We are currently completing three projects where clients need to take a more focused view on what types of company they target and what types of result they should expect.
This means giving the sales team the right data in their prospecting system and removing the rubbish that can waste so much time and effort.
In reality, ineffective data management policies mean that there are large numbers of duplicates, other records aren’t coded for SIC and size and enquiries are often not taken through to a final Win / Lose conclusion. Then of course, everyone has their own idea of who they ought to be trying to contact!
Our approach is to remove the ‘rubbish’ and enhance the remaining data with the right internal qualifiers.
It’s common for the customer data to be fragmented and inaccurate on CRM if there isn’t live integration, so it’s possible to run a merge against relevant accounting data to make sure that the sales team have an up to date picture of sales.
We then allocate SIC code, size and other relevant external qualifiers to the data and then run detailed analysis to identify the best sectors to target.
|
|
 |
|
A company needs an improved approach to Business Development, with bigger targets and better share of account penetration, while using a CRM system that is tired and bursting at the seams with old, irrelevant data, and has no ability to understand how important individual data is or could be.
| |
|
 |
|
|
 |
|
Go back to basics, strip out the rubbish and get the surviving data right.
Create a data audit to understand how bad your data quality is, then remove all the duplication, analyse your markets to identify best opportunities, enhance the data within your CRM to allow you to prioritise it, enhance with external qualifiers like SIC and size information and internal ones around cross-sell and churn potential, suppress records that are time wasters and then redirect your new prospecting activity to the areas where you get best return.
| |
|
 |
|