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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsTrack TV and streaming advertising with a balanced scorecard: valid impressions and cost, target and deduplicated reach, frequency, video completion and viewability with measurement coverage disclosed, attention or brand response suited to the campaign, and business outcomes. These numbers answer different questions. An impression is evidence of delivery, not proof that a person noticed an ad or that it produced a sale.
For personal-finance and small-business advertisers, the distinction matters when deciding whether a campaign is earning its budget. Compare reports only after checking how each platform defines its audience, counts impressions, handles overlap and co-viewing, filters invalid traffic, measures viewability, and verifies its methods.
Start with a scorecard, not a single headline number
Use the measures below together. Break results out by channel, publisher or platform, placement, geography, device, and creative when available; otherwise, a campaign-wide average can obscure where delivery or costs differ.
| Metric | What it tells you | What to check |
|---|---|---|
| Impressions, spend, and CPM | How much ad delivery was reported and what it cost per thousand reported impressions. | What event triggers an impression, which exclusions and invalid-traffic controls apply, and whether a TV-off or continuous-play control is used. A served impression is not automatically a viewable exposure or a unique person. |
| Target and total reach | Estimated number of unique people in the intended audience, and estimated unique audience overall. | Population, geography, demographic basis, time period, and whether the estimate is person- or household-oriented. |
| Average frequency and frequency distribution | Average number of exposures among reached people; distribution shows how exposures are spread across them. | Whether frequency is controlled across linear TV and streaming, and whether exposures are deduplicated across devices and platforms. |
| Cross-platform unduplicated reach | Estimated audience reached across linear TV and streaming after accounting for overlap. | Identity and deduplication method, co-viewing treatment, population, and reporting period. |
| Completion and quartile progress | How far video playback progressed, including whether it reached the end. | How the platform defines completion and which impressions are included in the denominator. Completion does not establish viewability. |
| Measurable impressions, viewable impressions, viewable rate, and non-measurable share | Whether viewability could be measured, how many measured impressions met the applicable rule, and how much inventory could not be assessed. | The rule and measurement coverage for the specific inventory. Keep non-measurable distinct from non-viewable. |
| Attention, engagement, and brand response | Whether exposure or user-response signals align with an awareness or persuasion objective. | Signal definitions, survey outcome, study population, sample and field dates, and uncertainty. Provider scores may not be comparable. |
| Conversions, cost per result, and incremental lift | Whether the campaign is associated with outcomes such as qualified visits, leads, purchases, or app actions, and whether results appear incremental. | Event definition, attribution window, identity matching, modeled components, and control or causal design. |
How do reach and frequency work across TV and streaming?
Keep the audience definition visible
Reach estimates unique people exposed; frequency estimates average exposures among those reached. When campaigns span linear TV and streaming, request target-audience reach, total reach, average frequency, and frequency distribution, plus cross-platform unduplicated reach and overall frequency if the provider can estimate them.
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Those estimates are not necessarily direct person-by-person counts. For example, Google describes unique reach and co-viewed reach as estimates based on identifiers and aggregated sign-in data. Nielsen notes that audience measurement can combine panels and large-scale device data; ask how viewing is identified and represented, and whether the reported audience is people or households.
Do not let a GRP hide repetition
A gross rating point (GRP) combines reach and frequency by multiplying them, but the same total can conceal very different exposure patterns. A campaign might reach more people with fewer repeat exposures, or reach fewer people repeatedly. Nielsen’s 2023 audience-measurement explainer notes that frequency control is difficult across platforms and that TV advertisers often buy GRPs while individual-level frequency remains largely uncontrolled. Review the frequency distribution alongside GRPs, not just the aggregate.
Ask how co-viewing is counted
A connected TV screen may be watched by more than one person. Ask whether co-viewing is included, how it is estimated, and whether the provider deduplicates exposure across devices, streaming platforms, and linear TV. Without those details, two vendors’ reach figures may describe different things even when both use the word “reach.”
