Nearly 40% of marketers struggle to connect MMM outputs to business decisions. Meridian's new Scenario Planner offers a user-friendly interface for experimenting with budget scenarios and viewing real-time ROI estimates without coding. It transforms analytics from a backward-looking review to a collaborative planning tool, making measurement insights accessible to decision makers and data scientists alike.
What's notable here is how Meridian's Scenario Planner directly addresses a persistent friction point: the translation of MMM outputs into actionable budget decisions. For years, MMM has been the gold standard for measuring marketing effectiveness at scale, but its complexity often confined insights to analytics teams, leaving UA managers and monetization strategists without timely, intuitive tools to adjust spend. This launch signals a broader industry shift toward democratizing measurement science—making advanced econometric modeling accessible to non-technical stakeholders through user-friendly interfaces.
The timing is strategic: as privacy regulations erode deterministic attribution, MMM is increasingly essential, but its adoption has been hampered by the very gap Scenario Planner targets. By enabling real-time scenario testing without coding, Meridian positions itself as both a technical and collaborative platform, potentially raising the bar for open-source MMM tools. For ad ops professionals, the key implication is a more direct line between model outputs and campaign execution, reducing reliance on one-off analyses or static reports.
This could reshape how teams approach budget optimization, moving from retrospective review to iterative, data-driven planning—a shift that aligns with the industry's push for agile, privacy-resilient measurement.
AppsFlyer MCP connects Claude directly to live attribution data, replacing manual reporting and CSV exports. Gaming teams catch budget anomalies overnight, finance teams compress multi-hour analysis into minutes, and e-commerce teams close the gap between measurement and spend decisions. Setup takes under 60 seconds, enabling real-time queries on channels, cohorts, and ROAS. The key insight is that AI-powered analysis requires live data connections, not stale exports.
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.
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.
One person built, shipped, and marketed a mobile game in 14 days using AI tools, achieving 5,563 installs at $0.39 eCPI on $2,200 spend. MCPs (Model Context Protocol) were critical for agentic workflows. The AI agent CLAW managed ad campaigns via AppsFlyer MCP and BigQuery. Data Locker streamed raw data for analysis. Key takeaway: vendors must offer MCPs for fast, agentic data access; measurement stack (Data Locker, ROI 360, Creative Optimization) is essential for solo teams; human+AI beats AI alone.
Remarketing measurement relying solely on clicks misses view-through attributions, cross-platform journeys, and fraud, leading to misallocated budget and eroded efficiency. AppsFlyer advocates for independent, cross-channel, fraud-protected signals to unify attribution, deduplicate claims, and provide real-time postbacks for better optimization. Key data points include 50% higher paying user share for shopping apps running remarketing, 20% higher ROAS for gaming teams with unified attribution, and vulnerability to click flooding. Actionable takeaway: invest in a robust measurement foundation to capture true campaign influence and scale efficiently.
Incrementality must shift from an analytical concept to an operating practice that shapes planning, budgets, and decisions. Leaders at Uber, HelloFresh, and Havas Media emphasize cultural change, cross-functional alignment, and embedding insights into processes. They use incrementality for fast trade-offs, invest in rigor with stakeholder buy-in, and treat operationalization as the real work. Calibration with experiments like Meta's Conversion Lift creates a feedback loop for accurate measurement. The result: faster decisions, confident investment, and marketing as a revenue driver.
Meta introduces the Holiday Insights Center, offering data-driven strategies for small businesses to maximize holiday sales. Key insights: 85% of shoppers buy in-store after seeing products on social media; 59% message businesses during holidays; AI adoption is rising among shoppers and can streamline operations; 94% of shoppers use creator content for guidance. Advertising ROI is strong: $4 back per $1 spent. Actionable steps include optimizing social profiles, enabling messaging tools, leveraging AI, collaborating with creators, and updating data setups like Meta Pixel and Conversions API. The free Holiday Playbook provides step-by-step guidance.
TikTok's Attribution Portfolio introduces first- and last-touch measurement tools to capture TikTok's full impact on conversions, addressing undervaluation from last-click models. Key updates include Assisted Conversion (showing 1 in 4 conversions assisted by TikTok), upgraded Attribution Analytics with a centralized overview, and third-party integration with Google Analytics (boosting conversions 54% and decreasing CPA 27%). Advertisers gain insights into the full conversion journey, enabling better optimization and reporting.
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