INCRMNTAL and Appsflyer:
A Guide for 2026

Choosing a marketing measurement partner feels a lot like navigating a map where every signs is written in a different languages. Every platform promises a single source of truth, yet marketers find themselves with more dashboards and less confidence than ever before. This isn't a failure of technology; it's a fundamental misunderstanding of what we should be measuring.

This guide cuts through the noise. We'll explore two well-known platforms in the marketing analytics space, INCRMNTAL and Appsflyer, by examining their core philosophies. One is a pillar of the mobile marketing world, and the other represents the future of strategic measurement.

Understanding Appsflyer: The Attribution Record-Keeper

Appsflyer is a dominant Mobile Measurement Partner (MMP). For years, its primary function has been to act as a traffic cop for mobile app installs, connecting a user's click on an ad to their eventual action in an app. It answers the question, "Which ad did the user touch last before they converted?"

This model, built on user-level tracking and last-click attribution, was the industry standard for over a decade. It provided a sense of precision, assigning 100% of the credit to the last touchpoint in a complex user journey. It was neat, tidy, and easy to put on a spreadsheet.

However, the uncomfortable truth is that this method of measurement was never a measure of value. It was a measure of sequence. The problem wasn't that privacy updates broke marketing measurement; the reality is that it was broken to begin with. It mistook correlation for causation, rewarding channels that were good at harvesting intent, not creating it.

Appsflyer excels at its operational role: facilitating deep links, managing SDKs, and providing a central ledger for campaign activity. Last-touch attribution is often an undisputed fact (i.e. this ad was the ad the user-touched last) – but to claim this answers the “why this user converted?” – well, that is a stretch…

Understanding INCRMNTAL: The Causal Attribution Platform

INCRMNTAL operates from a completely different premise. We believe most marketing measurement today is confidently wrong because it focuses on assigning credit rather than measuring impact. The question we ask is not "Who touched the user last?" but "What actually changed because this marketing campaign ran?"

This is the essence of incrementality measurement. INCRMNTAL is an always-on incrementality platform that uses causal AI to determine the true, incremental contribution of your marketing activities. It measures the results that would not have happened without that specific marketing spend.

Instead of relying on user-level data, our platform uses aggregate data and advanced AI modeling. It’s built for a world where privacy is a permanent reality, not a temporary obstacle. We run continuous, automated experiments to deliver clarity, not just data.

The goal isn't another complex dashboard that requires a team of analysts to decipher. The goal is to provide clear, defensible answers that you can trust.

We provide clarity on what to scale, what to cut, and which channels are truly driving growth versus just telling a good story. That’s the power of causal attribution.

Core Distinctions: Appsflyer vs. Incrmntal

While both platforms help companies, their methodologies and the questions they answer are fundamentally different. Thinking of them as interchangeable is a common but critical mistake.

Appsflyer: The Operational Hub

• Methodology: Primarily focused on user-level attribution models (last-touch, multi-touch). It follows the user journey to assign credit for conversions.
• Core Question: “Which channel or campaign was the last touchpoint before a user converted?”
• Data Dependency: Relies heavily on user-level identifiers (IP, IDFA, GAID).
• Output: Reports on installs, LTV, and engagement tied to specific campaigns based on attribution rules. It is a system of record for activity.

INCRMNTAL: The Strategic Growth Engine

• Methodology: AI causal attribution and always-on incrementality measurement. It uses aggregate data and counterfactual analysis to measure true lift.
• Core Question: “How many of our conversions were genuinely caused by this marketing activity, and would not have occurred otherwise?”
• Data Dependency: Privacy-by-design, using aggregated campaign and conversion data. It does not require user-level data.
• Output: Insights into the incremental contribution of each campaign (iROAS, Marginal CPI), enabling budget allocation and identifying wasted spend.

Despite the differences, INCRMNTAL and Appsflyer do share some common ground as they both exist within the marketing technology ecosystem.

• Goal of Optimization: Both platforms ultimately serve the goal of helping marketers make better decisions to optimize their ad spend and achieve business objectives.
• Performance Focus: Their primary users are performance and growth marketers running campaigns across various channels, from mobile, to CTV and beyond.
• Data Integration: Both platforms are designed to integrate with a company's data stack.

Why Marketers Need Both a Causal Platform and an MMP

The modern marketing team doesn't face an "either/or" choice. Instead, they need to layer their measurement stack, using the right tool for the right job.

• Appsflyer tells you what your campaigns did. It’s the operational backbone for tracking links, clicks, and installs.
• INCRMNTAL tells you what your campaigns achieved. It’s the strategic brain that measures the true, causal impact on your bottom line.

Relying solely on an MMP for strategic decisions is like driving a car by only looking in the rearview mirror. It tells you where you've been but offers no predictive insight into the road ahead. By adding an incrementality platform, marketing stops being judged as a cost center and starts proving its value as a growth engine. Decisions become faster, conversations with finance become easier, and marketing leaders regain their credibility. If you want to stop guessing and start knowing your true impact, you need both.