CRO
For CRO

Pipeline visibility. Rep productivity.
GTM efficiency.

One workspace gives you a single view of how agents are performing, where pipeline is building, and whether reps are using the intelligence RevOps built for them.

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You can't fix what you can't see

Most CROs have pipeline numbers but no visibility into how that pipeline was built, whether reps are executing the playbook, or what their GTM stack actually costs per dollar of revenue.

Pipeline is a black box

You know the number, but not how it was built. Was the account properly qualified? Was the outreach personalized or spray-and-pray? You can't tell from the CRM.

Rep productivity varies wildly

Top performers do their own research and prep. Everyone else wings it. There's no consistent execution standard and no way to measure who's on-playbook.

Tool sprawl kills ROI

Enrichment, sequencing, coaching, lead databases — 3 to 5 tools with overlapping licenses, no unified reporting, and no clear cost-per-meeting metric.

Everyone has the same data. Context is what separates you.

Data-driven GTM hit its ceiling. Bolting AI onto templates doesn't fix the problem — it scales it. The next generation of GTM is built on systems of context: deep research at every stage, not shallow data piped into generic sequences.

Data-driven playbook Context-driven playbook
Research Firmographic filters: industry, size, country Agent-led: website analysis, signals, hiring, tech stack, funding
Qualification Static ICP lists from a database Dynamic scoring against your verticals with evidence trail
Outreach Templates with {data variables} + AI rewrite Per-contact plays calibrated to persona, DISC, and research
Coaching Generic frameworks, optional, unmeasured AI roleplay with your buyer personas, scored against your playbook
Data ownership GTM engineer bottleneck — AI locked in one person's spreadsheet RevOps + reps share digital colleagues — no bottleneck
Prospect experience Feels scraped, not understood Feels like a peer-to-peer conversation

Data-driven vs Context-driven GTM

We built a detailed comparison showing how the two approaches differ across research, qualification, outreach, and economics. If you're evaluating whether your current GTM motion has reached its ceiling, this is the page to read.

Read the full comparison
Context isn't a feature. It's 10 agents building a unique context window for every account and contact.

One workspace. Full visibility.

Evergrowth gives the CRO a single pane of glass across pipeline quality, rep execution, coaching adoption, and GTM cost.

See how pipeline is built

Every account has a qualification score, research trail, and outreach history. You can trace exactly why an account is in the pipeline — and whether it belongs there.

Measure rep execution

Track who's using agent-generated plays, who's practicing with roleplay, and who's going off-playbook. Identify coaching gaps before they become pipeline gaps.

Consolidate GTM spend

Replace 3 to 5 point solutions with one workspace. One contract, one source of truth, one cost-per-meeting metric to optimize against.

Your GTM dashboard

Four lenses on the same workspace — pipeline, productivity, coaching, and cost.

Pipeline quality

Every account is agent-qualified against your ICP with a research-backed score. No more "looks good on paper" deals clogging the funnel.

Rep efficiency

6+ hours per week back per rep. Research, enrichment, and outreach writing handled by agents — reps focus on conversations and closing.

Coaching adoption

Track roleplay sessions, coaching scores, and playbook adherence across the team. See who's practicing and who needs attention — before it shows up in quota attainment.

Cost consolidation

One platform replaces enrichment vendors, sequencing tools, coaching platforms, and lead databases. Credit-based pricing means agents use APIs, not seat licenses.

From disconnected stack to unified intelligence

The ATC gives you a single source of truth for GTM strategy — and every metric traces back to it.

Disconnected GTM stack

Metrics scattered. Execution invisible.

Pipeline numbers with no quality trail
No visibility into outreach personalization
Coaching is optional, generic, and unmeasured
Per-seat licensing across 3-5 tools
Unified Evergrowth workspace

One source of truth. Full traceability.

Every deal traceable to ICP score + research evidence
Every play tied to persona, DISC, and value prop
Coaching scored against your playbook, tracked per rep
Credit-based pricing — agents use APIs, not seat licenses

The economics of context-driven GTM

Fewer reps, higher quotas, better attainment. The workspace pays for itself by consolidating tools and multiplying rep output.

Data-driven model
Team8 SDRs + 8 AEs
Tools cost$72K/yr
Total GTM cost$1.85M/yr
Quota / AE$900K
Achieved$2.2M (31% attainment)
$0.84
Cost per $1 of revenue
Context-driven model
Team2 SDRs + 4 AEs + agents
Tools cost$48K/yr
Total GTM cost$878K/yr
Quota / AE$990K
Achieved$3.5M (90% attainment)
$0.25
Cost per $1 of revenue

Calculate your ROI

13 agents. One workspace. Full visibility.

This is the GTM engine your team operates on. Every agent run, every qualification score, every play — visible from a single dashboard.

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