Reactivate and upgrade customers
Struggling to reactivate or upgrade customers? The devil’s in the win-back campaign data selection.
The challenge
If you’ve ever tried to reactivate a lost customer base by marketing to a random sample, you will know that this comes with a range of challenges. For starters, the data is likely to be out of date and many of the contact details will no longer work. Telephone numbers will be disconnected, people may have moved away, and some individuals may even be deceased. Furthermore, many of the people you try to contact won’t be necessarily open to hearing your offer.
These challenges can lead to poor performance and a negative impact on the morale of your marketing and sales teams.
The solution
Cleansing your data and pinpointing the individuals most likely respond, using predictive modelling, can remove a lot of the guesswork from win-back data selections and drastically improve reactivation conversion.
Whether starting from scratch or building on your R.F.M. (recency, frequency, monetary value) model, Dataphoria can help by:
- Finding lapsed customers most likely to be reactivated
- Identifying customers who are able to buy more
Since your customers already like your brand, it’s smart to focus on them first in your marketing plans.
Level up your segmentation
Mapping your customer data with third-party data can create a more complete picture of your customers. It is likely that many of your lapsed customers still have an active relationship with other marketers. Therefore, by leveraging third-party datasets, you can validate contact details and understand how direct responsive they are to other offers in market. Furthermore, their behaviour elsewhere is often a strong indicator as to how they might respond to your win-back campaign.
Our unique access to Australian behavioural, demographic, and business data, combined with strong analytics can build strong results. This makes Dataphoria a great partner for customer insights and win-back database segmentation.
Working closely with marketing teams, our advanced customer profiling solutions have achieved success in projects designed to:
- Gain insights into who customers are and how they behave
- Compare a database with the wider population to see what makes the customers different. This can assist in predicting who should be reactivated
- Create predictive models to find prospects, with similar traits to your most profitable customers
These solutions leverage data matching processes across names, addresses, emails and / or telephone numbers from your database. The benefit with this process is that your database doesn’t need to be complete, or even well organised, for the process to work. Therefore, you won’t need to invest heavily in fixing up your data before we can commence winning back your lapsed customers.
Level up your reactivation campaign
Win back your customers
