Case Study: Performance Marketing for Honest AI

Honest AI is a forward-deployed AI engineering company that helps enterprises ship production-ready AI agents in weeks, not quarters. With 50+ production agents deployed across healthcare, government, and regulated industries, they specialize in turning ambitious AI roadmaps into real outcomes using Google, Microsoft, and OpenAI technology stacks.

Founded with a business-first philosophy, Honest AI doesn’t sell vaporware or one-size-fits-all solutions. Their Forward-Deployed Engineering teams embed directly with client organizations to build, integrate, and deploy AI agents that solve specific operational problems — from document automation to decision support to service augmentation.

Looking to accelerate growth in the competitive enterprise AI services market, Honest AI partnered with PromotEdge Digital for performance marketing across Meta (Facebook & Instagram) and Google Ads. The engagement ran for six months with a total ad spend of $30,000 at $5,000 per month.

The Goal

The primary objective was to generate qualified consultation bookings with enterprise decision-makers — specifically CTOs, VPs of Operations, and Digital Transformation leaders at mid-to-large organizations evaluating AI implementation partners.

Our KPIs were clear: drive 50+ qualified consultation calls over six months, maintain a cost-per-booking under $600, and build a predictable lead generation engine that could scale beyond the initial engagement. Secondary goals included growing brand awareness in the enterprise AI space and building retargetable audience pools for future nurture campaigns.

Key Challenges

• Complex service positioning — AI agent development is a sophisticated, high-ticket service. Communicating the value of Forward-Deployed Engineering to non-technical decision-makers required messaging that balanced technical credibility with clear business outcomes.
• Trust and credibility gap — Enterprise buyers are skeptical of AI vendors promising quick results. Honest AI’s 4-week delivery model sounded almost too good to be true. We needed creativity that built trust before the click — leveraging social proof, credentials, and transparent process storytelling.
• Long sales cycles — Enterprise AI services involve multiple stakeholders, procurement processes, and pilot programs before a full engagement. A single consultation booking was just entry into a 2-6 month sales cycle, so lead quality mattered more than volume.
• Platform dynamics — Meta’s algorithm favors e-commerce and B2C content, while Honest AI sells complex B2B services. Creating Meta ads that could stop the scroll and compel a C-level executive to book a consultation required a fundamentally different creative approach.

Research & Insights

Primary Research

We interviewed Honest AI’s founders and sales team to understand their ideal client profile and sales process. Key insight: their best clients weren’t the ones actively searching for “AI agencies” — they were operations leaders frustrated with internal AI experiments that had stalled or failed to deliver ROI.

Their fastest-closing deals came from companies that had already tried building AI internally but hit roadblocks with integration, compliance, or talent gaps. This “failed experiment” audience became a core targeting pillar for our campaigns.

Secondary Research

Competitive analysis showed that most AI consultancies were running generic search ads on terms like “AI development company” and “enterprise AI solutions.” CPCs ranged from $12-$40, but the traffic was often low-intent shoppers comparing vendors.

On Meta, almost no competitor was advertising AI implementation services. The few that were relied on technical jargon and stock imagery. This presented a massive whitespace opportunity — enterprise AI services were virtually unadvertised on social platforms, meaning lower competition and the chance to own the narrative.

Our Strategy

Rather than competing in the crowded search auction for generic AI keywords, we pursued a dual-channel strategy. Google Ads would capture existing demand from high-intent searchers, while Meta would create new demand by educating cold audiences on the hidden costs of DIY AI development.

This approach allowed us to own both ends of the funnel — intercepting active buyers on Google while building a pipeline of future buyers on Meta who hadn’t yet realized they needed an implementation partner.

Channel Mix & Budget Allocation

We allocated the $5,000 monthly budget to maximize each platform’s strengths:

Google Ads focused on high-intent search campaigns targeting decision-makers actively evaluating AI implementation partners. Meta took a broader educational approach, using video content and case studies to build awareness and drive consultations from audiences not yet in active buying mode.

Audience Targeting

We built precision audiences tailored to each platform’s strengths:

• Google — Intent-Based Segments — Targeted keywords around “AI implementation partner,” “enterprise AI deployment,” “AI agent development,” “hire AI engineering team,” and “AI pilot program.” Added negative keywords for job seekers, free tools, and low-intent queries.
• Meta — Interest & Lookalike Audiences — Targeted by job title (CTO, VP Operations, Director of Digital Transformation, Chief Innovation Officer) at companies with 200+ employees. Layered interest targeting around enterprise software, digital transformation, and AI/ML content consumption.
• Retargeting — Cross-Platform — Website visitors who viewed pricing, case studies, or the consultation booking page. Sequential messaging moved prospects from awareness to consideration to action over 14-30 day nurture windows.

Creative Strategy

Our creative strategy was built on one insight: enterprise buyers don’t wake up wanting an AI agent. They wake up wanting to solve a business problem. Every ad started with the problem, not the technology.

