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Measuring a branded series

MeasurementReleased Updated Runtime 4 min

Measure a branded series on two things. The first is attention: watch time, the share of each episode people watch, and whether they come back for the next one. The second is the effect on the brand, measured with a lift study that sets people who saw the series against a matched group who did not. Views and downloads count how many people pressed play and cannot show whether the series worked. A series also needs at least 90 days before it can be read in full.

Tweezers and a craft knife stack tiny numbered flipbook pages of a dancing figure on a light box
Frame grab: Andymation / YouTube

Agree the measures before anything is shot

A lift study needs a control group, which has to be planned before the series runs. Reading dates, the metrics that count and the questions in the survey all belong in the measurement plan, which we agree with the brand in development and treat as one of the things the brand approves.

This is also where the series meets the rest of the brand's measurement. If the finance team already reads marketing through a media mix model, or the brand tracks brand-name searches and direct visits each week, the plan says how the series will show up in those numbers and when.

Attention: how much of the series people watch

On YouTube, the useful attention metrics are watch time, average view duration, average percentage viewed, returning viewers and the number of episodes each viewer watches. Together they show whether the format holds people and whether the season builds an audience. A first episode with high views and a sharp drop in average percentage viewed says the premise attracted people and the episode lost them, which is a different problem from an episode few people found.

For audio, the equivalent is consumption: the share of each episode listeners hear. Pacific Content, a branded podcast studio, argues that consumption matters more than downloads for branded shows (Pacific Content, April 11, 2019). Downloads say less than they seem to: a download is a file sent, and it cannot show whether anyone pressed play.

Brand lift: what people think afterwards

Google's Brand Lift puts survey questions to two groups: people who saw the content, and people who could have seen it and did not. Their answers differ, and that difference is the lift in ad recall, awareness, consideration and similar brand measures (Google Ads Help). For a series promoted with paid seeding, this is the most direct read on whether it changed what people think of the brand.

Most brands do not measure creator work this way yet. IAB put its 2025 survey to 453 buyers, and ad platform reporting (55%) and first-party analytics (49%) led their tools for creator marketing. Brand lift surveys came to 34% and media mix modeling to 29%, and 39% named proving ROI as the hardest part (IAB, November 2025). For a brand-building series, a lift study is the most direct way to meet that challenge, which is why we plan one into each.

Incrementality and conversions

If the series is also expected to drive sales or sign-ups, read it with a conversion lift test. A random slice of the audience is held back from the paid support, and the extra conversions among everyone else are the effect of the series.

Treat view-through conversions with care. They credit a conversion to an ad someone saw and never clicked. Browsers that block cross-site cookies keep them out of Google's reporting, and most campaign types keep them to reports only (Google Ads Help). They show correlation, and a test with a control group shows cause.

Search and the effects tracking misses

A series often shows up in places no link tracks: more brand-name searches, more direct visits to the site, more sales in stores or on marketplaces. We take a pre-launch baseline for brand-name searches, direct visits and retail sales, track the change, and claim no size we cannot show.

Give it 90 days

On YouTube the audience keeps coming for weeks after launch, and a season read at day 7 will undercount it badly. We report each episode at 7, 30 and 90 days and the season at 90 days after the finale.

What Mailchimp measured in 2019

One of the clearest public examples of measuring branded content against the business comes from Mailchimp. It told Digiday in 2019 that people who engaged with its shows and podcasts resembled its most valuable customers: they paid more, paid sooner and were more engaged (Digiday, July 29, 2019). That kind of comparison, which needs the brand's own customer data, is often more persuasive inside a company than any media metric.

What a season report contains

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