GrowthGrid Proof

200+ sales calls booked for B2B clients.

Cold email and LinkedIn, run from warmed infrastructure, with every meeting qualified for budget and authority before it reaches your calendar.

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We go through your ICP, what you've already tried, and whether what's on this page might be relevant to your market.

  • 200+

    Sales calls booked for B2B clients

  • 120+

    Sales meetings in 6 months for Glassix

  • 90%+

    Show-up rate, 30 days, for one client

  • 20

    Appointments booked in 30 days for one client

Glassix, in their own words

Glassix is a unified messaging and CX platform. Their VP of Marketing at the time recorded this himself. 33 seconds.

“In just six months, GrowthGrid delivered a steady stream of qualified leads and over 120 sales meetings. Real conversations. Not just names in a spreadsheet.”

Ran Yosef, VP Marketing, Glassix
Exhibit 01Ran Yosef, then VP Marketing at Glassix. Captions available on the player.
Read the transcript

“Hey everyone, I'm Ran Yosef. I've been VP Marketing at Glassix. When we partnered with GrowthGrid for B2B SaaS lead generation, we were early stage with low brand awareness — people didn't really know about us yet. In just six months, GrowthGrid delivered a steady stream of qualified leads and over 120 sales meetings. Real conversations. Not just names in a spreadsheet. If you're a SaaS team looking for a predictable pipeline, I definitely recommend GrowthGrid.”

Meetings and conversations generated at:

  • Microsoft
  • Deloitte
  • Endeavour Group
  • Altium
  • AeroPress
  • Bright Horizons
  • Evoke / 888 Holdings

None of these companies are GrowthGrid clients. Each one is a company a GrowthGrid client asked us to reach, and where we generated a meeting or a live conversation with a decision-maker. They bought nothing from us. We were the outbound channel that got our client in the room.

Three engagements, with the numbers

Case study 01

Glassix

Glassix — unified messaging and CX platform.

Situation

Meetings were coming in at 0–1 per week, ad hoc, whenever someone had time to prospect.

What we did

  • Targeted Biz Dev and Partnerships titles at IT consulting firms and telcos, rather than technical buyers.
  • Ran 3 humanized LinkedIn accounts (500+ connections each) alongside 30 warmed inboxes, on separate lists per channel.
  • Sent the same hook on both channels, framed as a partnership rather than a pitch, with a three-touch follow-up.

Results

  • 4–5 demos booked per week, consistently: 2–3 from LinkedIn, 2–3 from email. Up from 0–1 ad hoc.
  • 35% reply rate on LinkedIn.
  • 1% interested-reply rate on email at 300 emails/day.
  • 450 LinkedIn requests/week and 1,500 emails/week produced those 4–5 demos.
  • 3 accounts × 150 requests/week × 27% acceptance came out to roughly 50 conversations/week.
  • 120+ sales meetings in total, over six months. Their number, on video, not ours.

Their VP of Marketing, on camera

"When we partnered with GrowthGrid for B2B SaaS lead generation, we were early stage with low brand awareness — people didn't really know about us yet. In just six months, GrowthGrid delivered a steady stream of qualified leads and over 120 sales meetings."

The hook that won (identical on both channels)

"Found your profile and thought it might make sense to connect regarding a partnership opportunity. Can I share more info, or is there someone else who handles partnerships at {COMPANY}?"

Why it worked

"Partnership opportunity" lands against a biz-dev team's actual KPIs. Biz dev cares about margin, not tech specs. And "is there someone else?" lowers the ego barrier: it gives the reader a way to answer that isn't yes or no.

Follow-ups

Day 2: a 2-pager and a Calendly link, explicitly no pitch. Day 6: a mutual-benefit reminder. Day 12: a light touch.

What we took from it

Consistency beat volume. Partnership framing beat product framing. Separate lists per channel kept the data clean.

Case study 02

A GCP & AWS consulting partner

A GCP and AWS certified partner. Cloud migration and infrastructure for mid-market and enterprise across Europe.

Situation

No time for outbound, and burned by previous agencies that delivered unqualified leads. Their bar was narrow: $3k+/month in cloud spend or the meeting wasn't worth taking.

What we did

  • Month 1: tested everything. Industries, company sizes, titles, subject lines, angles, CTAs.
  • Month 2: scaled only what worked. Founders and CEOs responded best, so we pointed the whole campaign there.
  • Qualified hard before booking. Budget, timeline, authority, and cloud spend above $3k/month, or no meeting went on the calendar.

Results (first 30 days)

  • 20 appointments booked. The client's own sales team reviewed them against their own bar and marked all but one as qualified.
  • 90%+ show-up rate on those appointments.

Across the engagement (their dashboard, 12 months)

  • 4,210 prospects contacted. 129 replied. 27 of those replies were positive, logged as 27 opportunities in their Instantly dashboard.
  • 60+ calls booked in total.
  • Top of the resulting pipeline: one prospect at $60k/month in cloud spend, one at $50k/month. That is the prospect's cloud bill, not revenue.

From their CRM notes

"They did a cost estimation via the GCP calculator and landed on $50k/month."

Case study 03

3D Signals

3D Signals — Industry-4.0 machine-monitoring platform.