Is video completion rate the same as viewability?
No. Completion describes playback progress; viewability concerns whether enough of the ad was visible for a specified time. A completed playback should not be presented as proof of a viewable exposure.
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Non-measurable means the system could not determine viewability; it does not mean the ad was either viewable or non-viewable, nor that it was noticed. Keep completion rate, viewable rate, and measurability separate in both dashboards and budget reviews.
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Which attention and brand measures fit the campaign goal?
For awareness and persuasion
Choose a defined brand-lift or recall measure when a credible exposed/control or pre/post study is available. Report the exact survey outcome, study population, sample and field dates, and confidence or other uncertainty information. A modeled lift estimate is not a directly observed count.
IAB’s attention explainer separates ad-related exposure signals—such as viewable time, share of screen, video completion, and audibility—from user-related engagement signals such as clicks, skips, playback events, and volume changes. These can help describe exposure and response, but attention providers use distinct metrics, so do not assume one provider’s score is directly comparable with another’s. Also consider the media environment’s fraud, viewability, brand-safety, suitability, contextual-relevance, and geographic-targeting controls.
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Define the business event before launch: for example, a qualified visit, lead, purchase, or app action. Report conversion volume and cost per result, then separate attributed results from incremental lift. Attribution indicates that a result was credited to a campaign under a stated method; a credible control or causal design is needed to support a claim that the campaign caused additional results.
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Disclose attribution windows, identity matching, modeled components, and the control or incrementality method. IAB Tech Lab describes ECAPI as a standard for communicating marketing-related events from advertisers’ systems to platforms and partners. Event communication can standardize plumbing; by itself, it does not establish causal lift.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should you compare campaign reports or measurement vendors?
Before comparing results, line up the definitions below. If the methods differ, label the results as non-comparable or explain the difference rather than treating them as like-for-like performance.
- Audience scope: target population, geography, demographic basis, period, and whether the estimate represents households or people.
- Deduplication and co-viewing: overlap treatment across devices, platforms, and linear TV, including how multiple viewers of one CTV screen are represented.
- Impression definition: triggering event, exclusions, invalid-traffic controls, and consistency across web video, CTV, and linear TV.
- Visibility and coverage: applicable viewability rule, measurable denominator, non-measurable share, and whether completion is being used as a proxy.
- Outcome design: event definitions, attribution windows, observed versus modeled results, control method, and uncertainty.
- Independent assurance: applicable MRC accreditation, standards adherence, and independent verification of impression, invalid-traffic, and viewability methods.
- Reporting usability: data granularity and latency, creative and placement breakdowns, and access to underlying event or impression data where legally and contractually available.
IAB’s public summary of its December 2025 CTV guide identifies fragmented standards and inconsistent signal quality as current challenges. The guide summary does not establish one universal CTV measurement definition; verify the method and coverage of the report you are buying.
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What should you ask a TV or streaming measurement vendor?
- How do you measure CTV viewability, and do you use completion or progress events as a proxy?
- How do you prevent impressions from counting when a television is off but a streaming device continues playback?
- How do you count completion, and how is that separate from viewability and impression counting?
- Is the measurement platform MRC-accredited? If not, which standards does it follow, and has its method been independently verified?
- Which signals do you use—such as SDKs, tags, or server-side logs—and do device differences affect measurement?
- Do estimates combine deterministic signals, modeled or probabilistic methods, or panel data? How are panel estimates generalized?
- Are impression definitions consistent across web video, social video, CTV, and linear TV?
IAB’s digital video measurement guidance covers online, mobile, and OTT activity involving digital video and audio ads, including streaming-player impression counting. In the IAB Tech Lab measurement materials available on October 4, 2026, OM SDK v1.5 (June 2024) is listed for third-party viewability and verification in web video, mobile apps, and CTV, while ECAPI v1.0 (January 2026) is listed for standardized event communication. Standards and platform definitions can change; confirm the version and implementation a vendor actually uses.
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