Good Ladieswear - Retail Data Lists
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- B2B Data cleansing & enhancement
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Industry classification: Ladieswear - Retail
Available data lists: 5792
Market sector: Clothing & Accessories
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.
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.
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.
Company Date Established
Marketing data lists may be selected by the business established data at premise.
This has two key applications
The first is to select a prospect list of companies who commenced trading within (say) the last year. This has particular relevance for accountants who are seeking to target a business data list of companies who have not filed their first year's accounts.
The second is for companies seeking a prospect list of companies of a certain age. For example, premises built before the year 2000 have an associated asbestos management legislation.
There are some pitfalls with a marketing data list selected in this way because it includes business relocations and new company branches. But a directorship job title can weed out the branches.
