Sales · Find & Prepare
Prospect the people already using a tool like yours.
Doe finds the companies running a competitor or a specific technology, confirms they fit, maps the decision-makers, verifies the emails, and drafts the displacement angle for each account. The highest-fit list you can build, kept current as the install base moves.
Works acrossDoeWeb ResearchGoogle Sheets
What you get.
Doe finds the companies running a specific competitor or technology, qualifies them against your ICP, maps the decision-makers, verifies their emails, and drafts a displacement-aware opener. A rival's install base is your highest-fit, lowest-education prospect pool, and Doe keeps the list fresh as the market shifts instead of handing you a three-year-old export.
Your best prospects are using your competitor right now.
The companies that already bought a tool like yours are the easiest sale you will ever make. They have the budget line, they understand the category, and a third of them are quietly unhappy with what they have. The problem is finding them. "Companies that use [competitor]" lists exist, but they are gated, stale, and assembled by a vendor who last updated them when the competitor was half its current size.
So you guess. You assume the big logos use the obvious tools and you waste outreach on companies that switched away last year or never used it at all. Meanwhile the company that just signed with your competitor last month, the one in their first painful onboarding, never hears from you, because they are not on anyone's list yet.
What changes.
- 01List freshnessBefore · Gated export, often years out of dateWith Doe · Rebuilt on a schedule as the install base shifts
- 02Recent adoptersBefore · Invisible until a vendor list catches upWith Doe · Caught early, in their painful onboarding window
- 03FitBefore · Assumed from logos and guessworkWith Doe · Qualified against your ICP with a reason per row
- 04MessageBefore · Generic "switch to us"With Doe · A specific gap-based angle for each account
From a competitor name to a qualified displacement list
- 01Finds companies running the target technologyWeb ResearchDoe detected the competitor or technology in use across candidate accounts by reading public technographic signals, job descriptions, and company sites, including recent adopters no static list has caught yet
- 02Qualifies the install base against your ICPDoeThe Judge kept the accounts that fit your size, segment, and use case, and flagged ones showing churn signals worth prioritizing
- 03Maps the decision-makers at each accountDoeDoe found the economic buyer and the likely champion for a switch, not just any contact at the company
- 04Verifies contacts and drafts a displacement-aware openerDoeDoe waterfalled to verified emails and wrote a per-account angle grounded in the gap between what the competitor does and what you do. Drafts wait for your review
- 05Writes the finished list to a shared sheetGoogle SheetsDoe exported accounts, contacts, detected tech, fit score, and the displacement angle, with source on every row
- 06RecurringEvery two weeksInstall bases move constantly as companies adopt and churn tools. Doe refreshes the list on a cadence, surfaces new adopters while they are still onboarding, and flags accounts showing signs they are ready to switch. Refreshed list in Google Sheets, new accounts to #prospecting.
Start with the right source material.
- 01Add your library and toolsAdd or select the source files Doe should use, then connect the tools this task needs. No API keys, no engineering.
- 02Describe what you need“Find companies in our segment using [Competitor]. Qualify them against our ICP, find the VP and the likely champion, verify their emails, and draft a displacement angle based on the gaps in their current tool. Put the list in a sheet and flag any showing churn signals.”
- 03It runs on scheduleRuns every two weeks. A fresh, qualified install-base list with per-account angles lands in your sheet.
Before you delegate.
- 01How does Doe know which companies use a given tool?Doe reads public technographic signals: technology footprints on company sites, tools named in job descriptions and engineering posts, integration and partner pages, and review-site mentions. It reasons over those signals the way an analyst would, rather than trusting a single stale database, which is how it catches recent adopters that pre-built lists miss.
- 02How is this different from BuiltWith or Enlyft?BuiltWith and Enlyft give you a technographic database to query. Doe finds the install base, then qualifies it against your ICP, maps the actual decision-makers, verifies their emails, and writes a displacement angle per account. It turns "here are companies that use X" into "here are the right people to reach and what to say." Teams often use a technographic source as one input and let Doe do the qualification and outreach prep on top.
- 03Is detecting a competitor's customers allowed?Doe works only from public signals, the same information a salesperson gathers by hand: public websites, job postings, public reviews, and partner pages. Nothing is taken from behind a login or in breach of a platform's terms, and the source of each detection travels with the row so it is auditable.
- 04How accurate is the technology detection?Doe attaches a confidence level and the evidence to each detected account, and the Judge holds back low-confidence matches rather than padding the list. You decide the threshold. As with everything Doe builds, the goal is a list you can send to with confidence, not the largest possible list.
- 05Can Doe prioritize accounts that look ready to switch?Yes. When churn signals appear, such as the company hiring for a role that implies a tooling change, a recent contract-renewal window, or public complaints, Doe flags those accounts so your team works the warmest ones first.