Zaro for GTM

Find the accounts worth chasing, before your competitors do.

Zaro agents scan for buying signals, enrich every account, and run outbound over weeks - all on one shared workspace your reps, RevOps, and leadership read from.

Start for free

10x

More accounts researched per rep, per week

20-day

Outbound sequences run and adapted automatically

0 hours

Of manual CRM data entry to keep fields current

Sample figures shown for layout - pending published case-study data.

THE PROBLEM

Your buying signals arescattered and already stale.

The context a rep needs to work an account lives across a dozen tabs - LinkedIn, the CRM, deep search, notes, email. Someone stitches it together by hand, and by the time they do, the moment has passed.

Signals go cold.

By the time a human spots the trigger event, the window to act on it has usually closed.

Research does not scale.

Reps can only enrich a handful of accounts a day, so most of the list never gets touched.

The CRM lies.

Fields drift out of date the moment nobody has time to update them, and forecasts drift with them.

HOW ZARO DOES IT

One engine.Three layers.

For GTM, that context is your CRM, call notes, LinkedIn and X, deep search, and inbound - continuously pulled, enriched, and kept current so every rep works from the same live picture.

01.

Agents keep your data alive

Workflows and agents continuously pull, enrich, and summarise context from wherever it lives - databases, SaaS APIs, the browser, deep search, Slack, and email. Not a one-time sync, an ongoing process.

02.

One shared, audited layer

Not per-user memory. The whole team reads and writes to the same context, and every change is versioned - you can see which person or agent touched what, and when.

03.

Apps and actions on top

Build dashboards, chatbots, and internal apps on that context in plain language. And the loop closes: those apps trigger agents back out into the world to do the next thing.

USE CASES

Run the wholeGTM motion on Zaro.

Each stage is the same engine pointed at a different job - and they feed each other, because they all write to one workspace.

Catch buying signals the moment they happen

Agents monitor LinkedIn, X, and deep search for the trigger events that mean an account is in-market, then summarise them into a live report and dashboard your team wakes up to.

Continuous scanning, not a weekly export
Signals ranked and de-duplicated for you
Written back to the workspace every other stage reads from

Every account enriched before a rep touches it

Account and contact detail is pulled and normalised from multiple sources, so a rep opens a fully-researched account instead of a name and a blank page.

Firmographics, tech stack, and news in one record
Normalised across sources, no copy-paste
Refreshed automatically as things change

Multi-touch sequences that run for weeks

Launch multi-channel campaigns that sequence themselves over a 20-day arc, adapting to replies and handing warm accounts back to a human at the right moment.