Location Intelligence Growth Freemium SEO

Free Access to a Paid Data Platform, Without Giving the Platform Away

A free, public product that delivers real location insights with no signup, converting unfamiliar visitors into paying users.

The problem

Placer’s customers came mostly from industry word-of-mouth. Users who didn’t already know the platform couldn’t see its value, and trial numbers stayed low.

What I did

Designed a free, public product that delivers real location insights with no signup, built as a template system that generates a page for every venue and zip code, converting unfamiliar visitors into paying users and opening a new SEO front.

The result

A live public product where a Google search leads straight to data, not to a login wall.

Role & Context

Product Placer.ai, a location intelligence unicorn: foot-traffic analytics that tell retailers, real-estate firms, and investors how physical places perform.
Role Product designer on the Growth team, working with a product manager and a UX researcher.
Mandate Growth, with free-to-paid conversion as the KPI. One template system generating a page for every US venue and zip code, with zero-signup access from search to insights.
Validation Live today as Placer’s public front, with the same core structure four years and several product cycles later.

The moment

Leadership kept hearing the same feedback: people who didn’t already know Placer couldn’t understand what it does or why it’s worth paying for. The platform’s power was locked behind a signup, so the only users who converted were the ones who arrived already convinced. Growth had a ceiling, and it was the front door.

The challenge

Generous, but not too generous

The core tension: expose enough of a complex, paid data platform to prove its value, without hurting the business it funds.

Every piece of data was a decision: does showing this convert a visitor, or replace the product? The answer became a design pattern: real value first, and the lock placed exactly where the value is proven, a blurred metric with an unlock, a gated deep-dive after the free insight, turning every page into both a proof and a conversion point.

Decision 01

One template, not pages

The real entry point wasn’t Placer’s homepage, it was a Google search: someone looking up a specific store, brand, or zip code.

So instead of designing pages, I designed a template system: one structure that programmatically generates a page for every US venue and every zip code, each with real data, internal cross-links, and its own conversion moment. Design once, rank everywhere.

Decision 02

Two page types to cover every persona

Working with a UX researcher who interviewed users at scale, we mapped the personas the free product should serve.

Two page types covered them all: places (a specific venue or brand) and areas (zip codes), serving both the retail-focused and the location-focused personas with the same system.

What didn’t work

Early direction, rejected

The explainer video

An earlier direction was a video showcasing the platform’s capabilities, telling visitors what Placer can do.

It underperformed, and the lesson shaped the product: unfamiliar users don’t need to be told the value, they need to experience it. The product replaced the pitch: search a brand, get real data.

Decision 03

Adapt, don’t build

Engineering resources were limited, so the free product was designed within a hard constraint.

The constraint I designed within

Adapt the platform’s existing components rather than invent new ones, reshaping them for an audience seeing the data for the first time, with the same template system responsive down to mobile.

What changed

Live today, as Placer’s public front

Anyone can search a brand or zip code and get real visit data, trends, and rankings, free, no signup.

Reflection

Four years and several product cycles later, the core structure survived: search a place, get real data, hit the lock exactly where the value is proven. That’s the validation I’ll take.