The 4x CPI Gap: Why Premium Inventory Isn't Always Premium Performance

Experian has been a Simulmedia partner for years, and every flight is a new chance to push their CPI lower. Across a four-month linear TV program targeting four credit-active audiences, data-driven forecasting and selection cut Experian's CPI by 4x versus premium network benchmarks. Audience precision, not channel prestige, drives app install performance.

The Challenge

Experian needed app installs across four audiences: one broad demo and three behavioral credit-active segments:

• A25-54 broad base (123.5M)
• Revolving and Recovering (62.4M credit rebuilders, HHI $50K-$150K)
• No Ding Decline (58.6M premium card holders, HHI $75K+)
• Savvy and Striving (41.0M tech-savvy financial climbers, HHI $50K-$150K).

Each segment needed its own performance answer, not a blended one. The industry default obscures per-audience CPI behind aggregate GRPs and premium network bias. This flight required visibility into which inventory was actually driving installs, by segment.

The Strategy

Target the individual credit-active consumer groups. Move spend to what converts.

01 - Build individual audiences to install behavior. Activated Kochava Install modeling - enhanced audiences from Experian's own historical installers to define which households were statistically predisposed to install, by segment. TV became intent activation, not awareness.

02 - Measure CPI at network and daypart level. Evaluated CPI across 68 networks and all dayparts, not aggregate GRPs. Response rates varied up to 9x across high-reach networks, exposing where optimization leverage exists.

03 - Shift spend to entertainment and off-peak inventory. Moved budget out of news and primetime, where CPMs were highest and CPIs were worst, into entertainment, overnight, and daytime, where credit-active consumers over-index. Acquisition costs ran 4x lower.

04 - Hold CPM stable across a multi-segment, multi-month flight. Held sourcing consistent across all four segments from October through January. Efficiency wasn't a one-month instance; it continued across the four-month campaign.

The Results

Audience-led inventory routing cut Experian's CPI by 4x and delivered $2.1M in additional value at no extra cost.

When TV buying is optimized against audience data rather than biased network selection, reach increases and drives business outcomes, such as app installs at a fraction of the cost of premium inventory.

Why It Worked

Audience match, not network prestige, drove the 4x CPI advantage. Each of the four audiences was optimized as its own buy, with inventory routed to where those credit-active households actually watched. And because performance is reported per audience, every segment has its own answer on what worked.

Takeaway

For Experian, audience-led routing decreased CPI by 4x and produced $2.1M in additional value on the same $7.5M budget: $1.3M in CPM efficiency below plan, $800K+ in over-delivery. For financial services advertisers buying TV to drive app installs, the network price tag doesn't always predict the install cost. Each Experian flight gets sharper than the last.