How Posted went from inconsistent ad spend to $1M ARR in 6 months

A PLG SaaS for mobile app developers with early traction and no reliable way to go after the brands they actually wanted. We built the outbound engine. Here is what happened.

Company: Posted Industry: PLG SaaS / Mobile App Marketing Location: United States Campaign type: High-volume cold email PLG funnel, full TAM mapping Campaign duration: 6 months to $1M ARR

Results at a glance

Where Posted started

Posted is a product-led SaaS platform for mobile app developers and brands. They came to us at an early stage with a product already generating traction through organic and product-led growth. The challenge was not the product. It was finding a reliable, scalable way to reach larger brands rather than waiting for them to discover Posted themselves.

Before The GTM Company:

• Running Meta Ads to drive lead flow with inconsistent monthly results

• No control over the quality or size of companies coming through the funnel

• No proactive way to target specific, high-value mobile app brands at scale

• Larger brand deals being missed entirely

• Pipeline unpredictable with no outbound motion to fall back on

Meta Ads works well for consumer and broad B2B audiences. It is a poor tool for reaching specific, high-value mobile app brands at scale. After three months of inconsistent results, it was clear they needed a different approach — one built around precision targeting, not broad ad spend.

Our approach

The insight that shaped everything was structural. Posted already had a PLG funnel that converted. What they needed was more of the right people entering it — specifically the larger brands that were never going to come through a Meta Ad.

Cold email was not going to replace Meta Ads. It was going to work alongside it. Outbound to drive trial sign-ups from targeted mobile app brands. Meta retargeting those who engaged. Two channels compounding each other rather than competing.

01 — Feed the PLG funnel, not the sales team Every cold email was designed to drive trial sign-ups, not book calls. We worked with what was already converting rather than building a new motion from scratch.

02 — Map the full TAM before sending a single email Before volume went out we mapped every mobile app category, prioritised the highest-value brand segments, and built clean validated lists. Precision first, then scale.

03 — Let outbound and paid compound each other Cold email identified the accounts. Meta Ads retargeted the ones who engaged but did not convert. The two channels made each other more efficient with every cycle.

Two systems. One engine.

System A — High volume cold email (PLG funnel)

Built a high-volume cold email system designed to feed Posted's existing PLG funnel. Messaging led with value and drove trial sign-ups rather than sales calls. Segmented outreach by app category, company size, and engagement signals. Rapid A/B testing on subject lines and CTAs to find what drove sign-ups fastest.

System B — TAM mapping for mobile apps

Mapped Posted's full total addressable market across mobile app categories. Identified and prioritised the highest-value brand segments. Built clean, validated prospect lists for systematic outreach. Created a targeting infrastructure that the team could run and expand on an ongoing basis.

The GTM Company flywheel

Posted's flywheel began with real data from their existing PLG users. We knew which mobile app categories were converting, what those founders cared about, and how they discovered tools.

That intelligence shaped every cold email we sent. The replies told us which messages resonated. Those conversations informed the next batch. By week two the system was producing. By month six, cold email and Meta Ads were feeding each other in a compounding loop that took Posted from early-stage to $1M ARR.

01 — Real world intelligence Case studies, call recordings, and customer conversations

02 — Offers and messages Positioning and copy built from what real buyers say

03 — Outbound data Reply rates, open signals, and booking data show what lands

04 — New sales conversations Warmer leads, better meetings, faster closes

Every new sales conversation feeds back into step 01. The flywheel compounds with every cycle.

The turning point

Week two.

The cold email system started producing sign-ups and replies within the first two weeks of going live. From that point the flywheel began turning — outbound data fed back into messaging, sign-ups fed back into product usage data, and that intelligence shaped the next wave of campaigns.

The results

Posted scaled to $1M ARR within 6 months of starting the engagement.

Cold email and Meta Ads went from competing channels to a complementary system — outbound driving trial sign-ups, Meta retargeting those who engaged, and the two channels compounding each other's results.

They now have a GTM motion that is predictable, scalable, and no longer dependent on ad spend alone to generate pipeline.

What made this work

01 — We worked with the PLG motion, not against it Posted already had a conversion engine. The mistake most teams make is adding outbound on top and treating it as a separate funnel. We designed cold email to feed the existing PLG flow — same destination, new source of traffic.

02 — TAM mapping meant zero wasted volume Sending 10,000 emails to the wrong mobile app companies produces noise, not pipeline. Building the target list properly before going live meant every campaign was reaching brands that actually matched what Posted sold.

03 — Two channels compounding is a different business to two channels running in parallel Meta Ads retargeting the people who came through cold email is a fundamentally different motion to running both channels independently. The overlap is where the conversion rate climbs.

04 — Week two wins changed the internal narrative Early signals matter enormously in an early-stage company. When the system produced replies and sign-ups in the first two weeks, it shifted how the team thought about outbound — from a cost centre to a growth engine.