It’s time for your data to deliver
Email marketing is driven by data and the healthier your data is, the more successful your email marketing will be. Reduce costs, increase engagement, and improve deliverability by getting your database fighting fit.
Large and fast-growing databases can quickly spiral out of control. Before you know it, you could have thousands of subscribers who can actually be causing your email marketing efforts more harm than good.
Our proven data cleansing process, combined with our tools and expertise, helps identify low-value, high-risk subscribers that should be removed from your database in order to increase performance.
Removing these records can:
- Reduce volume costs
- Increase engagement rates
- Improve deliverability
We analyse your data, get your database into shape by identifying subscribers who should be removed, and provide you with recommendations to aid future database management.
How it works
You can have a stronger, healthier database that will improve your email marketing ROI in just four steps.
Here’s how it works:
Step 1 – You provide us with the data that needs analysing
Step 2 – Among other things, our team of data experts runs the data file through our state-of-the-art verification tool provided by market leaders Validity. The process divides data into three categories: Valid, Risky, and Invalid.
Step 3 – We return the data file split by category along with a report including our recommendations for next actions.
Step 4 – We invite you to a review call with one of our email marketing consultants where we run through the report, share our analysis and recommended actions, and give you the opportunity to discuss any questions.
Possible actions we’d recommend for the next steps include:
- Reactivation Campaigns
- Data Validation
- Data Removal
- Data Capture Forms including CAPTCHA to significantly reduce spam entries
Ready to get your database into shape and level-up your email marketing? Fill out the form below and one of our team will get back to you to arrange the next steps: