Google Ads Performance Max is rolling out significant updates in 2025 to improve advertiser control and transparency. Key features include campaign-level negative keywords (now GA), high-value new customer mode using Customer Match to predict lifetime value (GA), and separate brand exclusions for Search vs Shopping ads for retail feeds. URL contains rules expand to feed campaigns, and upcoming betas allow age-based demographic exclusions and device targeting (computer/mobile/tablet).
On the reporting front, search themes launch with improvements: search terms insights differentiate traffic from keywordless targeting vs. provided themes, and usefulness indicators help optimize themes. Asset group reporting gains segmentation by device, time, etc., and becomes downloadable.
These features address long-standing advertiser requests for more nuanced controls and granular insights, enabling better steering of AI-driven campaigns. Actionable takeaways: (1) Implement negative keywords and high-value new customer mode to refine audience targeting. (2) Leverage separate brand exclusions for Search vs.
Shopping to balance brand protection and visibility. (3) Use URL contains rules for site-specific targeting. (4) Apply for betas to gain exclusion and device targeting.
(5) Utilize enhanced search and asset group reporting to identify incremental value from search themes and optimize asset performance. Ad ops teams should prioritize testing these features to maximize campaign efficiency and ROI.
Influencer marketing drives app growth by building trust and authenticity beyond traditional UA. Budgeting should start with target markets, CPM benchmarks, and a 25% uplift in daily organic installs. Choose creators based on data: audience demographics, recent views, and content alignment. Measure performance with granular attribution links (e.g., AppsFlyer OneLink) to track installs, conversions, and ROI. Avoid vanity metrics; focus on CVR, retention, and long-tail effects. Start with small campaigns to gather benchmarks before scaling.
This guide helps app marketers select a Mobile Measurement Partner (MMP) by covering essential features like privacy-first measurement, unified attribution, fraud protection, and advanced analytics. It emphasizes choosing an MMP that integrates easily, scales with business growth, and provides reliable data for optimizing marketing ROI across teams.
TikTok for Business is rapidly expanding its ad tech stack with AI-powered creative tools, new ad formats, and enhanced measurement. Key updates include the Symphony creative suite with Dreamina Seedance 2.5, the Agentic Hub for AI-managed campaigns, Streaming Ads for subscription growth, and GMV Max for TikTok Shop ROI. New analytics via Market Scope and the Attribution Portfolio promise deeper audience insights and full-funnel measurement. Salesforce CRM integration streamlines lead transfer. A limited-time offer provides up to $1500 in ad credits for new advertisers, incentivizing adoption of these advanced solutions.
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.
Preload campaigns are critical for UA in 2025, offering early brand presence, higher trust, and cost-efficient growth. Key benefits include increased visibility, engagement, and LTV. Practitioners should leverage advanced segmentation, automated recommendations, predictive analytics, extended attribution windows, and incrementality testing. Partnerships with OEMs and platforms like Appnext, Aura, AVOW, Digital Turbine, and InMobi can drive significant results, as seen with Magalu's 100k+ monthly installs and 4x ROAS.
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.
The mobile advertising industry is optimistic heading into 2025, with 80% of marketers expecting the year to be as strong or stronger than 2024. Non-gaming apps are driving growth, with downloads up 12% YoY and IAP revenue increasing 20%+. Marketers are prioritizing profitability and ROAS, with over half reporting more aggressive KPIs. Generative AI is already benefiting creative production and optimization. iOS re-engagement remains underleveraged, and most marketers are still adapting to SKAN. Budgets are increasing, with a focus on ad networks and self-attributing networks.
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.
Google is expanding its measurement suite to turn first-party data into an AI-driven performance engine. Key updates: Da...
Media measurement tools often conflict, making strategy evaluation difficult. In Ads Decoded, Ginny Marvin and John Chen...
Demand Gen campaigns now deliver a 30% average uplift in conversions or conversion value, thanks to hundreds of improvem...
Google Ads is introducing multi-campaign A/B testing for budgets and ROI targets, rolling out in September. This enables...
Merchant Center optimization is critical for holiday ads. Key insights for ad ops leaders: ensure product data is accura...
Google Flow, an AI creative studio, was used by three creative legends to build campaigns for local businesses during Sm...