+23% Customer Lifetime Value in Just 5 Months

A Czech board game retailer unified customer data across ad platforms, slashed ad spend by up to €16K/month, and unlocked smarter AI targeting across Google, Meta, and Sklik.

€8–16K

saved per month

+23%

CLV growth

ad platforms unified

Learn more

The problem

Scaling revenue efficiently felt impossible

TLAMA games is a Czech ecommerce company specializing in board games and tabletop entertainment. With a passionate community and a growing online store, the marketing team was running campaigns across Google Ads, Facebook Ads, and Sklik (the leading Czech search ad platform).

The challenge? Each ad platform operated in a silo. Customer data lived in separate systems with no unified view. The team had no way to build meaningful audience segments, and every platform's AI was optimizing against incomplete data. Finding a way to grow sales volume while keeping acquisition costs reasonable was becoming the core bottleneck.

Key pain points:

Customer data siloed across Google Ads, Facebook Ads, and Sklik with no unified view
Each ad platform optimizing against incomplete, fragmented data
No way to build meaningful cross-channel audience segments
Diminishing returns on every additional euro of ad spend
Scaling revenue meant scaling costs linearly — no efficiency gains

The marketing team was hitting a ceiling. They could spend more, but every additional euro in ad budget delivered diminishing returns. Without a unified view of customer behavior, scaling revenue efficiently felt out of reach.

The solution

Unified customer data powering smarter ad targeting

TLAMA games deployed Boost.space customer segmentation across all their online marketing channels. By building segments from unified customer data and syncing them to Google Ads, Facebook Ads, and Sklik, the team unlocked a fundamentally different way of running performance marketing.

Unified customer profiles

Single view of every customer combining purchase history, behavior, and engagement data from all channels.

Dynamic segmentation

Automated audience segments based on CLV, purchase frequency, and recency — always up to date.

Cross-platform sync

Segments automatically pushed to Google Ads, Facebook Custom Audiences, and Sklik in real time.

Smarter AI targeting

Google smart campaigns fed with real CLV data for both acquisition lookalikes and retention campaigns.

Instead of each platform guessing who to target, Boost.space fed rich, unified customer segments into every channel. Google Ads smart campaigns now had real purchase history and CLV data. Facebook lookalike audiences were built from high-value customers, not just website visitors. The result: every ad euro worked harder.

The results