Comparison
Design-in intelligence compared with lead databases.
A lead database holds companies and the people who work at them, filtered by industry, size, location and job title. It answers who could I contact.
A component sale starts one step earlier, with which product is this about.
What each one supplies.
They sit at different points in the same process.
| Lead database | Design-in intelligence | |
|---|---|---|
| Supplies | Companies and contacts | Products, with checks and sources |
| Filtered by | Industry code, headcount, region, title | Technical requirements against a part's criteria |
| Reason to call | Not included | The product, the checks it passes, the open questions |
| Knows the product line | No | Yes, it is the unit |
| Contact data | Yes, licensed | No. Account-level evidence only |
| Typical failure | A list of electronics companies, most of them irrelevant | A product stuck in review because nothing public says what is inside |
Products first, then accounts, then people.
Industry codes do not separate a company that builds machine vision cameras from one that distributes them. A requirements table does. Once the products are known, the companies follow, and a licensed provider or the client's own CRM supplies the people.
Collect names, titles or email addresses from public traces into a client's CRM. Records are about products and companies. Contact data comes from sources that are permitted to supply it.
For each product: what it is, the checks against the part, the source for each, what is still unknown, and any evidence on timing.
If you already buy a lead database.
- Keep it for contacts
- Use product evidence to decide which accounts are worth the contact
- Give the field team the reason with the name
Design-in intelligence · Compared with intent data · Compared with technographics · Finding design-in opportunities
Discuss how the two fit together