How AfterSell Built an Automated Growth Engine That Generated Enterprise Demos at $102 Each Without an SDR Team

Impact TL;DR

• $102 cost per enterprise demo booking through coordinated LinkedIn Ads and drip retargeting
• >60% open rate on cold email outbound, with roughly 1% demo bookings from every 100 emails opened
• 76% lead-to-demo conversion from LinkedIn Ad clickers via drip email retargeting
• 3,000+ enriched prospects routed weekly, fully automated, anti-ICP accounts excluded before campaigns ran
• No SDR rep needed: AfterSell founders took every qualified demo call directly
• 3 months from start to live engine, generating enterprise demos at scale

The problem

They wanted to move upmarket without hiring SDRs

AfterSell was scaling fast on the Shopify SMB side. 5,000+ merchants on the platform, growing organically. But the conversation about moving upmarket into enterprise Shopify Plus deals always landed in the same place: "We'd need to hire SDRs to chase those accounts."

That's expensive. Each SDR costs $80K+ a year, plus tooling, plus management overhead. It's slow. Most SDR hires take 3-6 months to ramp before producing real pipeline. And it's risky, especially at an early-stage startup that doesn't yet have a sales playbook to onboard SDRs into.

The team needed a different way to chase enterprise: something that would generate qualified demos predictably, without doubling headcount, without taking quarters to set up.

The Solution:

Growth Today built an automated growth engine that did the SDR work without the SDRs.

The principles were simple:

• Pre-qualify the TAM down to high-intent accounts, so outreach only goes to companies AfterSell could actually win
• Find the trigger moments when prospects' problems are hurting, not just present, so emails land at the right time
• Combine cold email with LinkedIn Ads, not as separate channels but as a coordinated motion against the same audience
• Retarget LinkedIn Ad clickers who didn't book from the ad with drip emails that pick up the same hook
• Hand qualified calls directly to the founders, no SDR layer in between

To make all of this work, we built:

• Automated TAM setup with multi-source data enrichment, refreshing 3,000+ prospects per week
• Intent and trigger-based cold email, personalized at the prospect level
• LinkedIn Ads built on the same TAM, with industry and company-level personalization
• Drip email retargeting layered on LinkedIn Ad audiences for cross-channel coverage
• Direct demo booking straight to the founders' calendars

The whole engine ran for 3 months and generated enterprise demos at $102 each, no sales rep involved.

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Use case 1

TAM setup and pre-qualification flow

Without an SDR team to do prospecting and qualification manually, the entire front of the funnel had to be automated. We built a TAM enrichment flow that pre-qualified accounts before any outreach went out: by job title, by industry, by store ranking signals.

The result: 3,000+ enriched prospects ready to outreach every week, with anti-ICP accounts already filtered out before they hit a campaign.

The point of this wasn't volume. Cold outreach to everybody in a TAM is a rookie mistake. Why? Because problems alone don't motivate buyers. Problems only matter when they're intense or frequent enough to make someone actually want to change.

So we didn't just find people with problems AfterSell could solve. We found the people whose problems were hurting right now, and emailed them then.

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Use case 2

Intent and trigger-based cold email

Once the TAM was pre-qualified, the next question was: when do we email each prospect, and what do we say?

The answer was triggers. We mapped out which signals in the daily life of a Shopify merchant indicated their post-purchase experience was hurting: new product launches, traffic spikes, app stack changes, ad campaigns running, missing functionality on their checkout flow. Then we built automated detection for those triggers and timed outreach against them.

Each email was personalized at the prospect level: the person's role, the company's situation, the specific trigger that surfaced. Built in a way that kept the email feeling authentic, not template-spray.

The numbers held up:

• >60% open rate on cold email outbound (vs typical 20-30% industry benchmarks)
• ~1% demo booking rate from every 100 emails opened
• No SDR involvement between send and demo call. The founders took the calls.

