Every ad dollar. Every conversion. Accounted for.
Deterministic, people-based measurement across every channel you spend on — with fraud detection built into the data layer and Ivy AI surfacing the insights your team would take weeks to find. One platform across all your teams.
Trusted by 100,000+ companies including Airbnb, PUMA, Credit Karma, and Instacart.
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Data encrypted. ISO 27001 Certified.
Lost to mobile ad fraud in 2025.
Of paid conversions miscredited by last-click attribution.
Of growth marketers can’t reconcile ad network numbers with their MMP.
MEASUREMENT THE WORLD’S GROWTH TEAMS TRUST
THE ATTRIBUTION PROBLEM
Your ROAS report and your ad network’s dashboard don’t agree. Neither one is right.
Monday morning. You pull Meta’s numbers, then Google’s, then your MMP’s — three different conversion totals for the same campaign. Your finance partner asks which to book. You pick the one that makes the quarter look best, then quietly adjust next month’s budget based on signals you can’t fully defend. Every performance marketer has had this conversation. Most still can’t fix it.
Self-scoring networks
The ad networks spending your budget are also the ones grading their own performance. Double-counting is the rule, not the exception. Budget flows to whoever claims the loudest credit.
SDK sprawl, no single source of truth
Four attribution SDKs, three analytics tools, one data warehouse — none agree. Your engineers spend sprints reconciling what should already be reconciled. The CFO sees four different ROAS numbers for one campaign.
Probabilistic guesses in place of signal
iOS gutted device-level identifiers. The industry’s answer was modeled, probabilistic attribution — which sounds like math but is a guess nobody can audit. You’re optimizing spend against signals you can’t explain to leadership.
LEGACY MMP vs. BRANCH
Measurement built for growth, not for the networks spending your money.
Most MMPs were built on infrastructure their ad-network parent companies now own. Branch wasn’t. We’re independent, deterministic, and built from deep linking up.
Legacy MMP
- Owned by an ad network. The company grading your campaigns is the company selling you inventory.
- Optimizes to installs. You’re reporting on install counts while your CFO asks about revenue.
- An SDK per channel. Engineering drains on stitching, none of the SDKs agree with each other.
- Probabilistic models. Modeled attribution that’s hard to defend and impossible to audit.
- Fraud detection sold separately. Bolted on as a line item, not integrated into the data layer.
- MAU-based pricing. Scale your campaigns and your measurement bill punishes you for the win.
Branch
- Independent. Not owned by any ad network. Neutral measurement across every channel.
- Optimizes to revenue. Install → onboarding → transaction, attributed deterministically in one path.
- One SDK. One data model across web, app, and CTV. One source of truth for every team.
- Deterministic people-based attribution. Cross-device, cross-session, auditable. No modeled guesses.
- Fraud detection built in. Filtered at the data layer, before the signal reaches your optimization engine.
- Predictable pricing. Scale your campaigns without worrying about your measurement bill.
HOW BRANCH WORKS
From click to conversion, measured deterministically.
One integration. Every channel you spend on. Every conversion you care about — attributed to the campaign that actually drove it.
Integrate once
One SDK for web, app, and CTV. Live in hours, not months. 2,000+ partner integrations out of the box.
Measure everything
Every touchpoint — paid, owned, earned — tied to the user and the outcome. People-based, not device-based.
Filter the noise
Fraud detection built into the data layer. Bots, click injection, install farms filtered before the signal hits your bidder.
Act with Ivy AI
Ivy surfaces insights in minutes, automates link creation, and gives your team the answers that used to take a week.
What this means for your growth engine.
Click fraud detection — built in
Dedicated fraud engine detects bots, click injection, install hijacking, and AI-driven fraud patterns. Filtered at the data layer, before bad signal reaches your optimization. Not a bolt-on line item — part of core measurement.
iOS PAM + SKAN clarity
Privacy-Aware Measurement bridges what SKAN gives you and what you actually need — post-install event visibility, campaign-level granularity, real-time data. Built for the post-ATT world.
People-based, cross-device attribution
Stitch user identity across devices, platforms, and sessions deterministically. Not probabilistic guesses — auditable attribution your finance team can sign off on.
