# Best Buy built a $1B+ retail media business by selling CTV ads where customers already watch

*The retailer turned its electronics authority into advertising inventory by pitching brands on connected TV placements.*

By **Jenny Huang Goodman MPA MSc MHSA, Principal** — The Stash Edge, Hako Shikin LLC.
Published 2026-09-27.

Canonical: https://www.pops4.com/stash/articles/best-buy-2026-09-27t18-2
Subject: Best Buy
Tags: retail media, connected tv, first-party data, video advertising, electronics, targeting

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Best Buy repositioned its retail media network around connected TV advertising, placing the screens it sells at the center of its pitch to brands, according to Modern Retail's Big-Box Briefing. The move leans into the retailer's core authority — electronics — to differentiate in a crowded retail media market that has largely centered on sponsored product listings and display banners.

The mechanics are straightforward. Best Buy sells ad placements on connected TVs, the devices consumers buy from Best Buy stores and BestBuy.com. Brands advertising through Best Buy's retail media network can now buy video inventory that runs on those screens, targeting households based on purchase history and browsing behavior. The pitch is simple: reach electronics buyers where they already watch, using first-party data from the retailer that sold them the hardware.

This works because Best Buy owns a distribution advantage most retail media networks cannot replicate. The company sells the screens, meaning it has direct insight into which households bought which devices, at what price point, and when. That purchasing data creates a targeting layer unavailable to general display networks. A brand selling premium soundbars can reach households that recently bought high-end TVs. A gaming peripheral company can target buyers of specific console models. The ad runs on a device Best Buy sold, using data Best Buy collected, creating a closed loop from transaction to impression.

The broader mechanism is attention arbitrage. CTV advertising commands higher CPMs than standard display because completion rates run higher and ad blocking is minimal. By repositioning its retail media offering around video inventory instead of search-based product ads, Best Buy captures that premium while still using its first-party retail data as the targeting foundation. Brands pay more per impression, but they get video creative in a lean-back environment with measurable attribution back to Best Buy purchases.

For a small physical-product brand, the steal is not buying Best Buy's CTV inventory directly — minimum spends make that unworkable. Instead, reverse-engineer the closed loop at your scale. If you sell a product category that pairs with a specific device or platform, buy display or video ads on that platform and target based on device ownership or usage signals available through self-serve ad managers. A phone accessory brand targets iOS users through Apple Search Ads or Meta's device-targeting options. A desk accessory brand targets remote workers through LinkedIn's job-function filters, then retargets based on engagement. The principle is the same: find the platform your customer already uses, buy video or display inventory there, and use available targeting to mirror purchase intent. Run a **$500** test campaign with video creative under fifteen seconds, track click-through to product page, measure conversion, and scale the channel that closes. The data stack is simpler, but the loop is identical.

The pattern extends beyond electronics. Any brand with a defined customer profile that clusters around a specific platform or media habit can build this play. The key is matching your product category to a media environment where your buyer already pays attention, then using the platform's native targeting to approximate first-party purchase intent. Best Buy's advantage is owning the device; your advantage is knowing exactly where your customer spends time and buying that inventory before competitors realize it works.

## The takeaway

Best Buy turned CTV ad placements into a retail media differentiator by targeting buyers on the screens it sold them.

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## Publisher

**Hako Shikin LLC** — Virginia Beach, Virginia. Founded 1997. ASI 217876 · DUNS 18-204-6339.
Principal and author: **Jenny Huang Goodman MPA MSc MHSA**.

- Author: https://www.huanggoodman.com/about
- LLM context: https://www.pops4.com/stash/llms.txt
- MCP endpoint, for AI agents: https://mcp.pops4.com/mcp
- Client dashboard: https://dashboard.pops4.com/
- Catalogue: 70,000+ products, 200+ brands