The first 5 qualified meetings within 3 weeks for Scalebound

Scalebound runs Google Ads for real estate pros and B2B software companies. It's a young company with deep Google Ads skills, and it was taking a new offer to a new market.

We were brought in to do one thing: book sales calls. We measured ourselves on meetings booked.

This case study covers where Scalebound was before cold email, what we built, the emails that worked, and the replies that turned into meetings.

1. Challenges

Cold calling couldn't reach enough people

In January 2026 the founder was cold calling. About 300 dials a day turned into about 40 pickups and 6 leads. The low pickup rate was the main block. It's hard to learn what a market wants when most calls never connect.

A new offer with no proof of fit

Scalebound had the skill to run Google Ads well. What it didn't have yet was a message that made buyers say yes. Nobody knew which audience cared most, which promise landed, or how to price it so it felt safe.

Too little volume to learn fast

Finding message-market fit takes volume. The only way to know what works is to send a lot of outreach to the whole market, tweak, and test until the replies get good. Doing that by phone, or on paid channels, costs a lot of money and time.

Two very different buyers

The offer could fit two groups: real estate agents and brokers who want listings and buyers, and B2B software companies who want demos. Each group needs its own words.

2. What they tried

Cold calling

The founder did the outreach himself by phone. It worked a little, with 6 leads from a day of dialing, but it didn't scale and it ate his time.

Selling to everyone at once

Before cold email there was no clean split between markets, so there was no way to see which group responded best.

3. Our solution

A clear offer: pay only for meetings that show up

We built the cold email around one simple promise. Scalebound runs your Google Ads, and you only pay when a qualified meeting actually shows up. Nothing upfront.

That offer removes the biggest fear buyers have about ad agencies: paying every month and getting nothing. Later, the deal model moved to a 20% revenue share, which replaced per-lead and per-meeting fees.

Two audiences, tested side by side

We ran real estate and B2B software as separate campaigns from day one.

• Real estate: agents, brokers and brokerage decision-makers.
• B2B software: founders, CEOs and marketing heads at software companies with about 11 to 100 staff, mostly in the US, then the UK, Canada and Northern Europe.

Lists came from Prospeo. We grouped small niches into wider ones, like IT services, because their sales funnels were the same.

Private sending infrastructure

All sending ran through EmailBison from Google inboxes on separate domains. Scalebound's main domain was never used for cold email.

• 102 Google inboxes across 34 domains for most of the project, with warmup on.
• 15 to 20 emails a day per inbox, so no single inbox did too much.
• A cap of 1,000 emails a day per campaign.
• 9 more inboxes added in late October as volume grew.

A daily script loop

We kept changing the angle every day until something stuck. Each campaign ran several short emails as A/B variants. When one pulled interested replies, we kept it and wrote new challengers against it.

Over the weeks a simple Google Ads service turned into an offer people found hard to refuse.

Fast reply handling

We gave the founder a shared inbox to answer replies. Positive replies also went straight to him as email alerts. Replies were answered fast, with two time options and a calendar link in the same message.

4. Results

Bottom line

• First 5 qualified meetings within 3 weeks of the rewritten campaigns going live (Jun 20 to Jul 8, 2026).
• A new client in the October phase: On Oct 23, 2026, Scalebound onboarded a software company selling to dental, dermatology and vision groups, after a cold email reply on Oct 18.
• 9 verified meetings across both phases of the project.
• 39,861 emails sent across 13 campaigns.
• 159 human replies and 89 interested replies.

Source and limits

All numbers come from the EmailBison API unless we say otherwise.

• "Human replies" leaves out auto-replies and out-of-office messages.
• "Interested" is the reply label in EmailBison. Not every interested reply became a meeting.
• Sends are emails, not unique people. Two October campaigns re-mailed earlier lists.
• Phase 2 numbers were read on Nov 1, 2026. One campaign was still sending then, so its numbers may keep moving.
• Google Ads sending paused from Jul 7 to Oct 1 while the same workspace ran a different offer.

Two phases

The project ran in two parts. Phase 1 tested both audiences and found the winning offer. Then the workspace switched to a different offer for the summer. Phase 2 came back in October with B2B software only, using what phase 1 had taught us.

Phase 1 also bounced 300 emails (1.97%). Phase 2 bounced 734 (2.98%).

Campaign leaderboard

The best campaign was real estate agents: 17 interested from 1,716 emails. The five-variant campaign also reached 17 interested, but from 15,854 emails. It is shown at its Nov 1, 2026 read.

Winner 1: Exclusive listing appointments

Evidence: 11 interested from 414 sends (2.66%). Its best single run was 9 interested from 206 sends, the best single email of the project.

Subject

{Quick question|Question|Listing appointments|Real estate}

Body

Hey {first_name}, would you want exclusive listing appointments from Google Ads I run and manage for you, paying only per appointment that shows?

Why it worked: one line, one clear outcome a broker wants, and no risk.

Winner 2: Listings and buyer leads

Evidence: 8 interested from 425 sends (1.88%).

Hey {first_name}, I'd set up and run Google Ads for you to pull in more listings and buyer leads. You pay per booked appointment that shows up, nothing upfront.

Can I send a 90-second video on how it'd run?

Winner 3: Qualified SaaS meetings

Evidence: 4 interested from 257 sends (1.56%), the best software email in phase 1.

