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Measure what makes an impact

Measure what makes an impact

We need better metrics for digital marketing. Numbers don't add up. Gain actionable insights, even if the data isn’t perfect.

Instead of relying on messy behavioral data or mismatched metrics from Google, focus on custom metrics that define your company’s value. It’s easier to project the impact of a product price increase on search visibility than it is to reassure clients who worry about search rankings.

This talk offers a practical blueprint on how to quickly implement and future-proof how you showcase marketing value.

Myriam Jessier

October 04, 2024
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  1. Measure What Makes an Impact Myriam Jessier PRAGM & NEUROSPICY

    https://speakerdeck.com/myriamjessier @myriamjessier
  2. Pizza Meter In the 90s, Domino’s pizza orders would increase

    during heightened Pentagon activity (political crisis or military operation).
  3. Your sample size must be 70 times larger than the

    number of variables SARAH CROOKE QUOTE
  4. You Rely on Trend Analysis Already... Glimpse Real-time data from

    multiple sources. Exploding Topics AI scraping + trend analysis. Google Trends sample of web searches.
  5. 3 main types of trend analysis Comparative analysis trends across

    categories Regression analysis relationship between variables Time-series data points over time 01/ 02/ 03/
  6. Emerging keywords Search intent changes Keyword popularity by region Seasonal

    keywords Search volume correlations Intent proximity Keyword Trendspotting
  7. “With Revolut Bank, trending queries show that folks inquire about

    its trustworthiness and legitimacy.” MARK WILLIAMS- COOK
  8. Spotify has 6,000 music genres. 01/ For optimal recommendations 02/

    Using meta data, raw audio data & listening patterns. 03/
  9. To the Spotify algorithm, an artist's genre is more of

    a "cluster of collective listening patterns" than a traditional label.
  10. Spotify’s algorithm uses those labels to map out a network

    to figure out other genres you are most likely to engage with.
  11. Occupation Rate Tracking rented units in GA4 as a metric

    to optimize Google Ads & to check vs indexation
  12. Blueprint Articulate the challenge 1. Define Custom Metrics 2. Assemble

    the data sources 3. Identify patterns 4. Communicate trends & drive action 5.
  13. Digital Happiness Index Page load speed (fast) 01/ High value

    orders placed 02/ Return purchases 03/
  14. #5 Communicate Trends & Drive Action Improving page load speed

    is crucial. It impacts the happiness index. It's linked to CX & sales.
  15. Google Ads GSC data CRUX data Google Merchant Center data

    My current hyperfocus is trend analysis in BigQuery.