GrowthLoop vs LoopMe

Why good retailers make bad ad tech decisions

This article from The Drum, written by commerce media columnist Kiri Masters, explores the organizational and financial challenges that hinder retailers from adopting new adtech, despite the availability of advanced technology. It describes the gap between technology capabilities and an organization's ability to approve and implement it, using the example of a retail media leader who manually adjusts an inadequate ad server to compensate for poor forecasting. The article outlines four eras of retail media: in-house builds, economic pendulum swings, cloud/composable architectures, and AI-era data requirements. It contrasts different RMN strategies, such as Costco's hand-built stack and Ace Hardware's use of CitrusAd, highlighting that tech choices often reflect historical timing rather than current needs. It discusses the 'budget clock' and 'career clock' that constrain decisions, and concludes with expert insights on proposition-led strategies versus technology-led ones, noting the trend of advertiser consolidation on major DSPs.

• Citing a retail media leader, the article states that a mid-sized US network uses an ad server built for legacy publishers, which fails to forecast retailer traffic patterns, leading to underdelivery.
• The article says that the retail media leader manually adjusts the platform's forecasts every week or two to avoid missing seven-figure ad revenue.
• GrowthLoop launched an end-to-end commerce media network solution in August (likely 2026) to help retailers set up or upgrade networks.

LoopMe’s 9th patent recognizes real-time AI control groups for brand lift measurement

The latest patent in LoopMe’s ever-expanding IP portfolio covers RISA (Residual Index Selection Algorithm), the AI behind the real-time control groups used in LoopMe’s brand lift measurement. Released in 2022, RISA builds statistically robust control groups from non-incentivized mobile users, matching each exposed profile with an unexposed one that shares 50+ characteristics.

LoopMe expands PurchaseLoop to turn brand campaign signals into measurable lower-funnel performance

New capabilities use live brand campaign signals and in-app behavioral data to optimize toward app installs, web acquisitions and ROAS. London, New York and Sydney, August 24: LoopMe, the global leader in brand performance, has today announced an expansion of its PurchaseLoop solution with new cost-per-install (CPI) and cost-per-acquisition (CPA) optimization, enabling advertisers to use […]

LoopMe Expands PurchaseLoop for Lower-funnel Performance

LoopMe announced an expansion of its PurchaseLoop solution to add cost-per-install (CPI) and cost-per-acquisition (CPA) optimisation. The update introduces two activation tracks — Performance App (optimises for app installs and post-install actions) and Performance Web (optimises for acquisitions, leads, sign-ups and ROAS) — while continuing to buy on a CPM model and use advertisers' existing measurement stacks (MMPs). PurchaseLoop combines live brand campaign signals with in-app behavioural data from LoopMe’s Chartboost SDK and feeds those signals into AI models to optimise towards advertisers' CPI, CPA and post-install goals.

• LoopMe expanded its PurchaseLoop solution to include CPI and CPA optimisation.
• The expansion adds two activation tracks: Performance App and Performance Web.
• Both activation tracks operate on a CPM buying model and use advertisers' existing measurement (MMPs or conversion tracking).