Retail media is a rapidly growing segment of digital advertising, with US spending forecasted to exceed $41 billion in 2022, up nearly $10 billion from 2021, and projected to reach $50 billion by 2023, accounting for one in five digital ad dollars. Five key trends shape its future: First, retailers are inviting smaller brands through self-serve, budget-friendly options, diversifying revenue sources. Second, diversification of partnerships across multiple networks and ad formats (e.g., connected TV) reduces reliance on single providers.
Third, video ads are becoming dominant due to 7.5 times higher click-through rates than static ads, enabling multi-touchpoint engagement. Fourth, first-party data from retail media networks becomes crucial as cookies fade, allowing personalized campaigns based on customer search, browsing, and purchase history. Fifth, machine learning optimizes campaigns for metrics like CTR and ROI, making data-driven decision-making essential.
These trends highlight the need for marketers to adopt self-serve platforms, diversify partnerships, invest in video, utilize first-party data, and leverage AI for effective retail media strategies.
Data discrepancies in mobile attribution arise from differing models, lookback windows, and time zones. Accurate measurement is crucial for ROI. Using a single source of truth via MMPs and raw data helps mitigate issues.
Sponsored ads in retail media networks mimic native site content, like search results on Instacart. They boost brand visibility, credibility, and sales. Retailers like Amazon earn most ad revenue from these ads. Successful examples include Reebok using eBay's Promoted Listings to increase sales by 55%, Clorox leveraging Target's Roundel for a 25% retention boost, and Hershey using Walmart Connect omnichannel to lift sales 73%.
App monetization involves strategies like in-app purchases, subscriptions, and advertising to generate revenue from free apps. Key metrics include retention, ARPU, and LTV. Choosing the right model depends on app type and user behavior.
mCommerce is mobile buying/selling. It's booming, hitting $2.2T in 2023. Consumers prefer apps for convenience and security. Success requires fast load times, easy checkout, and personalization.
AppsFlyer’s 2026 creative data shows video and static image ads reward opposite creative qualities, so ad ops teams should plan, budget, and test them separately. Video spend is concentrating: gaming’s top 2% of video creatives captured 60.7% of spend, up from 53.5%, while image spend spread out. Top spenders are testing far more variations, widening the testing gap. Action/Strategy and Puzzle/Lifestyle show format-specific tone and social-proof reversals; Finance is the exception. Teams should use AI-assisted variation, analyze video winners deeply, keep broad image testing, and measure performance at attribute level.
Omnichannel analytics unifies customer behavior and campaign performance across mobile, web, CTV, and AI search into one identity, one attribution model, and one ROAS number. The core problem: a single customer seen on three surfaces becomes three users, inflating performance and corrupting attribution, LTV, and retention. Stitching channel reports into one dashboard is not unification—each channel keeps its own attribution logic, so conversions get double-counted and upper-funnel spend looks unproductive. For ad ops leaders, the takeaway is that identity resolution (deterministic plus probabilistic, privacy-safe) must happen at the data layer before any dashboard exists. Platform choice hinges on surface coverage, identity resolution, compliance, incrementality testing, and migration support.
This TikTok for Business landing page promotes a limited-period new-advertiser incentive program offering up to USD 6,000 in matched ad credits. Three self-serve tiers are presented: 50% off first 30-day spend (up to $200), dollar-for-dollar match up to $500, and match up to $6,000. A separate headline offer advertises Spend $100/Get $100, Spend $500/Get $500, and Spend $1,500/Get $1,500 plus 1-to-1 expert onboarding support. Registration requires email or phone sign-up with 2-step verification. Eligibility is restricted to new SMB self-serve accounts, excluding agency, Business Center, and TikTok Shop accounts; credits post within 7 days of hitting the highest threshold or after the 30-day window.
This article discusses data privacy in the data market, focusing on GDPR and similar laws. It explains how data vendors ensure compliance through fair and transparent data processing. Sensor Tower describes its privacy-by-design approach, using first and third-party sources with user consent. It emphasizes de-identification and minimizing personal data collection.
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