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🎯 Objective: Increase the performance of your Ads campaigns
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To make the most of the potential of the smart bidding strategies offered by Google / Facebook, you need to feed the AI with the right metrics, especially if you have interactions outside the website.
The ideal is to use LTV, the sum of revenue generated by a customer, regardless of the sales channel, as a target indicator. This can be the current LTV and the estimated LTV from the first touchpoints.
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✅ Requisite
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Data sources
- Customer list
- Purchases made
- GSheet with parameters
Tools
- Google Ads (or Facebook Ads)
Why/when should you consider this use case?
- The rise of smart bidding strategies
- The main challenge is to feed the Google and Facebook AI correctly
- The king indicator: the customer lifetime value or LTV
How to set up this use case?
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🚫 Before Octolis
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Project that seems too complex, without having an easy to predict ROI, as a result, are rarely prioritized despite the potential impact.
- The LTV calculation must be done by technical profiles, or even data scientists when considering a predictive LTV. This makes the project much more cumbersome and time-consuming.
- Little autonomy to change the logic. If we want to use another criterion or change the way the LTV is calculated, it requires the intervention of the Data / Tech team.
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🚀 With Octolis
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- Connect your data sources
- Create an audience from your customers and purchases
- Add a calculated "LTV" or "future LTV" field
- Send the audience to Google Ads and/or Facebook Ads