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AI CUSTOMER ACQUISITION

The customer acquisition system that learns what works.

Research the right accounts, run personalized outreach, and turn every reply, objection, and win into a sharper next campaign.

Built for B2B teams where customer context and judgment matter

account-workbenchai-researchacquisition

Account Workbench

AI-researched accounts with fit scores, signals, and drafted actions — ready for your review.

AccountFitNext step
Northwind LabsNeeds review
Strong
Send LinkedIn intro — draft ready
HarborlineApproved
Strong
Ask Sarah for intro this week
Quilt & CoSent
Good
Sequence queued, starts Mon
CedarstackReplied
Strong
Call booked for Thursday
LumenfieldResearching
Good
Draft collab brief
What the system learned — last 8 campaigns
Top-performing segmentSeries B SaaS, 50–200 employees — 3.2× close rate
Messaging that works"Scaling outbound" angle — 41% open rate vs 18% avg
Best signalVP Sales hire → reach in 72h → 2× reply rate
ReprioritizedPLG-first accounts moved to tier 2 based on last 3 campaigns
— The problem

Your GTM stack stores activity. It doesn't learn from it.

CRMs, sequencers, and enrichment tools record what happened — but nothing feeds back into the next campaign. Which accounts converted? Which pitch killed the deal? Which signal predicted a win? That knowledge sits in closed tabs and old emails. DeepVista writes every interaction to a shared customer context and reads it back on the next run.

01Research the right accounts
ICP: B2B SaaS, 50–500 employees, scaling sales
  • Northwind Labs — Series B raised, +12 SDR hires94
  • Harborline — new VP Sales, competitor churned87
  • Quilt & Co — 4 SDR roles posted this week71

47 accounts researched · 12 flagged for review

DeepVista scans your ICP against buying signals — hiring surges, funding rounds, competitor churn, job changes — and surfaces accounts worth your time, scored and ranked.

02Turn data into a decision
AI recommendation — 3 accounts ready for decision
  • Northwind LabsSeries B + hiringFounder outreach
  • HarborlineJob change + churnWarm intro via Sarah
  • Quilt & CoSDR hiring signalOutbound sequence
    Review

You approve or correct · AI learns from both

Every account gets an AI-drafted recommendation: fit score, best action, and the evidence behind it. You approve, skip, or correct — and the system learns from all three.

03Run the outreach
50 personalized drafts ready · reviewed in ~30 min
  • Maya Chen — Northwind LabsCongrats on the Series B — scaling GTM is exactly where teams like yours…
    Sent
  • Eli Vargas — HarborlineSarah mentioned you recently made the switch — happy to share how…
    Replied
  • Priya Nair — Quilt & CoSaw the SDR postings — a lot of teams hiring fast find the ramp time…
    Queued

Personalized messages drafted in batch — one per account, referencing the signal that made it relevant. Fifty follow-ups reviewed and sent in ~30 minutes instead of five hours.

04Learn what actually works
Learning captured from last campaign
Series B + hiring = strongest signal+3.2×
"Scaling outbound" angle — 41% open rate+2.1×
PLG-first accounts moved to tier 2Reprioritized
Next campaign starts smarter

Every reply, objection, meeting, and win updates what DeepVista knows about your buyers. The next campaign starts from that knowledge — not from scratch.

Traditional GTM stack
DeepVista
Research
Manual searches, spreadsheets, fragmented signals
Automated ICP research with scored, prioritized accounts
Execution
Templates sent to cold lists without context
Personalized outreach referencing the signal that made it relevant
Outcomes
Open rates tracked, win/loss rarely recorded
Every reply, objection, meeting, and close written back to context
Team knowledge
Exits when a rep leaves
Stays in shared context — every team member builds on it
Next campaign
Starts from scratch — same as the first
Starts from what the last one taught it
— Playbooks on one system

Every playbook runs on a single customer context.

One shared context, task-specific views. Research, signals, and expansion all feed the same record — so every team member builds on what every other team member learned.

01Outbound Research

From ICP to pipeline — without starting from scratch each time

  1. 01Define your ICP once. DeepVista researches accounts, scores signals, and ranks them by fit.
  2. 02Review the shortlist. Each account comes with a why-now reason and a recommended first action.
  3. 03Approve the outreach. Personalized drafts in batch — 50 follow-ups reviewed and sent in ~30 minutes.
  4. 04Capture what works. Replies, objections, meetings, and closes feed back into the next campaign.
Read the tutorial
— Real workflow

50 personalized follow-ups in 30 minutes, not 5 hours.

DeepVista drafts each message from the account's actual context — their signals, your past conversations, and the pitch that has worked for similar buyers. You review, adjust, and approve. Not paste and pray.

Before5 hours50 personalized customer follow-ups — reviewed and sent
With DeepVista~30 minutes50 personalized customer follow-ups — reviewed and sent
“DeepVista replaced hours of manual outreach every week while helping us reach more qualified customers.”

— Head of Growth, B2B SaaS

The customer acquisition system that learns what works.

Start your first campaign today. Every reply, objection, and win makes the next one sharper.

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