Marketers struggle to identify and target actual paying customers versus lurkers: VALIDATE, 72/100 | Ideas Lab

A tool that separates paying customers from engagement-only users so marketers stop wasting budget on non-converters.

The pain

Marketers measure engagement metrics (clicks, views, comments) but can't easily see which users actually spend money. They optimize campaigns around vanity metrics, then wonder why revenue doesn't follow. Sales teams inherit leads that look hot but never buy. Budget gets burned on audiences that engage but don't convert.

The gap

Existing analytics platforms show engagement. CRM platforms show closed deals. Nothing bridges the gap by identifying which engaged users have conversion signals early, before they become customers or get discarded as dead leads. Most tools require manual tagging or expensive data integration.

Build angle

Start by building a lightweight integration layer that pulls engagement data from one marketing platform (Slack, Discord, email, or web) and one payment system (Stripe, payment processor), then flags users showing both signals. Charge per user tracked or per conversion identified. Focus on one vertical first, SaaS, digital products, or online courses, where the conversion signal is clean and the pain is acute.

Strengths

Real, measurable pain, marketers waste 30-50% of budget on non-converters
Clear ROI story, if the tool saves 20% of wasted ad spend, it pays for itself immediately
Existing data exists, engagement and payment data are already being generated; this is a connection problem, not a data problem
Defensible moat possible, proprietary conversion prediction models improve with data

Risks

Oversimplification, conversion is complex; engagement + payment history alone won't predict future buyers reliably
Integration hell, each platform has different APIs, rate limits, and data structures; support burden could be high
Chicken-and-egg adoption, marketers won't pay until they see results; results require clean data and time
Existing solutions creeping in, Mixpanel, Amplitude, and Segment are adding conversion tracking; incumbents have distribution
Privacy regulations, tracking users across platforms triggers GDPR, CCPA, and cookie consent issues that add complexity

Fly Labs Method

Is the pain real, is there a gap, is it the right time, can one person build it.

72

Value Equation

Dream outcome and how likely it feels, against the time and effort it costs.

68

One-Person Business

Curiosity pull, identity fit, and a path from free value to paid for a solo creator.

75

Viral Frameworks

Hook strength, shareability, and how cheaply it can be tested.

70

Builder Lens

Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.

65

Five lenses, one composite. How scoring works

The angle

Start by building a lightweight integration layer that pulls engagement data from one marketing platform (Slack, Discord, email, or web) and one payment system (Stripe, payment processor), then flags users showing both signals. Charge per user tracked or per conversion identified. Focus on one vertical first, SaaS, digital products, or online courses, where the conversion signal is clean and the pain is acute.

No market research recorded for this idea yet.

Static QR codes require reprints

Businesses print QR codes that become obsolete with URL changes, forcing costly reprints and wasting resources; no easy way to update without physical replacement.

Marketing & Sales

BUILD

78FL score

Automated CRM data cleaning and enrichment

Sales teams waste time with dirty CRM data - duplicate contacts, missing information, and outdated records. Clean data is crucial for effective sales and marketing.

Marketing & Sales

BUILD

78FL score

I found a way to turn your competitors' angry customers into your customers. Here's the simple trick

This one is almost too effective to share. Every SaaS has unhappy customers. Those customers go to Reddit and vent publicly. And those complaints are your best sales opportunities. **Here's why this is so powerful:** these people already understand the problem space (no education needed), already have budget allocated (they're paying a competitor), are actively unhappy (ready to switch), and are publicly asking for alternatives. That's the highest-intent prospect you'll ever find. Higher than any ad click. Higher than any cold email response. **The method:** **Step 1:** List your top 5 competitors. **Step 2:** Search Reddit for "\[competitor name\]" alternative OR "\[competitor name\]" issue OR "\[competitor name\]" pricing **Step 3:** You'll find dozens of frustrated users describing exactly what they wish was different. **Step 4:** Write a genuinely helpful comment. Don't trash the competitor that looks petty. Instead, acknowledge their frustration and offer objective alternatives: "I've used \[competitor\] too and had similar issues with X. Depending on what matters most to you, here are 3 alternatives I've tested: \[tool A\] for Y, \[tool B\] for Z, and \[your tool\] if you specifically need W." **The key:** be honest and balanced. Recommend competitors when they're genuinely better for that use case. People trust someone who gives objective advice over someone who only pushes their own product. **My results from last month:** 3 customers in one month (high ticket niche), started this strategy since Jan. 2026 + this will compound over time the more I find posts to comment. The hardest part is finding these conversations across 50+ subreddits consistently. I use AI Reddit tools like Reppit AI to monitor competitor mentions in real-time, which surfaces opportunities I'd never find manually. Try it this week: search your #1 competitor's name + "alternative" on Reddit. I guarantee you'll find warm prospects over time, as these posts already rank on goog

Marketing & Sales

BUILD

78FL score

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