How teams use CapyScout

Same product.
Very different playbooks.

These are the working patterns teams set up in their first week - each one is a walkthrough you can copy, not a testimonial. Every playbook below ships as a one-click install inside the app.

Outbound sales B2B SaaS, 3-10 AEs

The morning short list

An AE team watches their named accounts plus look-alikes CapyScout discovered. Signals: new sales leadership, funding, a hiring burst, and mentions of the tool they replace. Each morning the Today queue hands every rep 3-5 accounts with a two-line "why now" and the evidence link. Reps work the list before their first call block instead of researching.

FindNamed accounts + discovered look-alikes on one watchlist.
WatchLeadership, funding, hiring, and tool-replacement signals checked daily.
ActToday queue each morning; hot hits also land in the team Slack channel.
Inbound and PLG Self-serve product, high signup volume

Every signup scored, the best ones watched

A growth team posts each new signup to CapyScout. Every email comes back scored for fit and risk with a full company brief. High-fit signups are automatically added to the watchlist, so when that account later raises money or starts hiring, sales hears about it - weeks or months after the signup, right when it matters.

FindSignups arrive via the API or pasted into Analyze - no code to start.
WatchThe "Watch high-fit signups" playbook enrolls good accounts automatically.
ActSignal fires show who signed up from that company and when - warm path in.
Local services Selling to local businesses

Reputation moments as the opener

A team selling to local businesses watches dentists, med spas, and clinics in their metro. Signals: a rating drop, a surge of new reviews, or a competitor opening nearby. Instead of cold-calling down a list, every outreach opens with the specific moment - "your rating dipped below 4 stars this month" - and links to a service that fixes exactly that.

FindLocal search: "dentists in Austin with 200+ reviews" builds the book.
WatchReview and reputation signals across the whole metro list.
ActEach hit becomes a personal, evidence-backed opener - never a generic blast.
Retention and competitive Account management teams

Hearing about churn risk before the churn

An account management team watches their customer base and their main rivals. Signals: leadership changes at customer accounts, layoffs, competitor job postings that mention the customer, and customers appearing in a rival's case studies. Risky changes route to the account owner in Slack the day they surface, not at renewal time.

FindCustomer list synced from the CRM in one click.
WatchChurn-risk and competitive-move signals on every customer.
ActWorkflow routes each risk hit to the account owner with the evidence.

Copy any of these in your first session.

Each pattern above is a playbook inside the app - one click installs the signals and workflows.