Customer-Led Growth in an AI world with Gia Laudi (Forget The Funnel)

Gia (Georgiana Laudi) has helped teams double conversions, dramatically increase adoption, and cut churn by grounding growth decisions in real customer insight. In this session, she'll break down the customer-led framework behind those results and how to apply it to your own product. 

What we'll cover: 

• How to stop guessing about what's actually driving (or killing) growth
• How to reposition with confidence as AI reshapes what customers expect and how they buy. 
• The simple customer-led framework that helped Sparktoro double their trial-to-paid conversions, Autobooks increase product adoption 300%, and Synked Up reduce churn by 50%. 

Gia is a longtime marketing exec, strategic advisor, author and speaker. She loves nothing more than helping product teams get the clarity they need to scale with confidence. She co-created the Customer-Led Growth framework (and co-authored the best-selling book, Forget The Funnel) to help pinpoint exactly where to concentrate your efforts so you can align your team and scale faster.

The core framework: customer-led growth

Gia's central claim: the fastest, most reliable path to profitable growth is understanding customers' context and circumstances — not running more marketing experiments or copying other people's playbooks. This unlocks positioning, messaging, marketing, sales, and product onboarding all at once. It's based on her book, Forget the Funnel, and can be done in as little as six weeks.

Three steps

1. Learn what matters to your best customers. Interview customers who signed up recently (within the last ~6 months — recency matters, since older customers made decisions in a different market) and who are experiencing recurring value. Ask about their life before your product, what triggered them to look for a solution, what else they tried, and why they ultimately chose you. Don't ask about pricing, UX, or feature opinions — this is demand-side research, not usability testing.

2. Reverse-engineer their success. Map the end-to-end customer experience — from the struggle they had before they knew you existed, through discovery, adoption, retention, and expansion — and identify the milestones where they experience real value.

3. Identify your biggest gaps and growth levers. Honestly audit whether your messaging, positioning, and product experience actually meet customers where they are at each stage. This is often uncomfortable if you've just invested in a new website or onboarding flow.

Jobs to be Done (JTBD)

Demographic/firmographic data (industry, company size, tech stack) is useful for targeting but can't tell you who your best customers are or why they choose you. JTBD interviews surface the trigger that moved someone from passively tolerating a problem to actively shopping for a solution.

• Expect 3–5 distinct jobs to be done to emerge from interviews — but they are not equally valuable.
• Example: an invoicing tool found one vocal, fast-adopting segment ("just need to send invoices") that looked great on paper but had low LTV, versus a quieter, slower-adopting segment ("need to invoice on the go") that was actually far more valuable. Don't let the loudest signal win by default.

How to actually run this (practical logistics)

• Pick a window: if you've acquired 20+ genuine inbound customers in the last 6 months, that's your interview pool.
• Aim for 10–15 completed calls (book more to cover no-shows). An experienced interviewer reaches pattern saturation around 6–8 calls; DIY teams should plan for roughly double that.
• You can supplement with sales call recordings/notes — but only from deals that closed. Learning from lost deals dilutes the signal.
• "Engagement" for identifying good interview candidates means real product usage indicating value, not just logins or repeat billing (this matters for annual-contract businesses too).

Case 1: Tonomo  — differentiated positioning

Challenge: word-of-mouth and referral growth is strong, but cold-audience positioning and messaging isn't converting or differentiating.

• Tonomo's homepage headline ("all-in-one operating system for scheduling, editing, workflow, delivery, payments") is nearly identical to its main competitor's — it reads as a vitamin, not a painkiller, and gives visitors no reason to self-identify or keep reading.
• Key insight: John's own sales-call research already contained the answer — most of his best-fit customers (mid-size "team builder" studios) are switching from a specific direct competitor after outgrowing its solo-operator design. That's a different, more specific circumstance than customers replacing spreadsheets/manual tools, and it needs its own message.
• Recommended actions: (1) Re-run the sales-call analysis using only closed deals within the target segment; (2) apply April Dunford-style positioning components (competitive alternatives, unique value, who cares) for that one segment only; (3) rewrite the homepage hero to name the specific pain of outgrowing the competitor being fired, rather than repeating generic "all-in-one" vitamin language.
• General lesson: when your research produces multiple "circumstances" (e.g., firing a competitor vs. firing a spreadsheet), don't collapse them into one generic message — they need different messaging, and possibly different pages.

Case 2: StatusGator — inconsistent inbound

Challenge: signups mostly spike around major, unpredictable outage events; inbound demand outside of those events is inconsistent and hard to plan around.

• Gia's diagnostic: look specifically at customers who signed up outside of a major outage event — they represent a real, repeatable inbound motion, versus outage-driven signups which are closer to lucky timing.
• Recommended actions: (1) Interview recent, high-LTV customers about what happened inside their organization before they went looking (e.g., a new IT/ops hire, a compliance requirement) and where they went to search ("watering holes" — Reddit, communities, search, LLM answers); (2) once those channels are known, show up there with problem-focused (not product-focused) content or presence; (3) add a one-question "how did you hear about us" prompt at signup, focused on customers who convert to paid, to keep building this channel map over time.
• General lesson: before assuming you have a positioning problem, check whether the real gap is earlier — getting the right people to your website at all ("front door" problem vs. conversion-once-there problem).

Case 3: DebugBear — weak trial-to-paid conversion

Challenge: healthy signup volume (largely from a free website-speed-test tool) but only ~1% free-to-paid conversion, and no clear ICP.

• Key open question: who actually champions the purchase — the developer who first hits a performance problem, or the marketer who tells them to fix it? Matt wasn't sure, and Gia flagged this as urgent to validate because the two personas need different messaging, different proof points, and possibly separate landing pages.
• A 1% free-to-paid rate suggests many signups aren't the right fit or aren't reaching real value — not necessarily a top-of-funnel or website problem.
• Recommended actions: (1) Interview customers who actually converted to paid (not just "who's using it") to learn the organizational trigger and the deeper motivation behind the surface complaint (e.g., "failing Core Web Vitals" often masks a more personal driver like proving performance/value inside their team); (2) stop relying on time-based drip emails and instead identify the single "first value" moment in the product and design onboarding around getting users there fast; (3) add a segmentation question to the free website-speed-test tool (the top acquisition source) to separate good-fit leads from casual testers; (4) fix trial-to-paid conversion before investing further in top-of-funnel or the free tool — otherwise you're optimizing a leaky bucket.

Takeaways for any founder

• If growth feels stuck, the root cause is more often a customer-understanding gap than a messaging or channel problem — fix understanding first.
• Talk to recent, happy, high-value customers (not your oldest or loudest ones) about the circumstances that led them to look for a solution and choose you specifically.
• Not all customers or jobs-to-be-done are equally valuable — watch for vocal-but-low-value segments distracting you from quieter, higher-LTV ones.
• Position against the specific thing people are "firing" (a competitor, a manual process, a legacy tool) — generic "all-in-one" or feature-list messaging blends in and reads as a vitamin, not a painkiller.
• Map the full customer journey and find the single most important "first value" moment; design onboarding communication around getting users there, not around a generic time-based drip.
• Fix foundational conversion leaks (e.g., trial-to-paid) before investing further in top-of-funnel or website traffic.

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