Prospect Research Template: What to Capture Before You Write

Most prospect research is wasted. A rep opens a LinkedIn profile, reads the company's About page, scrolls a podcast transcript, and ends up writing the same email they would have written without any of it. The fix is not more research. It is a short template that only asks for the facts that change the message, and a rule for how long each tier of account deserves.

What a prospect research template is for

A template does three jobs. It stops research from turning into reading, because each field has a purpose and a time limit. It makes personalisation consistent across a team, so the quality of an opener does not depend on which rep had the account. And it hands context forward: when a prospect replies three weeks later, whoever answers can see why the email was sent and what it promised.

Keep one test in mind while filling it in: if this fact were different, would the email be different? A prospect's university rarely passes that test. A new head of sales hired last month almost always does.

The template, field by field

Group the fields by the question they answer. You will not fill every field for every lead, and that is the point: the account tier decides how deep you go.

Twelve fields look like a lot. In practice the account fields fill in seconds from a lead database, the person fields come from one profile, and the real work is the trigger and the opener.

A filled example

Here is the template filled for an invented account, the way a rep would leave it on the lead record:

Notice what is missing: no university, no hobbies, no "I loved your recent post". Every line above changes the email.

How deep to go: research by tier

The template stays the same; the time budget changes. Decide the tier before you open a single tab.

Tier 3 is where most teams overspend. For a few thousand contacts, research the segment instead of the person: what every ops leader at a 50-person logistics company is dealing with this quarter. One strong segment opener beats a thousand weak personal ones.

Where prospect research usually goes wrong

• Collecting facts that do not change the email. Apply the test above to every field and drop the ones that never pass it.
• Stale triggers. A funding round from last year is not a reason to write today. Record the date so the age is obvious.
• Flattery in place of relevance. "Loved your post" tells the reader you looked them up, not that you can help. Tie the trigger to the problem you solve.
• Researching the wrong person. If the person is not measured on the outcome you improve, the best opener in the world lands on the wrong desk. Fix the target before the message.
• Research that never reaches the reply. If the opener and trigger live in a rep's head or a private sheet, the person who handles the reply starts cold.

Turning the research into the email

A researched email has three parts, and each comes straight from the template: the opener from the trigger, one line of relevance from what the person is measured on, and the ask. Everything else is optional.

Keep the follow-ups in the same thread and give each one a new angle from the template, such as the proof point or a second trigger, rather than "just bumping this".

Doing prospect research at volume with SpamCipher

SpamCipher is an AI-powered sales engagement platform, B2B lead intelligence database, and email deliverability and security suite in one product, so the template's four groups map onto one workspace instead of five tabs.

• Fit and person: Super Search finds people and companies by industry and location (each with exclude), job title, seniority, department and company, or from a plain-English description such as "heads of sales at software companies in Canada". Searching is free; an email reveal is charged only when an address is found, and each person is unlocked once per workspace.
• A missing address: the Email Finder returns a work email from a name and a company domain with a confidence score from 0 to 100.
• Why now: the Signal agent in Cipher Agents queues an opening email when a buying signal qualifies, such as a hiring signal, and it waits for your approval.
• The opener: AI writing drafts emails from your business profile in Cipher Memory, checks them against rules and a 12-point judge, and uses them only after a person approves.
• Before the first send: campaign leads that were never checked are verified at no charge, and replies land in Unibox labelled by intent, next to the research that earned them.

The template still does the thinking. The platform removes the tab-switching and keeps the research attached to the lead, the email and the reply.

Copy the template

Paste this into a lead note, a CRM field or a spreadsheet header row:

PROSPECT RESEARCH
Tier: 1 / 2 / 3
Company / domain:
What they sell, to whom:
Size band and stage:
Fit score (1-3):
Person, role, seniority:
Measured on:
Time in role:
Trigger:
Trigger date and link:
Opener (one sentence only they could get):
Proof to mention:
Ask:

Frequently asked questions