Cross-channel coverage
Meta, Google, TikTok, Apple Search Ads, OEM, CTV, programmatic, owned media, referral — measured at parity from one dashboard. No channel gets to self-grade.
Ivy — your growth team’s AI layer
Ivy answers attribution questions in natural language, creates links in seconds, flags anomalies before they hit your dashboard, and surfaces insights your team wouldn’t find manually.
Data Feeds + warehouse delivery
Raw event data piped to your CDP or warehouse via scheduled log exports. Full schema control, no black box. Your data, your models, your decisions.
CLICK FRAUD DETECTION
Ad fraud doesn’t need another dashboard. It needs to be filtered before it hits yours.
Every paid campaign is a target. Bots, click injection, install farms, SDK spoofing, and AI-generated fraud patterns are designed to look like real users — and legacy MMPs often let them through because detection is sold as a separate add-on running downstream of the data.
Branch’s fraud engine sits inside the measurement layer. Suspicious signal is scored, flagged, and removed before it ever reaches your bidder or your reporting. Your ROAS numbers reflect actual humans taking actual actions. Your optimization engine stops rewarding fraudsters.
What Branch filters before your data sees it:
- Click injection and click spamming
- Install hijacking and SDK spoofing
- Bot-driven traffic and AI-generated fraud patterns
- Click-to-install time anomalies
- Device farm signatures and emulator fingerprints
- Suspicious conversion velocity patterns
Projected global mobile ad fraud losses in 2025. Most of it invisible to marketers until after budget is spent.
Average share of paid installs flagged as fraudulent across Branch-monitored campaigns.
Higher ROAS accuracy when fraud is filtered at the data layer vs. downstream reporting.
USE CASES
Every channel your team spends on, measured to revenue.
Branch sits above your media mix — not inside any single network. Which means every channel gets measured on the same data model, against the same revenue outcomes, with the same fraud protection.
01 — PAID SOCIAL
Meta, TikTok, Snap, Reddit
Reconcile the difference between what each network claims and what your MMP sees. Optimize bids against deterministic in-app events, not self-reported install counts.
→ Average 31% ROAS lift after reconciliation02 — PAID SEARCH
Google Ads, Apple Search Ads
Close the loop from keyword click to in-app revenue event. People-based attribution captures the mobile journey Search-level MMPs can’t follow.
→ Direct campaign-to-LTV visibility03 — OEM + CTV
Samsung, Xiaomi, Roku, Amazon Fire
Measure off-platform channels at parity with the big networks. CTV impressions and OEM inventory tied to app conversions from one dashboard.
→ Unlock non-SAN channel investment04 — OWNED: EMAIL & SMS
Lifecycle and re-engagement
Deep link every email and SMS directly into the right in-app screen. People-based attribution connects send → open → app event → revenue, even across devices.
→ 65% less drop-off on re-engagement05 — RETAIL MEDIA
Amazon, Instacart, Target Roundel
Connect retail media ad exposure to app conversions and in-store purchase. Close the online-to-offline measurement gap commerce media networks create.
→ Cross-channel commerce ROAS06 — ORGANIC + REFERRAL
SEO, social shares, word-of-mouth
Attribute the “dark traffic” most MMPs drop into an unknown bucket. Capture the contribution of earned channels that paid-first attribution tools ignore.
→ Credit earned channels properlyENTERPRISE COMPLIANCE
Built for the privacy and audit demands of enterprise growth teams.
SOC 2 Type II & ISO 27001
Independently audited security controls across data handling, access management, and platform operations.
HIPAA-ready
BAA-available deployment for healthcare, medical, and regulated health-adjacent apps.
GDPR & CCPA ready
Consent-aware data collection, regional data residency, and DSAR tooling for global compliance teams.
If your measurement is owned by the channel spending your money, it isn’t measurement — it’s marketing.
TRUSTED AT SCALE
The measurement layer behind 100,000+ mobile growth engines.
Users reached worldwide.
Companies measuring on Branch — from Fortune 500 to high-growth startups.
Integrations with the ad networks, CDPs, and warehouses your stack already runs on.
MEASUREMENT YOUR FINANCE TEAM CAN DEFEND
See your real channel performance in 30 minutes.
Book a demo. We’ll show you what your ROAS numbers look like when the networks aren’t grading their own work.