# ShopLiftr Routes Live Local Deals Across Display, DOOH, and CTV Simultaneously *Off-site activation platform syncs promotional inventory in real time across three channels shoppers actually see.* By **Jenny Huang Goodman MPA MSc MHSA, Principal** — The Stash Edge, Hako Shikin LLC. Published 2026-07-16. Canonical: https://www.pops4.com/stash/articles/shopliftr-2026-07-16t12-6 Subject: ShopLiftr Tags: omnichannel, dooh, ctv, promotions, performance-marketing, retail-media --- ShopLiftr announced an off-site performance engine that renders each brand's live local deals across display advertising, digital out-of-home, and connected TV at the same time, according to TMCnet. The platform syncs promotional inventory in real time and follows the shopper across channels, eliminating the single-channel promotion constraint most physical-product brands face when they run deals through a single retailer or banner. The mechanics work through a unified promotional feed. A brand uploads its current offer—say, **$3 off a twelve-pack**—and ShopLiftr distributes that deal across display banners on publisher sites, digital billboards near store clusters, and pre-roll spots on streaming platforms. When the brand updates the offer or changes the geography, all three channels reflect the new terms within minutes. The infrastructure layer handles creative rendering, so the brand does not rebuild assets for each format. The underlying advantage is message consistency at the moment a shopper moves between screens. A consumer sees the same **$3 off** language on a news site in the morning, on a digital board during the commute, and in a streaming ad that evening. Repetition across formats drives higher recall than a single touchpoint, and the shopper encounters no conflicting price or promotion when she reaches the point of purchase. Brands that run omnichannel campaigns report lift in both awareness and conversion, because the path from exposure to shelf is shorter and the message does not degrade. For a small brand shipping into regional grocery or convenience, this model was previously out of reach. Display, DOOH, and CTV each required separate vendors, creative specs, and minimum spends that together exceeded most monthly media budgets. ShopLiftr's approach collapses the three into a single upload and a shared performance metric, making the play viable at modest scale. The steal begins with a tight geography and a single offer. Choose **three to five zip codes** where your product already has distribution. Write one promotion in plain language—dollar off, percentage, or bundle—and produce a single static image at **1080×1080** with the offer, product shot, and retailer logo. Upload that creative and the offer details to ShopLiftr's platform. The system auto-generates display banners, DOOH boards, and a **15-second CTV spot** from the master asset. Set a daily budget of **$150 to $300**, depending on market density, and let the platform allocate spend across the three channels based on real-time performance. Monitor which format drives the highest lift in retailer scanner data or promo-code redemption, then shift future budgets toward that channel. After two weeks, refresh the creative or rotate a new SKU through the same infrastructure. The entire cycle—upload, deploy, measure, refresh—runs without hiring an agency or negotiating three separate media contracts. The broader pattern is infrastructure that treats promotion as a feed, not a campaign. Brands that can update their local, live deals across every screen a shopper sees will compress the purchase cycle and reduce the waste that comes from mismatched messaging. The next move is to test whether your current retail partners will share point-of-sale data fast enough to let you refresh the offer mid-week, turning the promotion into a dynamic response to inventory or weather rather than a static two-week window. ## The takeaway Upload one offer, deploy across display, DOOH, and CTV in the same geography, measure which format lifts sales fastest. --- ## 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