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Bottom funnel via targeting inactive users with customized message, top via optimal frequency to convert. 1st Party
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1st Party Data
We leveraged Alognomy CDP’s Capabilities and used RFM (Recency, Freq, Monetary) framework to bifurcate 1P audiences into multiple cohorts like “Inactive” “Loyalist” “Hibernating” and pushed a personalized communication at example <We miss you> with offers
2nd / 3rd Party Data
We leveraged Ads Data Hub & CM360 to analyze 7Mn users exposed to McD’s ads at a very granular level.
• | We analyzed the optimal frequencies to drive more orders on the delivery platform basis each geography. |
• | We ran a path to conversion analysis to identify the most effective combination of creative sets across, to drive higher conversions. |
• | We built multi-touch attribution models to analyze different video channels to find the most profitable media mix. |
• | Used DV360 to achieve the identified optimal frequency of 5-8 across geos respectively. |
• | Products leveraged: Google BigQuery, Data Studio, |