The core argument is that attribution remains essential for conversion understanding and real-time AI optimization, but it is not enough as spend spreads across mobile apps, CTV, and other channels. Marketers need independent incrementality measurement to determine whether a channel creates new growth or merely captures conversions that would have happened anyway. Moloco is partnering with Haus to provide third-party, geo-based incrementality studies for Moloco mobile app and performance CTV campaigns.
In practice, Moloco campaigns run in test markets while comparable control markets are held out; the difference in outcomes between test and control reveals true incremental lift - the conversions or revenue attributable to Moloco. This gives ad ops and growth teams an independently verified read on incremental contribution. The partnership reflects Moloco's stated measurement approach: transparent, outcome-oriented, and aligned to advertiser goals.
No specific lift percentages or spend figures are disclosed, but Moloco cites strong results in CTV and years of mobile performance. Quotes from Beth Berger, GM Americas at Moloco, and Jinesh Ramani, VP Partnerships at Haus, emphasize confidence through independent verification and expanded access to rigorous measurement and decisioning systems. The article positions attribution and incrementality as complementary: attribution provides granular, real-time signals for optimization, while incrementality validates causal impact and channel-level growth.
For ad ops decision-makers, the actionable takeaways are: add geo-based incrementality testing to validate channel contribution beyond attribution; use test/control holdouts to support budget reallocation and incremental ROI decisions; expect independent measurement to strengthen AI optimization feedback loops; and align measurement with business goals. These studies help reduce wasted spend by identifying channels that are not driving lift. To start, existing Moloco partners should contact their Moloco representative about incrementality testing with Haus.
Marketers new to Moloco can contact Moloco's team to begin. This partnership matters for mobile and CTV advertisers seeking causal proof of performance.
The key implication here isn't that incrementality is new — geo-based holdouts have been a standard methodology for years. It's that a performance platform is inviting a third party to grade its own homework in a category where that remains the exception rather than the rule. Haus has carved out a niche as a neutral arbiter across walled gardens, and Moloco extending that access to both mobile UA and performance CTV signals confidence — while raising the bar for competitors that still route lift measurement through proprietary dashboards or restrict studies to their own tooling.
What's notable is how this lands on CTV specifically. The channel has historically borrowed mobile's attribution assumptions despite fundamentally different consumption patterns, and rapid spend growth has made that gap harder to ignore. Geo holdouts also sidestep the identifier loss that has degraded deterministic attribution elsewhere, which is likely why the incrementality category keeps gaining ground as privacy-driven signal erosion continues.
The practical takeaway for UA and ad ops teams is structural: incrementality reads sit alongside attribution, not in place of it. Attribution still feeds real-time optimization; holdouts validate whether that optimization reflects genuine growth. Budget decisions increasingly lean on both. Worth watching is whether independent measurement becomes table stakes or stays a differentiator.
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.
Moloco's new Agency Partner Program helps agencies drive profitable performance via Moloco Ads, with education, dedicated support, and collaboration across mobile in-app and CTV. For ad ops decision-makers, the key insight is the ability to break beyond walled gardens and leverage machine learning to unlock incremental growth. Founding partners across global regions gain access to new inventory, optimization expertise, and closer product integration. This enables measurable, scalable results, as evidenced by partners citing D30 ROAS lifts and high-value user acquisition. Ad ops teams should evaluate the program as a strategic lever to differentiate their offerings and diversify media channels.
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.
Incrementality testing complements attribution by quantifying the causal impact of marketing spend. For ad ops decision-makers, key insights: match the metric to the business decision—installs for acquisition, revenue for ROAS. Interpret results by checking incremental effect, statistical significance, and organic cannibalization. Use these to guide budget: increase spend when incrementality is significant and exceeds targets; maintain when stable; reduce or reallocate when lift is low or cannibalization occurs. Never mix metrics from different test types.
Moloco has unveiled a next-generation brand built around a three-circle "lens" mark, replacing an identity that no longer matched its scale. The strategic signal for ad ops leaders: the company now claims daily reach of over two billion people across more than 2.9 million independent apps, spanning mobile apps, connected TV, retail, and marketplaces. The lens is a deliberate metaphor for CARA (Compound Ad Recommendation Architecture), which narrows scattered user, publisher, advertiser, and creative signals into a single bid decision. The takeaway is positioning, not product: Moloco is staking its identity on open-internet performance, transparency over the "black box" framing, and a design system built to scale across research, data visualization, product UI, and seven languages.
Snapchat Unified Attribution is now officially available to Adjust customers, marking a shift from platform-only reporting to real-time optimization driven by MMP conversion signals. This capability minimizes discrepancies between Snapchat's reported metrics and cross-channel MMP data, letting ad operations teams act on trusted, unified data for budget allocation and campaign delivery. Advertisers can now optimize for real-time MMP signals, scale spending with greater confidence, and evaluate Snapchat's contribution to business outcomes within the same measurement framework as other channels. To maximize benefit, ad ops decision-makers should verify their Adjust event mapping and conversion event reporting are accurate, ensuring Snapchat's optimization aligns with existing measurement standards.
Moloco has unveiled a next-generation brand built around a three-circle "lens" mark, replacing an identity that no longe...
Moloco's new Agency Partner Program helps agencies drive profitable performance via Moloco Ads, with education, dedicate...
The open internet presents unique challenges for performance advertising: fragmented identity, closed first-price auctio...
AI is reshaping discovery, with web traffic declining sharply in information-heavy industries (news -26%, education -22%...
Sports publishers face unique monetization challenges due to event-driven traffic spikes. AI-native SDKs like Moloco opt...
AI is reshaping consumer behavior, with 80% of Google searches ending without a click and half of consumers using AI for...