Your Ideal Customer Is Already Spending – You Just Haven't Found Them

01 /The Concept

"If you run an agency, a web studio, or sell cloud services to businesses, you already know that companies actively running ads are your ideal clients. They have budget, they're investing in growth, and you can figure out what to offer them." ProspectEcho's founder speaks from experience.

One straightforward way to find which companies are advertising is to search the Facebook Ad Library, where all active ads are indexed. The problem is doing it regularly – it eats hours of manual work every week.

ProspectEcho automates and accelerates that search. The workflow is simple: go to Facebook Ad Library, apply filters for industry, category, and location, copy the resulting URL, paste it into ProspectEcho, and get a ready-made lead list in about five minutes.

The real value is in what happens during that analysis. ProspectEcho doesn't just return company names and website URLs – it finds and enriches contact details for the right people at those companies, so outreach can happen directly via phone or email.

The obvious next step – which hasn't shipped yet, since the platform launched only a week ago – is full AI automation: the platform analyzes what a company does, what ads it's running, and which of your services is the best fit, then writes and sends the outreach automatically.

Pricing runs from $25 to $120 per month, covering 300 to 3,000 leads per month.

02 /Why It Matters

The origin story here is straightforward: the founder was spending 10 hours a week manually searching Facebook Ad Library and digging up contact details. After building a tool for himself, that same work now takes 2 minutes.

This is a classic pattern in startup ideation – one that's chronically undervalued. The advice to "solve your own problem" is well-known, but most people interpret it too abstractly. They think it means "invent something based on a vague personal frustration." But the most direct version is simpler: you had a time-consuming, painful task. You automated it. Now that automation is a product.

The advice to "solve your own problem" is well-known, but most people interpret it too abstractly – they think it means "invent something based on a vague frustration." The most direct version is simpler: you had a time-consuming, painful task. You automated it. Now that automation is a product.

The most common failure mode is taking the long road: founding a startup to create value for others, then struggling to find what people will actually pay for. The shorter road – think about what you're already capable of, what stops you from doing it well, and build the thing that removes that obstacle. It'll be useful to others in the same situation.

One illustrative miss: a founder tried to build a video content pipeline to grow his product's audience. Finding it slow and painful even with AI tools, he moved on. He could have instead built the platform that made it fast and easy. If it was hard for him, it was hard for others.

Simple ideas shouldn't be dismissed on grounds of simplicity – any straightforward tool can evolve into a sophisticated product. The key is that it starts working first. This follows what's known as Gall's Law: any effective complex system evolves from a simpler working system. Simple and functional is the required first step.

As a data point: UserGems ([covered previously](/review/100-dnej-dlja-prodazh)), a platform in the same customer-identification space, raised $20M back in 2021 on the strength of just two simple signals:

It automatically tracked when a contact who'd bought your product changed jobs – so you could sell to the new company through the same person. About 20% of employees change jobs every year, and each transition is a potential new sale. It also tracked new executive hires at target companies – because newly appointed leaders tend to spend 70% of their budget in the first 100 days, buying new tools and reshaping how their team works.

UserGems has since evolved into a sophisticated multi-signal platform. And notably, it hasn't raised additional rounds – which likely means it's growing profitably on its own.

03 /Opportunities

The main takeaway: don't walk past your own problems. Every friction point in your work is a potential product that saves time or improves efficiency – and since none of us are unique, what's painful for you is probably painful for others too.

Even simple tools are worth building. A simple but working product is a prerequisite for a complex and successful one. The moment it solves a real problem, it already has market fit.

So: what tasks in your current business or startup could be solved with a simple automation? How would you package it as a standalone product? And who else faces the same problem?

Why build something complicated when you can start with something simple.