We tried exploring cold email many times in the past. We've even hired some of the so-called "top agencies" in the world to help us figure this out. But none of them brought the same depth and understanding as Brigitta does. Her entire strategy and approach were different and what's even better is that most of this is automated. She cracked the code on how to personalize emails and it's built for today. Everyone else running cold emails is using old, overused techniques and that's why it doesn't work. Now, we're running the most personalized campaigns ever. At scale. Brigi's team has allowed us to acquire large customers at scale without having to spend a fortune. This has been a total game changer for our business and we've entered our highest growth period ever.

AfterSell founding team

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Use case 3

LinkedIn Ads with TAM-based targeting

Cold email alone doesn't reach everyone. Inboxes get crowded. So we built a parallel motion on LinkedIn, hitting the same audience through a different channel.

We took the enriched TAM from the email engine and ran it through LinkedIn's ad targeting layer. Data providers gave us the company-level audience. LinkedIn's own algorithm helped enrich it further, matching prospects, job titles, and companies, and excluding anti-ICP accounts that didn't fit.

Personalization on LinkedIn worked at the industry and company level rather than the prospect level (since that's not how LinkedIn Ads target). The creative spoke to the same trigger moments we knew the audience was hitting.

Outcomes:

• $77 cost per lead on LinkedIn Ads
• $102 cost per demo booking when leads are converted directly from the ad

Same pre-qualification flow as the email engine. Different channel, coordinated narrative.

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Use case 4

Drip email retargeting on LinkedIn Ad clickers

Most leads who click a LinkedIn Ad don't book a demo on the first interaction. They click, they look, they leave. Without retargeting, those leads disappear into the void.

We built a drip email retargeting flow specifically for LinkedIn Ad clickers who didn't convert from the ad itself. Each drip picked up the same hook from the ad they engaged with: same message, same trigger, just delivered through email instead of LinkedIn.

Outcome:

• 76% lead-to-demo conversion rate on LinkedIn clickers who didn't book from the ad

That's the number that turned LinkedIn Ads from a cost center into a compounding pipeline source. The ad got attention. The drip email closed the loop.

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Why this matters

This case study isn't really about cold email, and it isn't really about LinkedIn Ads. It's about what happens when you build the layers around them so they actually work together.

• The TAM enrichment made cold email and LinkedIn Ads target the same audience, with the same personalization logic
• The trigger detection made outbound emails land at the right moment, not just at any moment
• The retargeting drip caught the LinkedIn clickers who weren't ready to book, and brought them back through email
• The founders, being the closer, kept every conversation high-trust, with no SDR-shaped middle layer breaking the signal

That's why $102 per enterprise demo booking was achievable. Not because cold email is cheap. Because the whole engine was built to make every channel work harder by feeding off the others.

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Results & Impact

Sales Impact

• Enterprise demo bookings at $102 each through coordinated LinkedIn Ads and drip retargeting
• >60% open rate on cold email outbound, well above the typical 20-30% industry range
• 76% conversion rate from LinkedIn Ad clicker to booked demo via drip retargeting
• Founders took every qualified demo call directly, no SDR layer in the middle

Marketing Impact

• 3,000+ enriched prospects routed weekly without manual research overhead
• Cross-channel personalization: prospect-level on cold email, industry and company-level on LinkedIn Ads
• Pre-qualification gates filtering anti-ICP accounts before any spend went out the door

Leadership Impact

• Predictable enterprise pipeline in 3 months, no SDR team hired, no months-long sales ramp
• With the tech stack and ops infrastructure, the team could keep running after the engagement ended
• The highest growth period of the business, per the founders' own words

The engine didn't replace sales. It replaced the part of sales that doesn't need a human. The founders kept doing what they were great at: closing deals with qualified buyers. Everything in front of that step ran on its own.

From building the tech stack and ops infrastructure to copywriting cold email and LinkedIn Ads, this engagement built an automated growth engine that generated enterprise deals at $102 each, with no sales rep involved.

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