JBL had the scale and the spend. Its Amazon DSP campaigns were well-established and reached broad audiences. 

But they hit a common barrier: ad fatigue. Too many impressions to the same users were diluting effectiveness and burning the budget. The mission was to identify the optimal ad frequency that maximised performance without alienating potential buyers. Less repetition, but more relevance.

We worked inside the ultimate data clean room (AMC) to extract high-value insights and rebuild JBL’s media strategy from the ground up.

Here’s what we did:

• Mapped frequency sweet spots: we analysed 90 days of campaign data at the event level to identify the exact moment when metrics such as ROAS and DPVR peaked, and where they began to drop.
• Created a frequency audience: once we knew the optimal impression cap, we built a custom audience of users who had already hit it and excluded them from future campaigns.
• Reallocated budget with precision: we redirected spend toward fresher, high-intent users who hadn’t yet been saturated, ensuring every ad impression was working harder.