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Hazel for Podscribe: the AI coworker for your podcast attribution

Hazel reads your full Podscribe history (campaign performance, conversions, show and episode impressions, creative, device, and incrementality reads) and answers business questions in plain English. No dashboards to build.

June 12, 2026

Hazel answering a Podscribe podcast attribution question

Hazel is an AI coworker that connects to your Podscribe account and answers business questions about your podcast, streaming, and CTV ad performance the way an analyst would. Once connected, Hazel ingests your Podscribe campaign performance, individual conversions, show and episode impressions, creative and device breakdowns, and incrementality reads, then refreshes daily. Podscribe measures which shows, episodes, and creatives drive impressions, conversions, and incremental lift across podcast, YouTube, and CTV. Hazel takes that measurement data, joins it to your Shopify orders, and answers the questions that span both. Ask Hazel which shows drove the most new customers, the ROAS on a given publisher, whether a podcast campaign produced real incremental lift, or how Podscribe-attributed revenue reconciles against Shopify new-customer revenue, and you get an answer with the numbers behind it. Hazel pairs your Podscribe data with Shopify, Meta Ads, Google Ads, and your other sources, so cross-source questions about podcast spend versus actual revenue are a single prompt.

What Hazel does

Hazel reads the Podscribe data that matters for analyzing a consumer brand's podcast, streaming, and CTV advertising and lets you query it conversationally:

  • Campaign performance: spend, CPM, impressions (including 7, 15, 30, 45, and 60-day impression windows), reach, frequency, clicks, visitors, installs, leads, signups, revenue, ROAS, CPA, and podcast downloads, broken out by publisher, show, podcast, geo, and category
  • Conversions: individual conversions with order ID, purchase amount, currency, discount code, country, the show the listener last heard, the episode, the last-heard ad, new-customer flag, and attribution weighting
  • Show and episode impressions: impressions by show, episode, and day, with podcast, YouTube, Rumble, and Spotify-video breakdowns so you can see where exposure actually happened
  • Creative performance: results by ad creative, so you can tell which read or spot is working across your shows
  • Device performance: results by device, for the streaming and CTV side of your buy
  • Incrementality: control versus test group counts and sizes, lift, incremental conversions, and confidence intervals, so you can separate ads that caused conversions from conversions that would have happened anyway
  • Estimated spend: daily estimated spend and estimated spend by show by day, so spend reconciles even where reporting lags

Hazel keeps the full historical record, so multi-quarter ROAS trends and show-level comparisons over time are one prompt.

Real questions, real answers

These are the kinds of questions Hazel answers about your Podscribe data:

  • "which shows drove the most new customers in the last 90 days?"
  • "spend vs revenue and ROAS by show this quarter, sorted by ROAS"
  • "did our podcast campaign produce real incremental lift? show the test vs control and the confidence interval"
  • "what's the new-customer rate by show, and which shows skew toward repeat buyers?"
  • "how many conversions came in on each promo code, and which show was last heard?"
  • "reconcile Podscribe-attributed revenue against Shopify new-customer revenue for the same period"
  • "compare CTV vs podcast vs YouTube performance on spend, conversions, and CPA"
  • "which episodes had the highest impressions but the lowest conversions?"
How your data flows
How Podscribe data flows through Hazel
How it works

How Hazel connects to Podscribe. Hazel connects to Podscribe through Podscribe's data API using credentials you authorize. There is no manual export or CSV step. Once the connection is authorized, Hazel begins ingesting your campaign performance, conversions, impressions, creative, device, and incrementality data.

What syncs. Campaign performance (spend, CPM, impressions and their windows, reach, frequency, clicks, visitors, installs, leads, signups, revenue, ROAS, CPA, downloads), individual conversions, show and episode impressions across podcast, YouTube, Rumble, and Spotify-video, creative and device breakdowns, incrementality reads, and estimated spend. Hazel keeps the full historical record going forward.

How often. Daily.

