


We’re excited to announce our newest integration—Vibe x Supermetrics—bringing Connected TV (CTV) campaign performance data directly into Google Sheets, Excel, Looker Studio, Power BI, or your data warehouse.
Why This Matters
CTV is a fast-growing, high-performing channel—but measuring its performance in context with your full marketing funnel hasn't always been easy. With Supermetrics, that changes.
This integration gives marketers direct, real-time access to Vibe campaign data (like spend, impressions, and more) inside reporting tools they already rely on—Google Sheets, Looker Studio, Power BI, data warehouse and beyond.
Supermetrics is the leading marketing intelligence platform, trusted by 200,000 brands and agencies in 120 countries to centralize and activate their marketing data. Now, Vibe data joins that ecosystem—meaning you can:
This partnership brings CTV into your core analytics stack, eliminating silos and simplifying how marketers measure impact. No more exporting CSVs or chasing down last-minute screenshots. Just real-time CTV insights alongside the rest of your marketing performance.
Vibe x Supermetrics gives advertisers and performance marketers the tools to:
We’re building the most connected CTV platform—and our integration with Supermetrics is another step forward in helping marketers bring CTV into the same data conversation as every other channel.
Ready to connect your Vibe data?
Explore the Supermetrics integration here.


Sync Omnisend segments to Vibe and run them as Streaming TV audiences.
Run CTV campaigns from your terminal or coding agent with Vibe CLI. Query performance, launch campaigns, and script the repetitive work. Live now.
Vibe now connects to Stella, so performance marketers can measure CTV with causal proof, not guesswork.
Send custom voter and consumer audiences from L2 straight into Vibe and run them on connected TV - no exports, no manual handoff.
See how Vibe's growth team used Vibe's API to launch 250 personalized CTV campaigns in under 15 minutes - and what it means for scaling ad ops.

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