The Agency Partner Program launched by Moloco addresses a critical pain point for agencies: the need to deliver measurable performance and differentiation in a fragmented advertising landscape. With advertisers moving beyond search and social, agencies are pressured to discover and scale new channels. Moloco's program provides structured education, dedicated support, and direct collaboration with product and go-to-market teams, enabling agencies to integrate Moloco's machine learning and access to the independent app ecosystem into their cross-channel strategies.
Core arguments emphasize that profitable scaling requires diversifying into mobile in-app advertising and Performance CTV. The program includes founding partners across North America, EMEA, LATAM, and APAC, with quotes illustrating tangible outcomes. For example, PMG integrates Moloco into cross-channel planning for stronger performance; Dentsu sees it as a natural step beyond walled gardens; SplitMetrics highlights a D30 ROAS lift on fintech apps; RocketLab uses it to scale user acquisition with premium inventory; and Yaaha combines short video expertise with Moloco's ML for consistent performance. Other partners like Addict Mobile, Admiral Media, and GatherOne emphasize high-quality users and efficient ROI across verticals, while CyberZ stresses AI-driven delivery that maximizes service LTV.
Actionable takeaways for ad ops decision-makers: By certifying as a partner, agencies can differentiate themselves, access premium inventory, and leverage advanced ML optimization. The program's collaborative model enables rapid problem-solving and proactive improvements. For agencies aiming to break out of saturated channels, the program offers a structured path to growth, with proven results in verticals such as fintech, dating, and mobile gaming. The emphasis on joint go-to-market and product collaboration positions partners to better meet client goals for scalable, profitable growth.
What's notable here is less the certification mechanics and more the signal it sends. Moloco is formalizing agency relationships at a moment when performance buyers are actively searching for scale beyond the duopoly. The program's emphasis on education and collaborative go-to-market suggests Moloco sees agencies as a strategic distribution channel, not just a reseller.
This is analogous to what Google and Meta have long done, but with a twist: Moloco's pitch centers on independent app inventory and performance CTV, areas where the walled gardens have less reach. For ad ops professionals, the key implication is that agency partners will now have more structured access to Moloco's machine learning and support, potentially making it easier to test these channels. The inclusion of CTV in the same performance framework is especially worth watching, as it points to a broader shift toward treating TV-like inventory as a direct-response medium.
As signal deprecation continues to pressure attribution, having more channels that run on modeled optimization becomes increasingly valuable. The founding partner list spans regions and verticals, which suggests Moloco is aiming for global consistency in how agencies are trained and supported.
The open internet presents unique challenges for performance advertising: fragmented identity, closed first-price auctions, and non-stationary supply. Moloco's CARA compound architecture tackles this with six integrated technical domains—Campaign Automation, Supply, Ad Recommendations, Bidding, Creative, and Signals—running on a unified ML infrastructure. Key insights for ad ops: the system continuously learns from every interaction, uses knowledge distillation to serve real-time predictions under 10ms latency, and validates improvements through rigorous live experiments. In 2025, 65 validated model updates reduced CPA by 17% and improved ROAS by 27%. The key takeaway: compound AI architectures that connect prediction, bidding, creative, and data can unlock measurable performance gains beyond walled gardens.
Customer lifetime value (LTV) is a critical long-term metric for app success, but most marketers measure it per-device, understating true value by 2-5x. Cross-platform LTV stitches together web, app, CTV, and more, attributing all revenue back to the original acquisition campaign. Key drivers include retention (5% increase boosts profits up to 95%), purchase frequency, average order value, and acquisition quality. To improve LTV, focus on retention, cross-platform adoption, and optimizing acquisition by predicted LTV rather than CPI.
Cross-platform measurement resolves the common problem of fragmented, device-level reporting that inflates ROAS and misallocates budgets. By unifying customer identity across web, mobile, CTV, and other surfaces, marketers gain a single view of LTV and attribution. AppsFlyer provides this via CUID stitching and Product Line grouping, enabling real-time, deduplicated insights without manual BI work. Key benefits include accurate cross-platform ROAS, elimination of duplicate attribution, and reliable data for AI-driven optimization.
TikTok Ads is courting new advertisers with tiered ad credits (spend $100/$500/$1500, get same in credit) plus expert support for the top tier, but credits expire by end of 2023. Decision-makers should note strict eligibility: only self-serve SMB accounts, no agency-created or TikTok Shop accounts, one account per business, and a 30-day spend window. Research from Circana, GroupM/KIKO, and Samba TV indicates TikTok often outperforms traditional attribution models. Salesforce CRM integration and Canva creative tools reduce friction, while quarterly safety reports strengthen brand protection. Overall, incentivized testing, robust measurement, and enhanced integrations make TikTok a viable paid social channel for SMBs.
European finance app installs hit 960M in 2025 but grew only 0.4%. BNPL apps grew 40% while crypto fell 35%, signaling a shift to utility. Neobanks win acquisition; traditional banks win retention (1.5-2x Day 30 rates). Web-to-app drives 41.8% of conversions but most brands can't measure the handoff. Nearly 1 in 2 investment app installs in Western Europe is fraudulent, distorting CPI and ROAS. Winning brands prioritize engagement, fraud detection, and cross-platform measurement.
Marketing attribution is critical for connecting spend to revenue, but platform self-reporting and last-click bias distort budget decisions. Single-touch models (first/last-click) are simple but miss the full journey; multi-touch models (position-based, data-driven) are more accurate but require robust data. Mobile attribution is particularly challenging due to ATT, SKAdNetwork, and cross-platform gaps, necessitating a mobile measurement partner (MMP) for independent, deduplicated measurement. Clean attribution data is essential for AI-driven optimization—bad signals lead to bad decisions. Starting with position-based attribution and incrementality testing provides a practical foundation.
Data collaboration platforms are consolidating under ad-centric owners, threatening measurement neutrality. Publicis bought LiveRamp, WPP acquired InfoSum, and LiveRamp absorbed Habu, leaving AppsFlyer as the only major independent player. Brands must vet partners for conflicts: does the platform or its parent benefit from ad spend? Without independence, budget allocation and ROAS calculations may reflect agency incentives over actual performance. Key questions: revenue from ads, cross-channel attribution consistency, data governance, and auditable methodology.
AI is reshaping consumer behavior, with 80% of Google searches ending without a click and half of consumers using AI for product research. This disrupts traditional channels like search (CPC up 10-25%) and affiliate marketing (revenues down 7%). Meanwhile, mobile apps and CTV offer stable, high-engagement alternatives. Advertisers should diversify away from disrupted channels, targeting the independent app ecosystem where Day 30 ROAS can be 116% higher. Key metrics: organic direct traffic share (target >51%) and disrupted channel spend share (target <34%).
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