Reconcile Podscribe against Shopify-truth. Podscribe-attributed revenue reflects what Podscribe's attribution model credits to a show or episode, not the orders that actually settled in your store. When Hazel is connected to both Podscribe and Shopify, it joins Podscribe conversions to Shopify orders so you can see which shows and episodes drove real new customers and revenue, and validate podcast attribution against Shopify-truth in the same prompt.

Auth. Authorized via the credentials you provide for Podscribe's data API. Hazel only reads your data; it never writes back to Podscribe.

MCP access

Looking for a Podscribe MCP for analytics? Podscribe ships its own data API for pulling campaign, conversion, impression, and incrementality data out of the platform. That API is the right tool if you want to move your Podscribe data into your own warehouse or build your own reporting pipeline.

Hazel is the analytics layer that already ingested your Podscribe data. Rather than wiring an LLM to Podscribe's API and writing the analysis logic yourself, Hazel ingests your Podscribe data into an analytical store, joins it with your Shopify orders, Meta Ads spend, Google Ads performance, and any other source you've connected, and gives your team a single conversational interface for business questions. No MCP setup to manage, no per-prompt schema discovery, and the same agent that answers "which shows drove the most new customers?" can also answer "how does Podscribe-attributed revenue reconcile against Shopify new-customer revenue this quarter?"

Hazel MCP. Hazel also exposes its own MCP endpoint, so your team can connect Claude, ChatGPT, or any MCP-compatible agent directly to Hazel's analytical store. Book a call to set it up.

Frequently asked questions

Does Hazel work with Podscribe?

Yes. Authorize Hazel with your Podscribe credentials and it starts ingesting your campaign performance, conversions, show and episode impressions, creative and device breakdowns, and incrementality reads.

How is Hazel different from Spotify Ad Analytics, Chartable, or Magellan AI?

Those are podcast measurement and attribution tools. The value is in their measurement model. Hazel is not a measurement vendor. It's the AI coworker that reads your Podscribe data alongside Shopify and your other ad platforms, so the same agent answers podcast questions, Shopify questions, and the cross-source questions that span both. You don't learn a dashboard or define metrics in advance. You ask, and Hazel works it the way an analyst would.

How often does Hazel pull data from Podscribe?

Daily.

Will Hazel write data back to my Podscribe account?

No. Hazel only reads. It never writes to your Podscribe campaigns, conversions, or settings.

Can Hazel measure podcast incrementality?

Yes. Hazel reads Podscribe's incrementality data, including control and test group counts and sizes, lift, incremental conversions, and confidence intervals, so you can separate ads that caused conversions from conversions that would have happened anyway.

Can Hazel tell me which shows and episodes drive new customers?

Yes. Podscribe conversions carry the show last heard, the episode, the last-heard ad, and a new-customer flag. Hazel rolls those up so you can rank shows and episodes by new customers, revenue, and ROAS.

Can Hazel compare podcast, YouTube, and CTV performance?

Yes. Podscribe breaks impressions out across podcast, YouTube, Rumble, and Spotify-video, with device-level results for the streaming and CTV side. Hazel keeps those breakdowns so you can compare channels on spend, conversions, and CPA in one prompt.

Can Hazel reconcile Podscribe-attributed revenue with actual Shopify revenue?

Yes. When Hazel is connected to both Podscribe and Shopify, it joins Podscribe conversions to Shopify orders so you can compare podcast-attributed revenue against the orders that actually settled in your store.

Is my Podscribe data safe with Hazel?

Hazel connects with read-only access using the credentials you authorize. It never writes back to Podscribe. Your data is encrypted in transit and at rest, and Hazel does not share your data with other customers or use it for model training.

How much does Hazel cost?

Hazel is a flat annual fee with unlimited seats and unlimited connectors, no per-seat or per-source pricing. Pricing details.

How do I get started?

Book a call and we'll walk through your data, the questions you want to answer, and what the rollout looks like.