Workflow · Outbound at scale

Outbound that reads like your most thoughtful rep.

Signal-based prospecting. Multi-channel sequencing. Reply handling. Built around your ICP, not a template.

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The bottleneck

Templated outbound averages 0.4%. Personalized-at-scale gets 4×+.

0.4%
Average reply rate on templated outbound across the industry
4×+
Reply-rate lift on signal-personalized outbound in production
$185K
Annual cost of an SDR who never ships at this quality

Outbound stopped working when every team bought the same tool, wrote the same template, and pointed it at the same list. The teams winning now are running signal-based prospecting on first-party data, writing variants weekly, and routing replies to a human in minutes. That work doesn't fit a 12-person SDR team and a quarterly playbook. It fits an engineer in your Slack who treats the prospecting graph like product and ships every week.

How we work

Four weeks. From silence to signal.

  1. Week 01

    ICP defined.

    Closed-won deconstruction, win/loss interviews, firmographic and behavioral pattern mining. Your ICP modeled from data, not a workshop. Persona, firmographics, and intent signals locked. Prospect universe built, scored, and loaded into your CRM.

  2. Week 02

    Sequences live.

    Multi-touch email + LinkedIn cadences deployed from warmed inboxes. Every message tuned to the signal that surfaced the prospect — not the same opener for every account. Personalization tested, booking link wired, reply routing live in Slack.

  3. Week 03

    Replies route.

    Inbound responses triaged in your Slack within minutes. Hot replies escalated to your AEs same-day, with a one-pager on the account. Objection handling, soft passes, and unsubscribes auto-routed. Daily standup with the deployed engineer.

  4. Week 04

    Pipeline flows.

    Weekly reports on reply rate, meeting rate, and pipeline by sequence. A/B tests on subject lines, openers, CTAs, and signal weights. Volume ramped across the inbox pool. Continuous optimization off live data — not quarterly playbook resets.

In production

How it looks in production.

Case 01 · Series A AI infrastructure startup

Rebuilt the prospecting graph in 28 days.

Problem.

Outbound stack of four point tools and one SDR delivering a 0.4% reply rate. No signal layer. No first-party data in the prospecting graph. Tools-evaluation mode disguised as outbound.

What we did.

A forward-deployed engineer rebuilt the prospecting graph on top of their closed-won data, replaced the sequencer, and ran the entire motion from a shared Slack channel for 60 days. We tuned message frames off live reply data weekly.

+5.8×
Reply rate
$1.2M
Pipeline · 60 days
“We stopped being a tools-evaluation team and started being a sales team.”— Head of Revenue
Case 02 · Series B fintech running ABM into top-50 banks

Landed 7 named accounts in one quarter.

Problem.

Strategic 50-account target list. Generic outbound was not going to break in — these were buyers who got 60 cold emails a week. Sales team needed a per-account approach but had no bandwidth to research, draft, and follow up.

What we did.

One sequence per account, written off public signals. Each touch referenced something specific — a hire, a product launch, a regulatory filing, an exec quote. We ran the motion from the founder's email and routed every reply to a private Slack channel with the account context one click away.

7
Named accounts opened
$3.4M
ACV in pipeline
“I've never had outbound that actually sounded like me. They wrote in my voice better than I write in my voice.”— Founder & CEO
Case 03 · Cybersecurity startup with a 200k CRM list

Reactivated a dormant CRM into 38 demos.

Problem.

200k contacts in HubSpot from three years of trade shows, webinars, and ungated whitepapers. List was rotting — no segmentation, no sending discipline, no recent contact. Marketing said "the list is dead." Sales said "give us new leads."

What we did.

Cleaned, segmented, and re-warmed the list in 90 days. ICP-scored against closed-won data. Pulled out the 12k accounts that mattered. Built per-segment sequences keyed off original engagement context ("You downloaded our SOC2 guide in 2024"). Ran on isolated sending infra so the primary domain stayed clean.

38
Booked demos · 90 days
$1.8M
Pipeline from a list everyone wrote off
“Turns out the list wasn't dead, it just hadn't been talked to like a human in three years.”— VP Marketing
Free calculators

Plug in your numbers — do the math.

Calculator

Multi-channel calculator

Target meetings → required reply rates → email + LinkedIn footprint. See the infrastructure size required for your pipeline goal.

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Calculator

LinkedIn outreach calculator

How many people you can reach per seat per week without burning accounts. Realistic ceilings by account tier.

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Knowledge base · For founders

Read the outbound playbook.

Get started5 min

Curated reading paths by stage

Pre-seed / batch, post-PMF, Series A scaling — sequenced reading paths through the knowledge base for each stage of company.

Read the guide
ICP + Lists8 min

ICP and list-building

Closed-won deconstruction, first-party signals, hypothesis testing, prospect-graph construction. The upstream of every outbound motion.

Read the guide
Copy + Campaigns9 min

Cold copy and campaign architecture

Principles of good cold copy, subject lines, CTAs, personalization at scale, multi-touch sequencing, multi-channel orchestration.

Read the guide
Browse all 74 guides in the knowledge base →
Frequently asked

Common questions.

How fast can you start?
Forty-eight hours from Slack invite to engineer in your channel. First prospect list ranked within a week. First sequence live by week two.
Do I need to bring my own ICP, or do you build it?
We build it. Closed-won deconstruction, win/loss interviews with your AEs, firmographic pattern mining off your CRM. Your team approves the final ICP before we touch a sequence.
What if you can't beat our current reply rate?
We tell you within four weeks and stop billing engineering. If the data says outbound isn't the right wedge for your motion, we won't try to keep the deal alive.
What CRMs do you support?
Salesforce, HubSpot, Pipedrive, Attio, Close, and anything with an API. We write attribution back to whichever object model you use, so your AEs see the source on every booked meeting.
Will my AEs hate the leads you send?
Not in any production deployment so far. Hot replies route to your AEs with a one-pager on the account and the signal that surfaced them. The reps stop seeing the spammy bottom-of-funnel stuff.
Are you an agency?
No. We're an engineering team. The person in your Slack writes code, tunes the model that scores your prospects, and reads every reply in the first thirty days.
Let's talk

Ready to ship?

A senior engineer in your Slack within 48 hours. First working sequence in 14 days. Production-grade outbound running by week four.

Talk to us today →
Or email phillip@allstonlabs.com