because they walk into outreach with the source data, not their best guess.
What it does
- Activation event tracking. Reads product analytics across the events that correlated with conversion at your company. Flags trials below the converting trajectory at day 3, day 7, and day 14.
- Time-to-value detection. Identifies which features the converting accounts hit first and which the stalled trial under review hasn't hit. Surfaces the gap.
- Stalled-trial signals. Detects the specific stall: setup-step failure, configuration friction, SSO loop, single-user-trying-alone (no team invited). Each pattern has its own playbook.
- Champion identification. Reads CRM, calendar, and email to identify who's actually using it. A trial with three power users converts differently than a trial with one, even at the same usage.
- Outreach recommendations. "Offer SSO config session by Friday." "Confirm second power user invitation." "Surface integration walkthrough for Stripe." Concrete next steps with the specific friction in mind.
How it reads across your stack
The agent reads from the agentic customer layer. The layer resolves identity across product analytics, CRM, support, billing, and onboarding tooling into one canonical trial record. Same trial across every tool, even when product analytics has one ID and CRM has another. Bring your own trial conversion agent over MCP if you've already built one.
Example output:
Trial D — flag: stalled (day 7, medium severity)
- Activation: 30% of converting-trial trajectory at day 7. Below the day-3 marker (1 of 5 events fired).
- Champion: Single user signed up. No power users invited. Last login 3 days ago.
- Stall pattern: SSO configuration started, not completed. Trial paused at the integration step that historically blocks 40% of stalled trials.
- Support: Two tickets in 7 days. Topic: SSO friction, identity-provider conflict. Sentiment: confused, not negative.
- Recommendation: Offer 30-minute SSO walkthrough this week. Send the documented identity-provider workaround. Re-engage with the "what would unblock you" prompt; do not push pricing this week. Probability of conversion: low at current trajectory.
- Sources: [Mixpanel events], [HubSpot record], [Intercom tickets], [SSO config logs].
The growth lead acts in 10 minutes. Trial D either unblocks or churns; either way, the team knew on day 7, not day 28.
Is this for you?
For the Head of Growth, Head of Product, PLG founder, or Head of Revenue at a SaaS company running 50+ trials/month, where:
- Trial-to-paid conversion is a real number on the dashboard.
- You've tried single-tool activation tracking and noticed it tells you who's stalled but not why.
- Your CSMs or PLG ops are spending Monday afternoons triaging trials manually.
If you have under 20 trials/month, manual review is faster.
Frequently asked questions
How is this different from product analytics tools like Mixpanel or Amplitude?
Product analytics tracks events. The agent reads events plus CRM plus support plus billing in one pass and reasons about why a trial is stalled, not just that it's stalled. Most teams keep their product analytics tier for events and drop the analytics-AI add-ons.
Does this work for free-trial vs free-tier vs freemium?
Yes. The agent calibrates to whatever counts as conversion at your company.
How does the agent know what "good activation" looks like at our company?
The first 30 days of running, the agent learns from your converting accounts. After that, it adapts as conversion patterns shift. You can override the definition any time.
What integrations are needed to start?
Product analytics (Mixpanel, Amplitude, Heap, PostHog), CRM (Salesforce, HubSpot), support (Intercom, Zendesk). Billing optional. 60-90 minute setup.
Ready to see it on your trials?
Join the waitlist. Sento is in early access. Free during early access. If you are curious to learn more about agents you can check our article about Churn Agents.
