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Case study

20-30 qualified meetings a month per seat.

An outbound system that finds ideal prospects and books them onto your calendar

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20-30qualified meetings booked per month, per seat

Outbound, every month

Client
Running for TechDevs and 3 client sales teams
Engagement
B2B meeting-booking system
Led by
Prasad Iyer

The outcome

Where it started. Where it is now.

MeasureBeforeAfter
Prospects researchedBy hand, most of the rep’s week2,800+enriched and scored a month
Positive reply rateGeneric sequences5.1%email + LinkedIn
Qualified meetingsDepended on one rep’s week20-30a month, per seat

The situation

Reps were researching, not selling.

SDR math is brutal: a rep spends most of the week researching and copy-pasting, and the pipeline still depends on their mood. Founders doing their own outbound is worse.

What we found

  1. 01

    A rep spends most of the week finding prospects and copy-pasting their details.

  2. 02

    Pipeline rises and falls with how that one person’s week went.

  3. 03

    Founders doing their own outbound between meetings is worse: the follow-ups are the first thing to slip.

Rep calendar · week viewSelling time: slivers
  • Research prospects
  • Copy-paste into CRM
  • Find emails
  • Calls

Schematic of a typical rep week · not drawn from time logs

The strategy

Let the system do the research. Let people take the meetings.

Outbound is five jobs that usually sit on one person: find the right companies, learn enough to say something relevant, write and follow up, sort the replies, and book the call. We built each job as its own stage, so the work runs every day whether or not anyone has time, and a person only steps in for objections and the meeting itself.

  1. Starting point

    Reps were researching,

  2. Stage 01 · Discover

    Build the list from signals, not a database dump

    • Firmographic filters
    • Hiring signals
    • Tech-stack detection

  3. Stage 02 · Enrich

    Give every lead a reason to reach out

    • Verified email
    • LinkedIn activity
    • Recent funding

  4. Stage 03 · Sequence

    Multi-touch sequences, spaced like a human

    • Email and LinkedIn
    • Personalised per lead
    • Human spacing

  5. Stage 04 · Route

    Sort every reply in seconds

    • Interested: booking link
    • Objection: routed to a human

  6. Stage 05 · Book

    Meetings land with the context attached

    • On the calendar
    • Prospect context attached

  7. Outcome

    20-30

    qualified meetings booked per month, per seat

Execution

What we did, move by move.

Each move below is a piece of the strategy above, with a drawing of the work as it ran.

Stage 01 · Discover

Build the list from signals, not a database dump

The ideal-customer list is rebuilt continuously from firmographic filters, hiring signals and tech-stack detection, so the system reaches companies at the moment they are likely to need you.

  • Firmographic filters
  • Hiring signals
  • Tech-stack detection
Prospect discovery · ideal customer Rebuilt daily

1Firmographic

Industry: B2B softwareHeadcount: 50 to 200Region: US, UK

2Hiring signal

Hiring SDRsPosted this month

3Tech stack

Uses a CRMNo sequencing toolSite on a CMS
  • Company AB2B software · USChecking
  • Company BRetail · UKChecking
  • Company CB2B software · UKChecking
  • Company DB2B software · USChecking
  • Company EB2B software · USChecking
  • Company FAgency · USChecking
  • Company GB2B software · UKChecking

Illustration of the method · companies are placeholders

Stage 02 · Enrich

Give every lead a reason to reach out

Each prospect gets a verified email, their recent LinkedIn activity, any recent funding and one specific reason to get in touch. That reason is what makes the first line read like it came from a person.

  • Verified email
  • LinkedIn activity
  • Recent funding
  • A reason to reach out
Enrichment · lead dossierEnriching
Person N.Head of Sales · Company A
Emailp•••@company-a.com Verified
LinkedIn“Building out the sales team this quarter. Hiring SDRs.”
CompanyRecent funding roundHiring SDRs

Reason to reach out

New funding and a growing SDR team: research time per rep is about to multiply.

First lineSaw you are hiring SDRs after the round. Before they start, one question about how they will find prospects…

Illustration · person and company are placeholders

Stage 03 · Sequence

Multi-touch sequences, spaced like a human

The system writes a personalised sequence across email and LinkedIn and spaces the touches the way a careful rep would, so the follow-up never slips and never feels automated.

