First-Rate Back Care Data Lists
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Industry classification: Back Care
Available data lists: 21
Market sector: Hospitals & Medical
Contact Job Titles
The contact job title of the most senior contact name is a key determinant when considering business mailing lists. 96% of Responsiva's mailing lists have a contact name.
When specifying business prospect data, you can opt to ensure all records contain a contact name.
The job title tells us a lot about the business list;
- 72% of job titles are directors. This includes titles like Managing Director, Proprietor, Partner, Chief Executive and Chairman. These are decision-making job titles with a clear autonomy at the business site. These are perfect as a telemarketing data list.
- 28% of job titles are managers. For example, Office Manager, Branch Manager.
These titles have value but are less likely to convert for marketing most services.
Prospect Data Counts & Cross-tabs
When searching for prospect marketing lists one of the first things you will require are some data counts of the businesses within your target specification.
Typical company data counts are by industry, size and geography. For example: the number of builders and plumbers within WV (Wolverhampton) and WS (Walsall).
A simple data list count will be presented thus:
- Builders: 204
- Plumbers: 150
Simple database list cross-tabulations compare, say, the industry with the area as follows:
| Industry | WS | WV | Total |
|---|---|---|---|
| Builders | 117 | 87 | 204 |
| Plumbers | 70 | 80 | 150 |
| Total: | 187 | 167 | 354 |
At Responsiva, data counts and simple cross-tabulations are provided free of charge and typically within one hour of your enquiry. This enables an holistic view of the b2b prospect data within your core market.
Business Premise Type
There are fourteen premise types with Responsiva's business data lists. In choosing the right marketing data for your campaigns, the premise type can have immense value.
The distinct premise types available with marketing lists are:
| 1. | Factories | (4.1%) |
| 2. | Warehouses | (1.3%) |
| 3. | Traders from home | (11.8%) |
| 4. | Retail outlets | (31.0%) |
| 5. | Offices | (14.7%) |
| 6. | Head offices | (21.9%) |
| 7. | Education | (2.7%) |
| 8. | Medical | (3.6%) |
| 9. | Transport | (0.1%) |
| 10. | Civic | (0.4%) |
| 11. | Workshops & repair | (3.6%) |
| 12. | Sports & leisure | (2.3%) |
| 13. | Centres of worship | (1.0%) |
| 14. | Other | (1.7%) |
B2b data can be tailored to your market using the premise type. For example, fork lift truck companies would be interested in warehouse prospect lists, whereas photocopier sales would prefer a data list of offices.
Customer Profiling
One of the strongest methods of identifying perfect prospect lists is to profile your existing customers. A business mailing list is ideal when the prospect data therein "looks like" your existing customers.
A customer profile has three stages:
- Match the customer database to the business universe.
- Review all variables (from the universe) of the matched customers, and identify trends.
The most common trends typically occur with the industry classifications, market sectors and company sizes. Customer profiling yields a targeted database list specification for your key prospects. (e.g. "Finance Sector with 20+ employees").
The final stage is to identify the net names; i.e., the number of prospects meeting this marketing data specification which are not resident in your customer data list.
