Why MNTN x WorkMagic

You already know your Performance TV campaigns are working. WorkMagic helps you measure the lift they create, meaning the extra sales your MNTN campaigns bring in beyond what you would have made anyway. That extra amount is your incremental impact, and it's the number that tells you how much your TV spend is really worth.

WorkMagic looks at the sales in areas where your MNTN ads ran and compares them to similar areas where they didn't, and the difference is the lift your campaigns created. With that proof in hand, you can decide with confidence whether to spend more on MNTN, hold steady, or move budget somewhere else.

Say Hello to WorkMagic

Overview

WorkMagic is a marketing science and measurement platform built to take the guesswork out of marketing. It combines incrementality lift testing, attribution, and media mix modeling into one view, using real-world lift tests to calibrate its models so the numbers get sharper over time. It's built for DTC and omnichannel brands measuring performance across channels like social, search, and retail.

Once connected, your MNTN campaign data feeds into WorkMagic so it can measure your Performance TV alongside the rest of your marketing. The results live in WorkMagic, giving you one place to see how TV stacks up and to plan your next move.

How it works:

1. Go to Integrations in your MNTN account and connect to WorkMagic.
2. Add your MNTN Advertiser ID and Reporting API Key in WorkMagic.
3. Create a geo lift test in WorkMagic and copy the control areas it recommends.
4. Exclude those control areas from your MNTN campaign, then let the test run. Your MNTN spend and geo data flows into WorkMagic.

Features

• Prove incremental impact: Run geo-based lift tests to measure the sales your MNTN campaigns drive beyond your baseline.
• Compare TV against your full mix: See how MNTN performs next to your social, search, and display investments, so budget decisions are grounded in real results.
• Calibrate your models: Feed real MNTN lift data into WorkMagic's MMM and attribution models to make future planning more accurate.