  • Email and LinkedIn
  • Personalised per lead
  • Human spacing
Sequence · Person N., Company AEmail + LinkedIn
  1. Day 1Tue 09:42EmailSaw you are hiring SDRs after the round…
  2. Day 3Thu 14:10LinkedInConnection note: enjoyed your post on team building
  3. Day 7Mon 08:55EmailOne idea on cutting ramp time for new reps…
  4. Day 9Wed 16:27LinkedInComment on their latest post about hiring
  5. Day 14Mon 11:03EmailLast note from me, and a short case to read…

Illustration · spacing and copy are an example, names are placeholders

Stage 04 · Route

Sort every reply in seconds

Replies are classified as they arrive. Interested prospects get a booking link straight away; objections and anything unusual go to a person, with the full thread attached.

  • Interested: booking link
  • Objection: routed to a human
Reply handling · inboxClassifying
Incoming
Person N. · Company ASounds useful. Can we talk next week?

Interested

Booking link sent

Objection

To a person, thread attached

Out of office

Snoozed until return

Illustration · people and companies are placeholders

Stage 05 · Book

Meetings land with the context attached

The call appears on the calendar with everything the system learned about the prospect, so the person taking it starts the conversation already prepared.

  • On the calendar
  • Prospect context attached
Calendar · this week Booked by the system
MonTueWedThuFri
Intro callCompany ACo. AIntro callCompany DCo. DIntro callCompany GCo. GIntro callCompany JCo. JIntro callCompany KCo. KIntro callCompany MCo. M

Mon 11:00 · Intro call

Person N., Head of Sales · Company A

  • Why now New funding, hiring SDRs
  • Thread Replied to email 2, asked for times
  • Email Verified
  • Opener Ask how new reps will find prospects

Illustration · companies and times are placeholders

How it ran

The engagement, in order.

  1. 1

    Step 1

    Define the buyer

    Ideal customer written as filters and signals the system can search for.

  2. 2

    Step 2

    Wire the data

    Discovery and enrichment running daily, every email verified.

  3. 3

    Step 3

    Write and route

    Sequences live across email and LinkedIn, replies classified and routed.

  4. 4

    Step 4

    Book and repeat

    Running for TechDevs and three client sales teams: 20-30 qualified meetings a month per seat.

The evidence

From thousands of prospects to a full calendar.

One month of the system, per seat, from enrichment to booked meeting.

One month · per seat

Running for TechDevs and 3 client sales teams

  1. 01Prospect discovery
  2. 02Enrichment
  3. 03Nurture sequencing
  4. 04Reply handling
  5. 05Calendar booking
2,800+
prospects enriched and scored per month
5.1%
positive reply rate across email + LinkedIn
20-30
qualified meetings booked per month, per seat

  1. 01Prospect discovery

  2. 02Enrichment

    2,800+prospects enriched and scored per month

  3. 03Nurture sequencing

  4. 04Reply handling

    5.1%positive reply rate across email + LinkedIn

  5. 05Calendar booking

    20-30qualified meetings booked per month, per seat

Band widths are schematic. The three figures are the system’s monthly results.

What carries over

Three things to take into your own business.

  1. 01

    Research is the expensive part

    Writing the email is quick. Knowing who to write to and why is what eats the week. Automate that first.

  2. 02

    A reason beats a template

    Replies come from a specific reason to reach out, not from clever copy.

  3. 03

    Hand objections to people

    The system books the easy yeses. A human handles the conversations that need judgement.

The service behind this

AI outbound

See how we run this as a repeatable engagement, not a one-off.

View the service

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Who led it

Prasad runs this kind of work.

Prasad Iyer, Co-founder · CTO, AI & operations

Co-founder · CTO, AI & operations

Prasad Iyer

Runs engineering and the AI division. Builds the systems the marketing runs on: multi-agent content pipelines, outbound booking agents and operations dashboards.

Read more

What happens next

  1. Answer a few quick questions about your business. About two minutes.
  2. Pick a time that suits you for a free 30-minute call with a founder.
  3. We study your site before the call, so you leave with a plan, not a pitch.
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