I’ve had this brilliant idea for months now (pat self on back) but have yet to test it out. Basically- instead of hiring outside data vendors to append data to your internal database, let the audience self-select. Target a random sample percentage of your database, and email a specific targeted content. For one client, who thinks that the senior citizen demographic may be a lucrative segment of their population, they could send grandparent-specific content, then based on the opens and clicks for that email, identify that group as “interested in grandparent content”- if not grandparents themselves.
One client did this on mother’s day and saw a significant boost in opens and clicks. This technique is great if you don’t have a lot of data- mainly for retailers, and online brick and mortar. Keep the history of your campaigns, and segment out those active responders from previous, similar campaigns into one segment. Add a new random sample (to continue the targeting). Remember to use this segmentation next time you run a similar campaign.
Respondants from 2007 Grandparent Content Campaign | 10,000 | Random sample of database- for further demographic profiling | 5,000 | Total for this campaign: | 15,000 |
Let’s say 700 folks open or click from the new segment- next time you run the campaign:
Respondants from previous campaigns | 10,700 | Random sample from database- for further demographic profiling | 5,000 | Total for this campaign: | 15,700 |
And so on.
You can even literally append the data to your database by creating a table of customers, and their respondant interests.
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