Sales Intelligence & Outreach
Signal-based outbound. Built by operators. Priced on outcomes.
We run signal-triggered outbound for B2B SaaS teams — not volume campaigns, not AI-SDR demoware.
Start with a 6-week Performance Pilot: you pay per Stage-2-qualified meeting, or you don't pay.
Signal-to-meeting pipeline
Signal detected
Hiring surge · Funding · Tech change · Intent
ICP matched & researched
Decision-maker identified · Context built
Hyper-personalised outreach
1-of-1 message · Not a template blast
Stage-2 meeting booked
You pay per qualified meeting
Pay per Stage-2 meeting
From $300/meeting · 6-week pilot
Performance-based pricing
No meetings = no charge
Who this is for
A narrow ICP on purpose:
- B2B SaaS selling into ops, RevOps, data, or engineering leaders
- $25K–$250K ACV (precision beats volume at this price point)
- 10–500 employees, seed through Series C
- Usually US-based with expansion into UK/EU; India teams selling to US
- A named champion persona, clear first-meeting definition, and a real sales team to run discovery
Not for us
- Agencies reselling outreach
- Low-ACV transactional e-commerce
- Anyone looking for “100 meetings a month” volume plays
We'd rather send you to a volume shop than take the deal and fail.
The real problem
You've already tried:
- An Apollo + Instantly stack stitched together in-house
- An “AI SDR” platform (11x, Artisan, Regie) that wrote confident emails to the wrong people
- A done-for-you agency (Belkins, Martal, Lemlist DFY) that sent 20,000 emails and booked 4 meetings
- A human SDR you hired, onboarded, and watched churn in 9 months
Signal quality beats send volume.
In 2026, reply rates are a function of signal quality, not send volume. Gmail and Yahoo's 2024 sender rules killed spray-and-pray. Autonomous AI SDRs still hallucinate signals.
Teams winning outbound now run precision, signal-triggered plays with human-in-the-loop copy. We're one of the few agencies who do it.
How we run outbound
Signal-first, not list-first. We monitor 20+ sources and trigger plays when signals fire — not when a list is ready.
Signal-first, not list-first
We don't build a 50,000-lead list and blast templates. We wait for intent and act fast.
Signal sources we track
- Funding events
- Executive moves
- Job postings
- Tech-stack changes
- Competitor churn signals
- Intent data (Bombora, 6sense, Common Room)
- Warm-visitor de-anonymization
- LinkedIn engagement
Response speed matters.
Speed-to-contact is part of the play. We run SLAs from 60 minutes to 48 hours depending on the signal.
Every play has a kill criterion, and every campaign has a named owner you can Slack.
Named signal plays we run
Plays are defined by signal source, speed-to-contact, channel mix, and benchmark reply rate.
The Funding Trigger Play
- Signal source: Series A/B/C announcements with $10M+ round sizes, matched to ICP fit
- Speed-to-contact SLA: 60 minutes from signal fire
- Channel mix: LinkedIn DM + email + optional voice follow-up
- Benchmark reply rate: 12–18% reply rate (last 6 months, aggregated across SaaS clients)
The New-VP Play
- Signal source: LinkedIn job-change notifications for VP/Head-of roles in target functions
- Speed-to-contact SLA: 24 hours from detection
- Channel mix: Engage on announcement post → DM → email
- Benchmark reply rate: 14–22% reply rate
The Competitor-Churn Play
- Signal source: Intent spikes on competitor-alternative keywords + G2 review triggers + support-ticket chatter
- Speed-to-contact SLA: 48 hours
- Channel mix: Email + LinkedIn with a specific “here’s how we handle the pain buyers leave X for” angle
- Benchmark reply rate: 9–14% reply rate
Additional plays we run per client
Execution details that protect your brand
Signal quality gets replies. Deliverability and safe LinkedIn ops keep your domains and accounts intact.
Human-written copy, not LLM wrappers
Copy is written by a human SDR-copywriter on our team, assisted (not replaced) by AI for research and first-line personalization. Every sequence is reviewed and owned by a named operator.
Deliverability infrastructure
Dedicated secondary domains, inbox-level warming, per-inbox send caps (40/day), and placement monitoring via Google Postmaster + GlockApps. Automatic pause triggers if open rate dips below 60%, bounce >3%, or spam complaints rise.
LinkedIn, safely
Sales Navigator + Heyreach with residential IPs, daily caps enforced (15 connection requests, 30 engagement touches, 5 InMails). Engagement-based warming before requests and zero browser-automation patterns LinkedIn flags.
Reply handling + qualification
Replies triaged within the hour. Interested replies get a human response, not-now replies enter nurture, and spam/unsubscribe handled automatically. Qualified meetings auto-book with full lead context.
The offer
Start with a performance pilot. If it works, we scale. If it doesn't, you don't pay for missed outcomes.
Performance Pilot (recommended)
6-week engagement. Pay per Stage-2-qualified meeting. If we can't hit 8+ Stage-2 meetings at your qualification bar, we don't get paid.
- Price: $300–$500 per Stage-2-qualified meeting (based on ICP complexity, ACV, geography)
- Setup: $2,500 one-time (domains, warming, Clay tables, copy, ICP workshop, CRM integration)
- Volume: ~500 tier-1 accounts over 6 weeks, not 5,000
- Commitment: 6 weeks, no contract rollover
Stage-2-qualified = prospect attended the first call, confirmed problem fit, agreed to a technical/demo conversation. Not a calendar-fill. Not a ghosted show.
