Compare Adelaide Metrics to MarketDial head to head on Blurbs

Blurbs comparison of Adelaide Metrics and MarketDial

Learn about how these Ad Measurement & Attribution vendors stack up against each other by checking out our blurbs, claims, and case studies.

Full Blurb

Adelaide Metrics

"Measures media quality with attention metrics"

Focused on Ad Verification & Viewability .

Adelaide helps marketers assess media quality by using attention metrics like AU. It evaluates cross-channel media placements, predicting which are more likely to capture attention. Marketers can use this to reallocate spend towards better-performing ads, optimizing their campaigns based on a standardized 0–100 efficiency score.

Omnichannel metric

Adelaide claims that AU is an omnichannel metric proven to measure media quality more accurately than any existing metric.

Machine learning optimization

Adelaide claims that AU uses a machine learning model trained to outperform outcomes, reducing waste and getting better results.

Programmatic activation

Adelaide claims that AU is available everywhere – display, OLV, walled gardens, CTV, linear, and podcasts – with programmatic activation through DSPs.

Full Blurb

MarketDial

"Optimize retail decisions through data-driven testing."

MarketDial helps marketers run controlled experiments to predict the outcomes of strategic decisions before full-scale implementation. It centers on testing small-scale innovations to prevent costly mistakes, effectively turning data insights into action. This approach provides a competitive edge in retail operations by clarifying which innovations offer real value.

Test before full rollout

MarketDial claims that their platform allows companies to test innovations on a small scale, preventing costly failures.

High return on investment

MarketDial claims that many clients achieve a 10:1 ROI, sometimes after just one test, with potential for even higher returns.

Time-saving automation tools

MarketDial claims that their user-friendly automation saves up to 120 hours per test, allowing more frequent testing and insights.