Hey {first_name}, I'll run Google Ads for your company and only get paid when a qualified meeting actually shows.

Want a short video?

Winner 4: The split test

Evidence: 3 interested from 181 sends (1.66%) to brokerages already running ads.

Hey {first_name}, saw your brokerage's Google Ads in the transparency center.

If you're open, we'd run a split test against your current Google Ads using our AI agents.

We've been training them for a while and they do a solid job pulling buyer and seller leads.

Can I send you a quick video showing how we'd run this test without affecting your current campaigns?

This one opened with something we saw about them. It was a good way in for buyers who already spend on ads.

Winner 5: Qualified B2B demos (phase 2)

In October we went back to B2B software with five variants in one campaign. The plainest one won.

What prospects said

The first replies were short and direct. Most asked for the video or a call. Some asked about cost or how "qualified" would be judged.

How replies were handled

Every answer followed the same simple pattern:

1. Answer the question in one or two lines.
2. Offer two specific times.
3. Add a calendar link in case neither works.

Price questions got an honest answer: cost depends on the market, and the deal is built to keep the buyer's margins healthy. Then straight to a call.

Real response pair 1: "Cost?"

Prospect (broker, real estate):

Cost?

Our reply:

The cost per qualified appointment varies across different markets. I'd be lying if I give exact numbers. What I can say is - it will make sense for you and your business to keep healthy margins. Let me show you how it would look like for your company with a quick call. What works better for you - tomorrow at 10AM or Monday at 12PM?

Prospect:

Tomorrow @ 10.

Real response pair 2: "We never found a strategy that worked"

Prospect (B2B company):

We aren't using Google Ads much. Just brand ads. We never found a strategy that worked for us. So we stopped using the agency and brought the mgmt in house. Happy to talk.

Our reply:

I told [the founder] about this. He thinks he can help you find a Google Ads path that actually works, even if brand is all you run today. Monday at 10:00am PT or Tuesday at 10:00am PT. Which works better?

Prospect:

Tuesday at 10PT works. Thanks

Real response pair 3: "No upfront cost at all?"

Prospect (VP Customer Growth, B2B software):

To confirm - no upfront cost at all - we pay on meeting that shows up?

Our reply:

There are costs associated with Google Ads only. You don't spend that with us. Our fee - performance basis - you pay per qualified appointment. I'd be able to walk you through this on a quick call, does tomorrow or Thursday at 10AM or 2PM work for you?

Real response pair 4: "Showing up doesn't mean it's worthwhile"

Prospect (owner and managing broker, real estate):

I'm interested in anything that makes money, but I get calls like this all the time and what ends up happening is an argument about an appointment because just cuz they show up doesn't mean it's worthwhile.

Our reply:

Totally get that part. We identify what counts as "qualified" together on the call so you only pay per each qualified appointment. I'd be happy to walk you through it. Would Friday or Monday at 10am or 12pm work?

Prospect:

I could talk friday.

The calendar link didn't work for him, so we offered four set times by hand.

Real response pair 5: "Meetings don't mean qualified"

Prospect (B2B software):

My experience with this is that the leads are not very qualified as the google ads can only do so much. Do you have any success rates on this? Meetings dont constitute qualified so I am curious how well this is working for people?

Our reply:

Totally fair. Most Google Ads leads are junk because the agency stops at the click. We add a fit check before anyone can book. You set the criteria with us up front (company size, role, whatever matters to you), so only people who pass get on your calendar. You only pay when one of them actually shows.

Real response pair 6: A forwarded email

Prospect (Director of Marketing and Partnerships, B2B software):

[A colleague] shared your email with me and I'm pretty interested. What are the next steps?

Our reply:

[The founder] will be able to walk you through how the free campaign would run. Does Thursday or Friday at 11AM or 2PM (ET) work for a chat?

Prospect:

Great. 11 AM ET Friday works. Please send over the invite and let me know if there is anything you need me to prepare. I'm looking forward to connecting.

The email reached one person, who forwarded it to the right person. That happened more than once: a good cold email gets passed around inside the company.

Real response pair 7: "Loom it up."

Some of the best replies were three words long. "Loom it up." "Yes please." "Sure, send it over." Each one got a short video and two times for a call. Asking "can I send a video?" instead of "can we meet?" made it easy to say yes first.

Timeline

Deliverability

Across both phases, 1,034 emails bounced (2.59%). Phase 2 bounced more (2.98%) than phase 1 (1.97%). Two of the October campaigns re-mailed older lists. Fresh, verified lists are the main way to keep bounces low.

What we learned

Volume finds the message

The founder's calls taught him a lot, but 6 leads a day from 300 dials wasn't enough data. Thousands of emails a week let us test angles side by side and keep only what worked.

Remove the risk and say it in one line

The best emails were one or two sentences. They named the outcome (listing appointments, qualified demos) and took away the risk (pay only when the meeting shows). Longer emails with more proof did worse.

Real estate answered first

Real estate agents and brokers replied more than software companies in phase 1. Software buyers took more convincing, but the plainest software email still won in October.

Speed matters after the yes

The best threads went from first reply to booked call in minutes. Two set times plus a calendar link made it easy to say yes.

Questions about price are buying signals

"Cost?" and "what are the next steps?" were some of our best replies. Answering honestly and moving to a call worked better than sending prices by email.