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.
Cross-channel marketing analytics isn't about putting Meta, Google, and TikTok numbers side by side—they often double-count the same customer journey. Fragmented identity is the real culprit; without a first-party Customer User ID, attribution measures platform credit, not customer value. The article explains that deduplicating conversions across mobile, web, and CTV can lift attributed revenue by 30–60% and improve ROAS by 20%. It walks through attribution models, warns against platform-native analytics, and advises using an independent MMP for true cross-channel measurement. Ad ops takeaway: fix identity resolution first, because AI-driven optimization and budget allocation depend on trustworthy, deduplicated data.
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.
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.
TikTok for Business is promoting tiered first-30-day ad credit incentives for new self-serve SMB advertisers: spend $100 get $100, $500 get $500, or $1,500 get $1,500 plus 1-to-1 expert onboarding support, with a headline entry offer of 50% off first-month spend up to $200 and matching credits up to $6,000. Credits are applied within 7 days of hitting the highest threshold or after the 30-day accumulation window. Eligibility excludes agency, Business Center, and TikTok Shop accounts, and limits one ad account per new TikTok For Business account. For ad ops teams, these terms dictate budget pacing, account structure, and credit-expiry planning.
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.
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%).
TikTok is offering new advertisers up to $6,000 in ad credits through a tiered spend incentive ($100/$500/$1500) that includes 1-to-1 expert support at the top tier. However, eligibility is restricted to new SMB self-serve accounts, and credits expire. Alongside the offer, TikTok has rolled out several ad tech innovations—Symphony AI creative suite, Streaming Ads, Agentic Hub, Market Scope, and new MMM data—that provide actionable opportunities for testing and scaling performance. Ad ops teams should review eligibility criteria carefully and consider leveraging these tools to maximize ROI during the promotional window.
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