Market Research, Lead Enrichment and Scoring: How Better Targeting Is Built

A bought list is a starting point, not a target list

Purchased contact lists are built for volume. They are sorted by industry codes and job titles, not by whether a company has the problem you solve. Many contacts have moved on, many companies are the wrong size or shape, and nothing on the list tells you what any of them needs.

Everyone gets the same message

Without research, the only message you can send is a generic one. Buyers receive a great deal of generic outreach, and they have learned to ignore it within a line or two.

Sales time goes to the wrong companies

Without a way to rank the list, callers work through it alphabetically or at random. The companies with the clearest need get the same attention as those with none.

Market research starts from the Business Development Plan. It confirms where the opportunity really is before any list is built: which industries and regions, which size and type of company, which situations make a company more likely to need what you sell, and which competitors they are already hearing from.

The output is a definition of the target, precise enough that a researcher can look at any company and say whether it belongs.

From a contact to an enriched lead

A contact is a company name and perhaps a person. An enriched lead is a company you understand. Enrichment adds what the outreach and the sales conversation will need:

• Verified company details: what it makes or sells, where, to whom, and roughly how large it is
• The decision-makers and buying influences inside the company, with working email routes and phone numbers
• What its website and public presence show about its sales and business-development approach
• Visible gaps and opportunities, each tied to something you can point to

Why AI makes this better now

Until recently, researching a company properly took a person most of an hour, so it was only done for the largest few targets. Everyone else got the generic email.

AI changes the economics. It can read a company’s website and public presence and summarise what it shows (what the company sells, who it sells to, how it presents itself, where the gaps are) in a fraction of the time. That means every company on the list can be researched, not just the top fifty.

Used carelessly, AI invents. Used properly, it is held to evidence. In the Aim Hii process, each observation used in outreach is tied to something visible on the company’s own website or public presence, and anything that cannot be supported is left out. The result is outreach that says something true and specific about the company, at a scale that was not affordable before.

A score routes a company; it does not discard it

Every enriched company receives a business-development score, which reflects how much visible room there is to help it and how well it fits the target. The score is a routing tool, not a filter: no legitimate company is thrown away because of its score.

Instead, the score decides how each company is approached:

• Companies with the clearest visible need move to the front of the calling list
• Companies that appear well served already receive a lighter email-only approach, so they still hear from you without taking up calling time
• Scores are kept internal; a prospect never sees one

Engagement outranks the score

A score is an estimate made before contact. The moment a company replies, clicks through, starts the Free Business Development Analysis or books a presentation, its behaviour says more than any score, and it moves up accordingly.

Targeting brings the first three steps together into a decision for each company: who to contact, what to say to them, through which channel, and when.

• Who: the decision-maker identified during enrichment, not a generic inbox where possible
• What: a message built around what research found about that company
• Which channel: email first for most companies, a call first for the highest priority
• When: in the order the scores and the plan set, during the recipient’s business hours

This is the point where the research pays for itself. The email and the call that follow are no longer cold in the usual sense. They are informed.

• 73% of B2B buyers say they actively avoid suppliers who send irrelevant outreach (Gartner survey of 632 B2B buyers, 2025).
• Outreach tailored to the whole buying group, not just one person, improves the group’s ability to reach a decision by 20%, and buyers who experience that relevance are three times more likely to report a high-quality deal (Gartner, 2025).
• Contact data goes stale quickly: Dun & Bradstreet estimates contact accuracy erodes by about 2.5% a month, roughly 30% a year, and HubSpot, citing MarketingSherpa, puts the decay of email databases at about 22.5% a year.
• Salespeople using AI expect it to cut prospect research time by 34%, and 55% already use AI for prospecting, with another 38% planning to (Salesforce, State of Sales, 2026).
• In the same survey, 46% of salespeople using AI agents said data-quality problems hurt their sales, which is why AI research needs verified data and evidence behind it.