CASE STUDY

How Flare went from 10 to 102 meetings a month and closed $1.8M+ in revenue

How Endorsed AI helped Flare scale from 10 to 102 booked meetings per month and unlock $1.8M+ in new revenue.

May 11, 20269:00 AM
Flare

At a glance

Flare is an AI-powered fintech providing advanced bookkeeping and resourcing services for startups and scaleups. Founded by a former KPMG Director and YC founders, they serve 250+ high-growth companies globally.

When Flare came to us, outbound wasn’t working. They were booking around 10 meetings a month with no consistency. Feast and famine cycles made pipeline impossible to forecast. Their ICP wasn’t defined, their TAM wasn’t mapped, and their infrastructure couldn’t scale.

We built a full AI revenue system, identified a high-growth opportunity in the US, and launched signal-based campaigns. 12 months later, Flare was booking 102 meetings a month and had closed over $1.8M in revenue from our pipeline.

Sustained monthly output102 meetings/month
Revenue closed from our pipeline$1.8M+ closed revenue
From 10/month to 100+10x increase in booked calls
Outreach capacity at scale10,000+ emails/day

The challenge

Flare’s outbound was inconsistent. Around 10 meetings a month, but never predictable. Good months followed by dead months, making it impossible to plan revenue growth.

The targeting was unclear. Their ICP hadn’t been properly defined, so outreach was reaching the wrong people as often as the right ones. Their total addressable market hadn’t been mapped, so there was no visibility into where the real opportunities sat.

The infrastructure wasn’t built for scale either. Emails were landing in spam rather than inboxes, and there was no system in place to run outbound at the volume needed to move the needle.

The solution

ICP Definition and TAM Mapping

We defined Flare’s ideal customer profile and through that process identified a major growth opportunity in the US market they hadn’t fully explored. We mapped their full TAM, segmented by vertical, company size, and buying signals, giving every campaign a clear, focused direction.

Infrastructure Built for Scale

We built enterprise-grade email infrastructure from the ground up, fully warmed and authenticated to maximise deliverability. This gave Flare the capacity to run outbound at serious volume without landing in spam.

Signal-Based Campaigns

We built campaigns triggered by real buying signals: funding rounds, key hires, tech stack changes, and growth indicators. Flare’s outreach landed in front of the right people at the right time.

A Paid Ads Approach to Outbound

We treat outbound the way performance marketers treat paid ads. We run multiple campaigns simultaneously, A/B test messaging, targeting, and sequencing, then double down on the ICPs and email variants that convert. Underperforming campaigns get cut. Winning campaigns get scaled. This continuous iteration is what drives compounding results over time.

Scaling What Works

We started at 2,000+ emails per day, found what was landing, and scaled those winning campaigns to 4,000+. Call volume doubled. We kept iterating, kept scaling, and kept pushing until Flare was consistently booking 100+ qualified sales meetings every month. Our account management team, acting as dedicated GTM strategists, drove every decision, making the pivots, running the tests, and pushing performance week after week.

The impact

Flare went from 10 meetings a month to 102. Not as a one-off spike, but as a sustained, repeatable output month after month. The feast-and-famine cycles that had plagued their pipeline were gone.

Over $1.8M in revenue was closed directly from the pipeline we generated. Outbound went from an underperforming side channel to a core revenue driver.

The US market, identified during our ICP and TAM work, became a major growth engine. Lead generation grew 14x over the course of the engagement, with infrastructure capable of sustaining 10,000+ emails per day without compromising deliverability.

“We went from 10 meetings a month to over 100. Endorsed AI didn’t just scale our outbound, they built a system we’ll use for years.”

We knew we needed outbound to work, but we couldn’t get it to a point where it was consistent. We couldn’t build a revenue plan around it.
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CASE STUDY

How Flare went from 10 to 102 meetings a month and closed $1.8M+ in revenue

How Endorsed AI helped Flare scale from 10 to 102 booked meetings per month and unlock $1.8M+ in new revenue.

May 11, 2026

102 meetings/monthSustained monthly output
$1.8M+ closed revenueRevenue closed from our pipeline
10x increase in booked callsFrom 10/month to 100+
10,000+ emails/dayOutreach capacity at scale

We knew we needed outbound to work, but we couldn’t get it to a point where it was consistent. We couldn’t build a revenue plan around it.

Jack RyderCEO

At a glance

Flare is an AI-powered fintech providing advanced bookkeeping and resourcing services for startups and scaleups. Founded by a former KPMG Director and YC founders, they serve 250+ high-growth companies globally.

When Flare came to us, outbound wasn’t working. They were booking around 10 meetings a month with no consistency. Feast and famine cycles made pipeline impossible to forecast. Their ICP wasn’t defined, their TAM wasn’t mapped, and their infrastructure couldn’t scale.

We built a full AI revenue system, identified a high-growth opportunity in the US, and launched signal-based campaigns. 12 months later, Flare was booking 102 meetings a month and had closed over $1.8M in revenue from our pipeline.

The challenge

Flare’s outbound was inconsistent. Around 10 meetings a month, but never predictable. Good months followed by dead months, making it impossible to plan revenue growth.

The targeting was unclear. Their ICP hadn’t been properly defined, so outreach was reaching the wrong people as often as the right ones. Their total addressable market hadn’t been mapped, so there was no visibility into where the real opportunities sat.

The infrastructure wasn’t built for scale either. Emails were landing in spam rather than inboxes, and there was no system in place to run outbound at the volume needed to move the needle.

The solution

ICP Definition and TAM Mapping

We defined Flare’s ideal customer profile and through that process identified a major growth opportunity in the US market they hadn’t fully explored. We mapped their full TAM, segmented by vertical, company size, and buying signals, giving every campaign a clear, focused direction.

Infrastructure Built for Scale

We built enterprise-grade email infrastructure from the ground up, fully warmed and authenticated to maximise deliverability. This gave Flare the capacity to run outbound at serious volume without landing in spam.

Signal-Based Campaigns

We built campaigns triggered by real buying signals: funding rounds, key hires, tech stack changes, and growth indicators. Flare’s outreach landed in front of the right people at the right time.

A Paid Ads Approach to Outbound

We treat outbound the way performance marketers treat paid ads. We run multiple campaigns simultaneously, A/B test messaging, targeting, and sequencing, then double down on the ICPs and email variants that convert. Underperforming campaigns get cut. Winning campaigns get scaled. This continuous iteration is what drives compounding results over time.

Scaling What Works

We started at 2,000+ emails per day, found what was landing, and scaled those winning campaigns to 4,000+. Call volume doubled. We kept iterating, kept scaling, and kept pushing until Flare was consistently booking 100+ qualified sales meetings every month. Our account management team, acting as dedicated GTM strategists, drove every decision, making the pivots, running the tests, and pushing performance week after week.

The impact

Flare went from 10 meetings a month to 102. Not as a one-off spike, but as a sustained, repeatable output month after month. The feast-and-famine cycles that had plagued their pipeline were gone.

Over $1.8M in revenue was closed directly from the pipeline we generated. Outbound went from an underperforming side channel to a core revenue driver.

The US market, identified during our ICP and TAM work, became a major growth engine. Lead generation grew 14x over the course of the engagement, with infrastructure capable of sustaining 10,000+ emails per day without compromising deliverability.

“We went from 10 meetings a month to over 100. Endorsed AI didn’t just scale our outbound, they built a system we’ll use for years.”

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