Situation

The ICP was US manufacturers running CNC, machining, precision, milling, drilling and laser cutting. Owners and C-level only. Defense turned out to be the hottest segment. Minimum viable deal: 15 machines.

What we did

  • Went straight at owners and C-level at US factories, not plant managers.
  • Targeted operations at or above the client's minimum deal size of 15 machines.
  • Kept running: the engagement started in November 2025 and is still going.

Results

Calls booked with US factory owners, with quality confirmed by the client after the calls. Their words, from WhatsApp, translated from Hebrew:

"Good call. Right company and right person (he's the new owner). He understands the value."

— 17.12.2025. The deal was delayed on the prospect's cash flow. A follow-up call was booked for 16.01.26.

"We spoke. It was a very good call. Let's see how it progresses. I also recommended you."

— 24.2.2026

What clients said after the calls

Booking a meeting is easy to claim. What matters is what the client says once they've sat through it. These are pulled from client Slack channels. Names and faces redacted.

Slack message from a client, sender name blacked out, timestamped 8:22 PM: "call went very well @Neta Arbel" followed by "could become a customer have a drill down call next week".
Exhibit 02A client, after an intro call: "call went very well @Neta Arbel / could become a customer have a drill down call next week"

Scroll the image sideways, or tap to open it full size.

Slack thread. Neta Arbel writes to the channel on Jun 26th: "hi let me know how the call goes today". Two replies from a client, name and avatar blacked out: "Hi! Sure. Thank you", then on Jun 27th: "The call went well. It was a good lead. Thank you".
Exhibit 03Same day as the call. Neta: "hi let me know how the call goes today." The client: "The call went well. It was a good lead. Thank you"
Slack message dated Jun 10 from a client, name and avatar blacked out: "the call was promising, next step to schedule a call with the engineering team, cost optimisation or commitment should be done. Spend around 45-50 k /month. Good lead, well done, @Neta Arbel", with a thumbs-up reaction.
Exhibit 04A client scoring the lead by its cloud spend: "the call was promising, next step to schedule a call with the engineering team, cost optimisation or commitment should be done. Spend around 45-50 k /month. Good lead, well done, @Neta Arbel"

What the prospects actually wrote back

Cold replies from decision-makers at companies our clients wanted to reach. Nothing here was warmed by a referral or an inbound form.

Email reply dated Monday, Sep 22, 2025 from an address at altium.com with the name blacked out: "Indeed, this is currently on my desk, and I would like to get more details. Could you also provide information on the costs involved? It would be best to have this in advance via email. Thank you!"
Exhibit 05From an @altium.com address: "Indeed, this is currently on my desk, and I would like to get more details. Could you also provide information on the costs involved?"

Scroll the image sideways, or tap to open it full size.

Email reply dated Friday, Aug 8, 2025 from an address at microsoft.com with the name blacked out: the sender is based in PST, in Ireland, Dublin, says the best optimal time is between 7-8am PST, proposes Wed Aug 20th or Tue Aug 26th, and asks for any offline materials to preview ahead of time.
Exhibit 06From a @microsoft.com address, offering times: "I'm based in PST … in Ireland, Dublin, so the best optimal time is between 7-8am PST. Can we do Wed Aug 20th or Tue Aug 26th in that time-frame? Meanwhile, if you have any offline materials to preview ahead of time, let us know!"

And what that looks like on the calendar

Calendly bookings list spanning Mon 23 Jun to Thu 2 Jul, showing six 30-minute calls each titled "Intro", three of them marked Rescheduled, with every invitee name blacked out.
Exhibit 07Six intro calls booked through Calendly, 23 June to 2 July. Three were rescheduled, not cancelled. Names redacted.

How the meetings get made

No proprietary framework. Four things done consistently.

01

Test first, scale second

Month one is for testing: industries, company sizes, titles, subject lines, angles, CTAs. Nothing scales until it has already worked at small volume. With the GCP and AWS partner, month one found that founders and CEOs replied best. Month two pointed everything there, and produced 20 booked appointments in 30 days.

02

Qualify before booking, not after

A meeting only lands on your calendar once budget, timeline and authority check out. The GCP and AWS partner set the bar at $3k/month in cloud spend. Prospects under it didn't get booked. That's why their sales team marked all but one of 20 appointments as qualified, and why 90%+ showed up.

03

Two channels, two lists, warmed infrastructure

Email and LinkedIn run in parallel on separate lists, so the data stays clean and nobody gets hit twice. Glassix ran on 30 warmed inboxes and 3 humanized LinkedIn accounts with 500+ connections each. The infrastructure gets warmed before the first send, not during.

04

Framing to the reader's KPI

The message is built around what the reader is measured on, not what the product does. For Glassix, that meant a partnership opening to biz-dev teams instead of a feature pitch. On LinkedIn, 35% of them replied. Whatever your equivalent is, we find it in the testing month.

See if the numbers hold for your market

Thirty minutes. We go through your ICP, what you've already tried, and what a realistic monthly booking number looks like for your market. If the results on this page might be relevant to what you sell, I'll show you how they'd map. If they wouldn't, I'll tell you that on the call.

Book a 30-minute call

Or reply directly: neta@growthgrid.org