u/Clean-Fee-52

Live Webinar

Register to join: Registration Link

Hey r/aigents,

Most AI agent conversations here focus on dev tooling, coding assistants, or research agents. This one's different - it's about revenue agents.

Shipping fast is table stakes now. The hard part is turning early traction into compounding growth without hiring a full GTM team or duct-taping 6 point solutions together.

We're running a free live session on how high-growth B2B SaaS teams are doing exactly that - using AI agents that:

• Watch real product usage signals (who activated, who stalled, who's ready to expand)
• Auto-trigger the right play — onboarding nudge, activation sequence, expansion outreach, reactivation
• Connect product data → marketing action without a human in the loop

We'll walk through 4 specific plays live:

1. Onboarding — triggers, channels, and the metric that tells you it worked
2. Activation — catching users before they ghost out of trial
3. Expansion — reading behavioral signals for upsell before your CSM notices
4. Reactivation — bringing back dormant users based on what they did, not just how long it's been

This is a collab between ThriveStack (AI revenue intelligence) and Brevo (Marketing automation) — so we're showing the full connected stack, not just slides.

Register: Registration Link

Looking to connect with multi‑touch attribution experts.

Curious which models you’ve found reliable enough to drive actual decisions.

If you’ve battle‑tested MTA in a SaaS environment, I’d love to chat.

Not the “I ran a linear model once” crowd — I mean people who’ve really operationalized it. Which models have been decision‑grade for you vs. total noise?

If you’ve battle‑tested MTA in B2B SaaS, drop your wins, failures, and horror stories.