Mahesh K.

🔥 The $200B problem hiding in every SaaS trial Every SaaS company spends a fortune getting users to sign up. Then loses most of them in the first 5 minutes. SaaS CAC has increased 60% in the last 5 years. Companies are spending more than ever to acquire trial users. But here's what happens after they sign up: - 40-60% of trial users never come back after their first session. - Only 2.7% of trial users are still active after 30 days - The average trial-to-paid conversion rate across SaaS is still sitting at 13-18% Why? Because onboarding is still built like it's 2015. Tooltip tours. Day 1 / Day 3 / Day 7 email drips. In-app checklists. A help center link that 10% clicks. The fundamental flaw: these are all passive. They wait for the user to figure it out. But users don't figure it out. They get confused at step 2, tab away, and never come back. We studied the top 50 PLG SaaS companies ranked by revenue per employee. The gap between the best and the median isn't product quality — it's how fast they collapse time-to-value. Top companies get users to their first value moment in under 3 minutes. Everyone else front-loads setup, explanations, and friction. What we're building: AI voice agents that plug into a company's product analytics (Segment, Mixpanel, etc.) and help trial users the moment they get stuck. Your product has eyes (mixpanel, amplittude etc) and ears (CRM etc) and now we give it a mouth! The agent already knows what the user did and where they stopped. The agent can speak, text - in app, widget, pop up, as a phone call, via WhatsApp, messenger, Instagram - whwrever the user wants to. We're piloting with a fintech SaaS right now in Sweden. Why now: LLM-powered voice hit production quality in the last 12 months. Sub-100ms latency, 30+ languages, natural conversation. This wasn't possible 18 months ago. The ask: Looking for 3-5 SaaS companies running free trials who want to pilot this. We build the integration, you keep the converted users. If it doesn't move your trial-to-paid number, you pay nothing. Check out more at houseofvoice.ai/saas

Just complied the top 50 rankings of funding adjusted revenue per employee (RPE) in SaaS with the guys at Product Led. #1: BuiltWith: 8M USD #2: Relay.app: 3M USD #3: Gamma: 2M USD All 50 here: https://houseofvoice.ai/saas/top50/ Most RevOps teams track trial conversion as a single number. "We convert 12% of trials." But when you break it down by where users drop off, the fix is almost never "improve the product." What the data shows: - 60% of drop-offs happen in the first session. Not day 7. Not day 12. Session one. This means your nurture sequence hitting on Day 3 is arriving 2 days too late. - CAC is up 60% in 5 years but most teams are still spending to acquire users they then lose in the first 10 minutes because nobody's watching the onboarding funnel in real-time. - Every 10-minute delay between a user getting stuck and receiving help costs ~8% in conversion. We're testing this thesis right now - running a pilot with a SaaS company where AI voice agents detect stuck trial users via product analytics events and call them proactively. Essentially turning onboarding into a real-time revenue recovery workflow instead of a static funnel. Curious — how are other RevOps teams thinking about the gap between "user signs up" and "user activates"? Feels like a massive blind spot in most rev stacks.

Hey guys, doing an online event this thursday at 1600 cet on the power of using Voice AI to fix revenue leaks inside your CRM (esp. Pipedrive and Hubspot). I ran a campaign recently for my business MoonRise using the same principles and got 42% reactivation. from my CRM. Stocked about this: https://luma.com/06caxt8s

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