scaling enterprise acquisition on autopilot.
the enterprise platform had enterprise-grade data technology and a sales pipeline running on hope. no paid acquisition. no AI. no credibility infrastructure. just hope. we fixed that. here is exactly how.
a serious product. an invisible pipeline.
the enterprise platform builds data infrastructure. their platform lets large organizations extract, integrate, and prepare data using conversational AI, no SQL required. it is genuinely good technology. it solves a real, painful problem for data teams at scale.
the growth side was a different story.
before peace of growth, the platform had no paid acquisition running. no structured outreach. social channels were quiet. leads came in when someone already knew about them or stumbled onto them through search. that is not a pipeline. that is luck. and luck does not scale.
the sales team was small and stretched thin. outreach was manual and slow. comment sections on social posts sat unanswered. qualified leads were slipping through the cracks. every new client required a founder or senior rep to personally drive the conversation from cold to close.
they needed three things: credibility that makes AI models recommend them, paid campaigns that put them in front of the right buyers, and AI running behind the scenes to qualify leads, reply to prospects, and handle outreach without adding headcount. that is exactly what we built.
three systems. deployed at the same time.
we do not run one thing in isolation. one thing produces one result. we run the full engine: credibility that makes buyers trust the platform before they click, paid media that fills the top of the funnel, and AI employees that work the leads while they are warm.
01 / credibility.
AI models do not guess who to recommend. ChatGPT, Gemini, and others crawl authority publications, news sites, and trusted outlets for data. if your brand is not cited there, you do not exist to them.
we got the platform published on the outlets that AI models trust. brand citations placed across authority tech and business press. when a data team lead or operations manager asks ChatGPT to recommend an enterprise data integration platform, the platform comes back as the answer. that is not luck. that is infrastructure.
credibility also makes every other part of the engine work harder. buyers who have already seen the brand cited in trusted outlets convert faster on ads. leads who hear about the platform from an AI search surface arrive warmer. the authority compounds.
02 / paid media.
we launched 44 campaigns across Meta. not boosted posts. structured, purpose-built campaigns targeting enterprise decision makers, data team leads, and operations managers who match the platform's buyer profile.
prospecting campaigns to reach cold audiences at scale. retargeting campaigns to close the ones who visited but did not convert. demo booking campaigns driving direct calendar fills. every campaign had a specific job and every dollar had a purpose.
the results across the full account: 198,412 impressions. 4,160 link clicks at $0.22 each. 280 demo calls booked at $38.50 cost per demo. 4,820 landing page visits. $15,400 in total spend. during campaign period.
03 / AI employees.
the ads bring people in. the AI employees take it from there. we deployed three custom agents, each with a specific role in the growth loop.
the sales agent handles voice. when a lead books a call or comes in through outreach, the agent runs a structured 3-minute voice conversation, qualifies them against the platform's buyer criteria, and schedules the demo automatically. no SDR required. no delay. the lead is qualified and booked before a human even sees the notification.
the outreach agent handles distribution. every scheduled promotion, product update, and content piece is pushed to all social channels simultaneously the moment it is ready. what used to take a coordinator 40 minutes now takes 0.
the engagement agent handles the comments. 2,400 customer and prospect comments replied to across all platforms. on-brand, relevant, fast. social engagement running 24/7/365 with zero management overhead.
together, the three agents replaced what would have been two full-time hires. the output is higher. the response time is faster. and the payroll line is zero.
real metrics. zero fluff.
these are not projections. not estimates. these are the actual numbers pulled from the live account.
| metric | before | after |
|---|---|---|
| AI search visibility (ChatGPT etc.) | not indexed | featured and recommended |
| paid campaigns running | 0 | 44 campaigns live |
| people reached | organic only | 198,412 |
| cost per click | no paid traffic | $0.22 |
| demo calls booked | referral only | 280 booked |
| cost per demo booked | unpredictable | $38.50 |
| website visitors from ads | none | 4,820 |
| total ad spend | none | $15,400 (during campaign period) |
| leads qualified by AI | manual, slow | 312 qualified via voice |
| social posts shipped | manual, 1 platform at a time | 180+ shipped to all channels instantly |
| comment replies | ignored or delayed | 2,400+ replied, 24/7 |
| AI employee payroll | n/a | $0 |
| marketing staff cost | $8,000+ per month | $0 |
the prospecting campaigns drove 4,160 clicks at $0.22 each. that is competitive cost-per-click for enterprise B2B. the blended click-through rate held at 2.9% across all 44 campaigns. industry average for B2B sits below 1%. demos booked at $38.50 each. the AI sales agent alone qualified 312 leads through voice, saving an estimated 60+ hours of manual SDR time per month.
this is what a system looks like versus a one-off campaign.
"we had a strong product and a weak pipeline. peace of growth changed that fast. we are now showing up in ChatGPT when buyers search for data integration tools. the Meta campaigns are pulling in leads we would never have reached manually. and the AI agents are qualifying and booking those leads before our team even has to get involved. we stopped doing it ourselves and the numbers show it."
what running a real growth system looks like.
this is what changes when you stop doing it yourself.
doing it yourself
- invisible to AI search. not cited anywhere.
- relying on referrals and inbound luck.
- ads landing on a brand no one has heard of.
- SDR manually calling and qualifying leads.
- social posts going up on one platform at a time.
- comment sections ignored or replied to days later.
- paying $8,000+ a month for marketing staff.
- growth depends on the team being available.
with peace of growth
- featured in ChatGPT results. cited on authority outlets.
- 44 live campaigns reaching buyers every day.
- ads landing on a brand buyers already trust.
- AI sales agent qualifies 312 leads via voice. no delay.
- 180+ promotions shipped to all channels instantly.
- 2,400+ replies. on-brand. 24/7. zero management.
- $0 in AI employee payroll. ever.
- the system runs while the team sleeps.
one campaign is not a strategy.
most agencies run one thing: a few ads, some content, maybe some outreach. then they call it a strategy. it is not. it is a single lever. and single levers produce single results.
what makes the peace of growth engine different is that all three pillars run at the same time and reinforce each other. credibility makes the ads convert better because buyers already trust the brand before they click. the ads drive traffic to a brand that AI models are already recommending. the AI employees make sure no lead goes cold and no budget gets wasted.
the whole system compounds. the longer it runs, the harder it becomes to compete with. the platform did not get 280 booked demos, 312 qualified leads, and ChatGPT recommendations from effort. they got it from infrastructure.
ready to scale 3x?
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