Retained Signal Program
For teams past pilot stage who want scale. Monthly retainer + shared KPIs on pipeline and opportunities created.
- Monthly retainer + shared KPIs on pipeline and opportunities created, not meetings
- Starts at $7,500/month for single-play + single-inbox setups
- Scales to $20,000+/month for multi-play, multi-channel programs with voice follow-up
- Quoted after a pilot, never sold upfront
Case snippets
Proof matters. These placeholders will be replaced with real or anonymized numbers before launch.
Series B HR-tech, $35K ACV, New-VP Play, X meetings in 6 weeks, Y advanced to Stage 2
India-based dev services firm selling into US mid-market, Funding Trigger Play, reply rates + pipeline outcome
US vertical SaaS, Competitor-Churn Play, ACV + meetings + close rate
Note to Himanshu: these placeholders need real or anonymized numbers from actual ConverseAI engagements before launch. Case specificity is the #1 proof gap flagged by the outbound review.
How we compare
Honest framing: if you want a pure SaaS dashboard, go with 11x or Artisan. If you want a Clay power-user and DIY execution, hire a freelancer. We fit when you want signal plays run end-to-end on outcomes.
| ConverseAI | 11x / Artisan | Clay freelancer | Belkins / Martal / volume DFY | In-house SDR | |
|---|---|---|---|---|---|
| Motion | Signal-first, human-assisted | Autonomous AI SDR | Clay-heavy, DIY support | Volume + templated sequences | Whatever you train |
| Hallucination risk | Low (human review every send) | Medium (autonomous) | Low (you review) | Low | Low |
| Speed to 8+ meetings | Weeks 4–6 | Weeks 2–4 (if ICP fits) | Depends on your time | Weeks 6–10 | 6–12 months with ramp |
| Deliverability management | Included, monitored | Platform-dependent | Your problem | Usually included | Your problem |
| What you get | Operator-run signal plays | Autonomous agent + dashboards | Tables + your execution | Volume + weekly reports | Your own hire |
Why ConverseAI
- Operator-run, not marketer-run. We’ve worked in-house at B2B SaaS before building this practice.
- Signal depth over Clay depth — the wedge is the plays we’ve refined, not the tables we can build.
- Inbound conversational AI as a bolt-on for rapid qualification of inbound replies.
- Performance pilot with real skin in the game — outcomes, not volume reports.
- India + US delivery: engineering and ops in Jaipur, copywriting in US-native voice.
Outcomes we aim for
- 8–14 Stage-2-qualified meetings per quarter for $25K–$75K ACV clients
- 10–20%+ reply rates on signal-triggered sequences (median across recent clients)
- 95%+ inbox placement measured via Google Postmaster + GlockApps seed tests
- Zero banned LinkedIn accounts, zero burned primary domains in our operational history
- First meetings booked in weeks 3–4, steady state from week 5
We won't promise 60 meetings/month. Volume isn't the lever at this ACV. Precision is.
FAQs
Does AI cold outreach actually work in 2026?
Yes, when it’s signal-triggered and human-assisted. Gmail and Yahoo’s 2024 sender rules killed spray-and-pray. Precision plays with per-inbox caps and weekly placement monitoring still win.
How is this different from 11x or Artisan?
They sell autonomous AI SDRs. We run signal plays with humans writing copy. Autonomous agents hallucinate signals and burn domains; they can work when ICPs are broad and markets are huge.
Will my domain get blacklisted or my LinkedIn banned?
Not on our watch. We use dedicated secondary domains, enforced send caps per inbox, residential IPs for LinkedIn, and engagement-based warming. Zero banned accounts or burned primary domains so far.
Who writes the copy — a human or an LLM?
A human SDR-copywriter on our team, with their name attached to every campaign. AI assists with research and first-line personalization, but does not write sequences end-to-end.
What happens if the campaign doesn’t work in month 1?
Our pilot has explicit kill criteria defined in week 1. If we’re off at week 3, we pivot ICP, angle, or signal source with you. If we’re off at 6 weeks, the pilot ends and you pay only for qualified meetings booked.
How do you handle CAN-SPAM, GDPR, and Gmail/Yahoo 2024 sender rules?
SPF, DKIM, DMARC, BIMI configured per domain. Unsubscribe links on every email. DNC + GDPR suppression lists maintained. Postmaster and seed tests monitored weekly.
Will this cannibalize our existing SDR team?
Usually no. We run different plays than in-house SDRs — the speed-to-signal, niche-signal plays your team doesn’t want to interpret. We share data weekly to avoid overlap.
Who owns the data and infrastructure?
Your CRM records and lead data are fully yours. The domains and inboxes stay under our operational control during engagement because we warm and maintain them. Offboarding includes full documentation and optional domain transfer.
How long until the first meetings?
Typical: weeks 3–4 for first meetings, week 5 onward is steady state. Domain warming takes 2–3 weeks regardless of agency — no shortcut exists.
Clay vs Apollo vs your setup — which do we need?
For B2B outbound in 2026: Clay for enrichment, Apollo as a data source inside Clay, Smartlead/Instantly for sending, Sales Nav + Heyreach for LinkedIn. We run all of it.