The Sync GTM App

AI is transforming sales and go-to-market. It’s more competitive and crowded than ever before.

Your prospects expect you to contact them at the right place, at the right time, with personalized messaging and free value upfront. If you’re not using AI, you will lose to your competition.

You need a clear approach to designing AI-powered workflows and agents that automate and scale most of the process.

This section covers that approach and the app that runs it. It’s split into three groups:

• Features — the building blocks: workspaces, tables, action columns, imports, exports, scrapers, AI agents, webhooks, and credits
• Enrichments — what you can fill in on a row, how waterfall providers work, and how to control spend
• Integrations — connect your CRM, sequencer, workspace tools, and AI providers, in both directions

Start with the framework below. It’s the model behind everything else.

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The 4-step automation framework

A simple 4-step framework breaks any GTM process into practical, repeatable stages: Find → Research → Enrich → Outreach

Here’s what each stage means, and how Sync GTM runs it.

🔍 Step 1: Find high-intent leads

Everything starts with discovery. With rapidly growing data, every online interaction can be a signal that helps you outcompete your competition.

Sync GTM helps you find warm leads from unique data sources — scraping directories, marketplaces, and social platforms. All from a single table.

Import leads based on high-intent signals provided by our data partners:

• People signals — recent promotions, LinkedIn post engagers, social mentions, podcast attendees, and more
• Organization signals — new hires, funding activity, headcount growth, news mentions, and more
• Online activity — product mentions on social media, LinkedIn post comments, anonymous website visitors, and more

The goal is to surface high-intent leads from silent signals — not just cold lists. Reaching them at the right time with the right message is what increases conversion rate.

See Import Actions and Web Scrapers for the ways data gets in.

🧩 Step 2: Research and enrich

Enrichment is the process of filling in missing details about your leads or accounts — company size, LinkedIn URL, tech stack, funding info, job titles, and more.

It helps you qualify leads faster, personalize outreach better, and prioritize who to go after — all without manual research.

Sync GTM combines 40+ data providers with custom AI research agents. You get richer context, fewer dead ends, and better results — all at scale, inside a single table.

Common enrichments:

• People — validate emails, find phone numbers, pull social engagement, and more
• Organizations — revenue growth, product launches, headcount trends
• AI web research — research agents that find product launch updates, PR updates, and how industries are changing
• Engagement analysis — analyze a prospect’s LinkedIn or X activity, event attendance, and webinar signups

You’re building a full picture of each lead so you can reach out with high relevance. Read how enrichment works for the mechanics.

🧠 Step 3: Turn data into actions

Once enriched, turn researched data into assets: personalized emails, LinkedIn messages, free audits, and more.

Examples:

• Cold emails that mention exact pain points
• LinkedIn DMs tailored to company type
• Instant audits that show gaps or opportunities in their business
• Custom tools relevant to your product that give a top-level view of how you solve their problem

This gives free value upfront and lets you reach out with the right message at the right time — which means higher reply rates and better conversions.

✉️ Step 4: Outreach with personalized messaging

Timing, messaging, and personalization are what win deals.

Examples:

• Export verified contact lists into your cold email sequencer — Instantly, Smartlead, or Saleshandy (see Export Actions)
• Auto-sync enriched LinkedIn profiles into your LinkedIn DM tool
• Trigger sends — AI-written emails and DMs that fire as soon as leads are enriched
• Push to CRM or Notion for account-based workflows

You’re not just sending data — you’re sending value tailored to each lead’s context, needs, and timing. That’s the difference between generic outreach and messages that convert.

🧪 Real example: selling to SaaS teams

Say you sell a SaaS product that helps startups manage their teams better. Here’s how the four steps come together.

1. Find fast-growing SaaS companies hiring SDRs or AEs

Scrape boards like LinkedIn and Wellfound to track active job listings. Or use built-in Sync GTM signals to find startups with recent funding or rapid headcount growth. You can also set up social listening to catch founders posting about team expansion.

2. Enrich with deeper company and tech data

Pull in CRM and sales stack info (HubSpot, Salesforce), total funding rounds, hiring velocity, and key leadership profiles. Enrich founder bios to see if they’ve scaled teams before, or if they’re hiring reps for the first time.

3. Transform into a sales-readiness profile

Classify each company by team size, sales maturity, and tech stack complexity. Use AI to generate a “Ramp Risk Score” from job descriptions, onboarding mentions, and support structure gaps.

4. Reach out with tailored messaging

Mention that you saw they’re hiring 3+ reps with limited onboarding support. Include a custom audit or email with insights like:

“Companies using [CRM] often struggle to ramp new reps fast — here’s how we helped [similar startup] cut ramp time by 40%.”

Add a personalized landing page, a free tool built with Lovable or Webflow, a personalized audit, or a custom video with HeyGen.

🧭 Summary

This framework is how to think about AI workflows in your GTM motion. From finding intent-rich leads to creating personalized content, every step is modular and repeatable — and it all happens inside a single table.