Case 06 — Alqua Digital Index
Alqua Digital Index
Turning internal data into a public ranking — and a public ranking into a lead generation engine
Alqua's platform held a significant data asset: thousands of brands across multiple industries, analysed continuously across social media performance, influencer campaign efficiency, media presence, and digital brand value. This data powered our core product — but it lived entirely inside the platform, visible only to paying customers.
We noticed something in client demos. When we showed prospects the internal ranking — which brands were leading their sector digitally, how they compared to competitors, how positions shifted over time — the reaction was consistently strong. People leaned in. They wanted to know where they ranked.
The question we started asking was simple: what if this data didn't just live inside the product? What if it became the product? The Alqua Digital Index was our answer: take the most compelling part of our platform and make it publicly visible, with carefully designed access limits that created a natural path from curiosity to conversion.
The algorithm — making ranking credible
Before the product could work as a lead magnet, it had to be credible as a ranking. We spent significant time refining the Alqua Digital Index formula — a composite score measuring digital brand impact across multiple dimensions: social KPIs (followers, engagement, post volume), influencer campaign efficiency, media presence, audience perception, and monetary digital brand value.
The formula went through multiple iterations. We introduced logarithmic scales to handle the enormous variance between large and small brands without large players dominating purely on volume. We built category, sub-category and niche taxonomies covering industries across Spain and Latin America, so rankings were meaningful at every level of specificity.
The credibility of the index depended on this rigour. A ranking that felt arbitrary would generate curiosity but not trust. A ranking that felt methodologically sound would generate the kind of engagement that leads to a sales conversation.
Phase 1 — The automated report
The first version was a downloadable report: a designed, data-rich PDF ranking the top brands in a given industry for a given period. We produced reports by sector — Beauty was one of the first, analysing 2,650 brands and ranking the Top 200.
The reports were marketed through a landing page with a single conversion wall: to download the full report, you had to provide your contact details. The content was the incentive. The registration was the cost. This gave us a qualified list of people who cared about digital brand performance in a specific industry — exactly the profile of our ideal customer.
Phase 2 — The live tool with conversion architecture
The report had a fundamental limitation: it was static. A brand's position in a quarterly report told you where you were — but not how you were trending, who was overtaking you, or what was happening right now.
We built the ADI as a live, interactive tool on the Alqua website. Users could explore rankings by industry, sub-category, niche, time period, and country. But not all of it.
Anonymous users could see a limited number of brands per ranking — enough to understand the value and see their own brand's position, but not enough to do serious competitive analysis. Registered users got full access to rankings, plus a timed modal promoting the latest sector report. The consultation button — a direct path to a sales conversation — was always visible.
Every access limit was designed to create a specific kind of frustration: the productive kind, where you can see the value of what you can't fully access yet. The wall wasn't there to block — it was there to motivate.
The product thinking behind it
What I find most interesting about this project is that it wasn't a marketing initiative with a product wrapper. It was a product decision that had marketing consequences. A marketing initiative asks: how do we attract more leads? A product initiative asks: what is the most valuable thing our product does, and how do we put that value in front of people who don't yet know we exist?
The ranking exploited a specific psychological dynamic: competitive benchmarking. Brands don't just want to know their absolute performance. They want to know how they compare to competitors. The ADI made that comparison visible — and then limited it just enough to make the full picture worth paying for.
2,650+
Brands analysed
In the Beauty sector alone — across Spain
3
Conversion layers
Anonymous · registered · consultation — each designed to move users forward
2
Phases
Automated PDF report → live interactive tool with access limits
Multi-industry
Coverage
Beauty and multiple sectors with category/sub-category/niche taxonomy
The most valuable lesson from the ADI is that data you already have is often more powerful as a public product than as a private feature. Keeping data inside a paywall protects revenue in the short term but limits the audience who can ever discover your value.
I also learned that conversion architecture is product design. Every decision about what an anonymous user can see, what a registered user unlocks, and where the consultation button sits is a UX decision with direct revenue consequences.
The algorithm work was a lesson in the relationship between credibility and adoption. A tool that people don't trust won't generate leads regardless of how well the conversion walls are designed. The investment in making the ranking methodology rigorous was an investment in the trustworthiness of the product. Without that foundation, nothing else would have worked.