Overview
A prospect database builder helps an SDR manager turn public research into a source-backed prospect database instead of another fragile prospecting spreadsheet. Juno installs a working table for accounts, contacts, fit evidence, dedupe status, suppression notes, owners, and handoff readiness, plus a research notes document that explains how the list was built.
Use it when the team needs a repeatable way to find and review new accounts before CRM import, contact enrichment, or outbound sequencing. The playbook is intentionally narrow: it builds the prospecting database and handoff surface, not a full CRM or automated outreach program.
Why you should replace the prospecting spreadsheet
Prospecting spreadsheets usually start clean and then quietly become ambiguous. One rep adds a company name without a source, another pastes a contact with no fit evidence, and duplicates stay hidden until someone tries to hand the list to sales operations.
The drag is real because sales teams already lose time to non-selling work. Salesforce's 2026 sales statistics report notes that reps spend a large share of their time away from selling activity, including tasks like prospecting, research, and data entry (Salesforce).
Juno gives the spreadsheet job a sturdier shape. Every row needs a source, a fit reason, a dedupe decision, and a next action. That makes the database useful for weekly SDR review, list cleanup, enrichment handoff, and "should we work these accounts?" decisions.
It also keeps the workflow grounded. HubSpot describes AI sales prospecting as helping teams identify, research, and engage potential customers faster than manual methods (HubSpot); this playbook focuses on the identify-and-research part so human review still controls handoff and outreach.
Step-by-step
- 1Confirm the brand, target market, buyer persona, geography, public source boundaries, exclusions, and handoff goal.
- 2Translate that brief into practical qualification rules: what counts as a good-fit account, what evidence is strong enough, which contacts matter, and which rows should be blocked.
- 3Research public sources such as search results, company pages, directories, event pages, listing pages, or supplied URLs, then add prospects to the installed database as soon as they clear the review bar.
- 4Capture source URLs, fit evidence, contact targets or visible contact details, intent signals, gaps, and confidence notes so every row can be traced back to its origin.
- 5Deduplicate by domain, company URL, contact email, profile URL, or another stable record key, keeping useful evidence while clearly marking duplicate rows.
- 6Prepare the SDR handoff by updating statuses, owners, priorities, next actions, suppression notes, and the Research notes document with counts, assumptions, rejected patterns, and unresolved decisions.
Frequently asked questions
Does this require a CRM or sales engagement integration?
No. The minimum workflow uses Juno's default research, table, document, and scheduling capabilities. CRM import, email verification, or outbound sequencing can be follow-up work after the database is reviewed.
What makes the database different from a spreadsheet?
The installed table is designed around source evidence, dedupe decisions, suppression status, and handoff readiness. It is not just a list of names; it is a review surface for deciding which prospects are usable.
Can Juno run this every week?
Yes. The template includes an optional weekly refresh. Recurring runs reuse the same Prospect database and Research notes so new accounts, duplicate groups, contact gaps, and handoff changes stay visible over time.
What happens if contact details are missing?
Juno should keep the account row, mark the contact gap, and recommend the next action. It should not invent a person or email just to make the handoff look complete.