Success Stories

We make every ad smarter, faster, and more predictive.

From heritage icons to high-growth disruptors, we partner with brands ready to move faster, think smarter, and predict better. Every case here shows what changed: fewer wasted impressions, sharper targeting, and signals that actually drive sales. This isn’t plug-and-play tech. It’s partnership. And it works.

From Clicks to Clarity

A luxury multi-category retailer based in London

The brand’s digital strategy relied heavily on post-click metrics — bounce rate, time on site, and purchase events. But this only showed what had happened, not what could happen next. Their teams lacked visibility into the early indicators of purchase intent, and their remarketing relied on basic rule-based triggers. Campaigns were firing late — missing key moments where conversion was most likely — and media spend was going to broad audiences with no real differentiation in intent.

Sub2 integrated ScoreMax to shift the brand’s targeting strategy from reactive to predictive. Using live on-site and cross-channel behaviours — from dwell time and revisit patterns to scroll depth and product interest — we developed intent scores that forecasted which users were most likely to convert before they took action. This allowed creative and media to pivot in real time. Personalised display ads were tailored based on time-of-day, device type, and behavioural fingerprints.

+31% increase in conversion rate

-18% media waste reduction

Unlocked time-of-day and device-based insights

From Traffic to Targets

A national high-street fashion brand

This brand had strong top-of-funnel activity — high traffic, strong engagement — but couldn’t distinguish browsers from real buyers. Their retargeting was one-size-fits-all: every visitor received the same message regardless of journey stage, intent, or likelihood to convert. This not only wasted budget, it also fatigued users and limited creative performance. The team knew there was value in the data, but lacked a way to extract actionable signals from it in real time.

We deployed Predictive Analytics through ScoreMax to create live buyer probability models. These scored every site visitor based on hundreds of behavioural signals — time between visits, basket activity, repeat product views, bounce patterns — and determined their next likely action. High-likelihood users were served conversion-focused creative with urgency triggers, while low-likelihood users were excluded from spend altogether. We also ran multivariate creative tests based on predicted next step (e.g., revisit, purchase, abandon) — ensuring the right message hit at the right moment.

+26% uplift in revenue from display

Smart suppression of low-likelihood users

100% creative performance, same media spend

From Push to Precision

A premium interiors retailer with long decision cycles

This home and interiors brand offered considered, high-ticket items — with purchase journeys often spanning weeks or months. But their ad strategy treated all buyers the same, retargeting early-stage browsers with the same urgency-based messaging as high-intent shoppers. This mismatch between user mindset and ad delivery caused campaign fatigue and underperformance. ROAS was declining, and user drop-off rates were increasing.

Using ScoreMax, we mapped behavioural journeys across longer cycles — identifying not just interest, but stage of intent. We looked at signals like return visits to the same product category, frequency of basket building, and navigation depth. Users were clustered dynamically into stages like researcher, returning comparator, and ready to purchase. From there, creative was matched to user mindset: early-stage users saw inspiration content and lifestyle-led ads; late-stage users were given urgency cues, reviews, and stock notifications. Retargeting windows were also adjusted per user

+20% increase in average order value

Dynamic behaviour-driven ad frequency and timing

Reduced reliance on catch-all remarketing

See the results others are getting

Your media’s underperforming. We can fix that.

We’ll show you what your current campaigns might be missing — and how to transform them with real-time predictive power.

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