Case Study: Crypto Casino, Grey Market, Wallet-Targeted Display

This is a composite, built from aggregated campaign data to show the shape of the work. It is not a single named client, and the figures are rounded bands.

The brief

A crypto casino targeting a grey market wanted FTD volume without wasting spend on audiences that would never deposit in crypto. Mainstream programmatic had already burned budget on exactly that problem.

The plan

Crypto-native display across Coinzilla, Cointraffic and Bitmedia, with wallet-behaviour targeting as the core audience layer.
Push and pop for volume on top, filtered hard at source level, crypto and fiat deposits segmented from day one.
Retargeting activated once the pool crossed a usable size, to compress CPA into the target band.

The shape of the result

CPA followed the decline curve: a high month-one baseline while the pixel matured, compressing toward the target band by months 4 to 6 as retargeting carried more of the volume. The lever that mattered most was wallet-behaviour targeting, which cut the wasted spend mainstream programmatic could not avoid.

The takeaway is the method, not the number: pick the channel that can actually see the audience, filter volume before it bills, segment crypto from fiat, and judge the campaign against the curve. The rounded bands behind work like this are on the benchmarks hub.

Questions operators ask

Are these case study numbers from one client?

No. This is a composite built from aggregated campaign data to show the shape of the work, with rounded bands rather than a single client's exact figures.

What drove the result in the crypto case?

Wallet-behaviour targeting on crypto-native display, which concentrated spend on audiences that could actually deposit in crypto, plus hard source-level filtering on push and early retargeting.

Crypto casino, grey market, wallet-targeted display

The brief

The plan

The shape of the result

Questions operators ask

Tell us the market. We tell you what converts there.