Use case: Condition-Based Targeting

Find businesses that actually need you.

Most lead tools only filter a stale contact database by industry, size, and location. Flowfiy searches real businesses live on Google Maps and lets you target on real-world conditions — “no website”, “slow or outdated site”, “bad reviews”, “recently funded” — the signals that actually mean a prospect needs what you sell.

$50/mo · 400 credits · No API keys, fully managed AI

The classic play

Web designers: find the businesses with no website

If you sell websites, your best prospects are the local businesses that don't have one — or whose site is broken, slow, or stuck in 2014. That's exactly the segment a category-and-location filter throws away. Flowfiy grades each business's website and keeps the ones that need work.

No website

No live site found — a pure greenfield pitch.

Broken

DNS errors, refused connections, 5xx, or expired TLS.

Slow

Sluggish load times that cost the business customers.

Outdated

No mobile viewport, no HTTPS, missing title/description, stale copyright.

Because website-less locals often have no email, Flowfiy uses the phone and Maps listing it scrapes — those leads stay exportable so you can reach them your way, instead of being silently dropped.

Describe it. Flowfiy figures out how to check it.

Every condition you write is decomposed and routed to the cheapest evaluator that can check it — a search filter, a computed attribute, an active probe, or an AI judge for fuzzy phrasing. The plan shows you exactly how each one is checked before you spend a credit.

“Coffee shops in Austin with no website”

Maps category + location find the shops; a website-audit signal keeps only those with no live site.

“Dentists in Texas with bad reviews”

Maps category + location find the practices; rating and review-count attributes filter to the low-rated ones.

“Marketing agencies under 20 staff with an outdated site”

B2B firmographics filter by industry and size; the website-audit signal flags outdated, slow, or non-mobile sites.

“E-commerce brands running ads on a weak website”

An ads signal confirms active campaigns; the website-audit signal flags an outdated or slow storefront.

“Restaurants that look high-end”

An LLM judge reads each company's research and rates the vibe — handling fuzzy, subjective conditions.

“SaaS companies that recently raised funding”

Industry filters to software; a funding signal keeps only those with a recent round.

Category-only targeting

“Restaurants in Miami” — thousands of leads, no signal of need
You manually scan each one to see if they fit
Most are doing fine and ignore you
Your reply rate suffers because the timing is wrong

Condition-based targeting

“Restaurants in Miami with no website and bad reviews”
Flowfiy filters to exactly the ones with a visible problem
Each lead carries the matched-signal it qualified on
Your outreach references the real reason you reached out

Target the leads that actually need you

$50/mo for 400 credits — no API keys. Describe a condition and see who matches.