Supplement existing first-party data with Telemarketing List third-party data and other data such as advertising costs and sales data. enrich their first-party data with predictions from AI-driven models such as propensity-to-buy scores or engagement Telemarketing List scores that predict customer behavior. then activate this prediction in the channels and analyze the whole. From data to decisions to activation To unlock the full potential of your Telemarketing List first-party data, you need the data, analytics, and activation building blocks.
Data is collected from multiple Telemarketing List sources, cleaned, transformed and combined by adding one unique customer ID. This whole is then accessible to other systems that help you gain insights or make predictions. I explain this with an example: From Telemarketing List data to decisions to activation in a schedule. In the image above you see a marketing activation situation of an omnichannel retailer. The objective is to only target audiences Telemarketing List with Smart Bidding that have a customer lifetime value (CLV) with a positive profit margin.
So the bidding algorithm of an advertising Telemarketing List platform should not be steered by turnover or value, but rather by profit margin. By feeding the algorithm of the bidding platform with margin data at product level, which also includes discounts, and by Telemarketing List correcting returns, you no longer bid on audiences that are loss-making and on the contrary, bid higher on profitable audiences in, for example, Google Ads and on Instagram. To Telemarketing List achieve this you have to combine various sources and then score with an algorithm.