For Google, we used expanded text ads with problem-aware headlines: “Your AI Pilot Stalled?” / “We Deploy Production Agents in 4 Weeks” / “No More Vaporware — Just Working AI.” Ad extensions highlighted 50+ production agents, no vendor lock-in, and the free consultation offer.

For Meta, we led with short-form video content. One high-performing format featured Honest AI’s founders walking through real deployment timelines — “Week 1: Discovery. Week 2-3: Build. Week 4: Deploy.” The transparency and specificity of the 4-week promise cut through the generic AI hype flooding social feeds.

Campaign Execution

Month 1-2: Foundation phase. Campaign setup, conversion tracking implementation, and creative testing. We launched 3 Google search campaigns and 2 Meta campaigns (video + carousel) with 3 creative variants each. Initial CPL was above target as the algorithms learned.

Month 3-4: Optimization phase. With conversion data flowing, we doubled down on top-performing audiences and paused underperformers. Google responsive search ads were refined with high-converting copy combinations. Meta’s best-performing video creative was reformatted into multiple aspect ratios for expanded placement reach.

Month 5-6: Scale phase. Clear winners were identified across both channels. We increased spend on top-performing Google keyword clusters by 30% and expanded Meta lookalike audiences from 1% to 3% similarity. Remarketing sequences were fully activated, driving 28% of total bookings in the final month.

Throughout the campaign, we held bi-weekly reviews with the Honest AI team to align on lead quality feedback and iterate targeting based on which consultations converted to proposals.

Understanding Our Audience

We developed detailed audience personas to guide our messaging and targeting strategy. Each persona reflected a real decision-maker profile in Honest AI’s ideal customer base.

The CTO

“I’ve been tasked with building an AI capability internally, but my team is stretched thin and we keep hitting walls with integration and compliance. I need a partner who can actually ship production-ready agents — not just proof-of-concepts that never see the light of day. Speed and reliability matter more than theoretical capabilities.”

Key Pain Points: Talent shortage for AI engineering, stalled internal pilots, pressure from the board to show AI ROI.

Messaging Angle: 4-week deployment, 50+ production agents shipped, no vaporware — just working AI.

The VP of Operations

“My team spends hundreds of hours on manual document processing and repetitive workflows. I know AI can automate this, but I’ve been burned by vendors who overpromised and underdelivered. I need a solution that integrates with our existing stack and actually works in our environment.”

Key Pain Points: Manual processes draining productivity, previous AI vendor failures, need for seamless integration with existing systems.

Messaging Angle: Business-first AI, integrates with Google Workspace and Microsoft 365, owns everything — no black box.

The Chief Innovation Officer

“I’m responsible for identifying emerging technologies that can give us a competitive edge. Everyone is talking about AI, but I need concrete use cases that deliver measurable business impact — not innovation theater. I want to see proof before I commit the budget.”

Key Pain Points: Separating AI hype from reality, proving ROI before full commitment, risk of failed innovation initiatives.

Messaging Angle: Proof of concept to full deployment roadmap, case studies with real metrics, free consultation to explore feasibility.

Observations

Throughout the six-month campaign, we gathered insights that shaped our optimization strategy:

• Meta outperformed Google on consultation quality — While Google delivered lower CPL, Meta-sourced consultations had a 45% higher close-to-proposal rate. Social-native audiences were more educated about Honest AI’s specific approach before booking.
• Video creative crushed static on Meta — Video ads drove 3.2x more consultations than carousel or image ads. The founder-led “4-week process walkthrough” format became our top performer across all campaigns.
• “Failed experiment” messaging resonated deeply — Ads acknowledging that “most internal AI pilots stall” outperformed positive messaging about AI transformation by 60%. Honest AI’s transparency about common failures built instant credibility.
• Retargeting became the MVP — By month 4, our cross-platform retargeting funnel was driving 35% of all bookings at 40% lower cost than cold acquisition. The 14-day nurture sequence was the campaign’s most efficient engine.
• Consultation page optimization mattered — A/B testing the booking page headline from “Book a Free Consultation” to “See If Your Use Case Is Feasible in 4 Weeks” lifted conversion rate by 22%. Specificity beat generic CTAs.

Results & Impact

Over the six-month engagement, PromotEdge Digital delivered measurable results that exceeded Honest AI’s expectations:

Key Wins

• 58 consultation bookings generated — 16% above the 50-booking target, with 72% meeting sales qualification criteria.
• $517 cost per consultation — 14% below the $600 target, achieved through continuous creative testing and audience refinement.
• 4.8x estimated pipeline ROI — The $30,000 ad spend generated an estimated $144,000 in qualified pipeline — well above the 3.5x target.
• Scalable system built for long-term growth — We delivered a fully operational demand generation engine with proven audiences, winning creative templates, and a cross-platform retargeting funnel ready for budget scaling.

What Honest AI Said

“PromotEdge Digital understood our market better than any agency we’ve worked with. They didn’t just run ads — they helped us articulate our value proposition in a way that resonated with the right buyers. The consultation quality has been outstanding, and the retargeting system they built keeps delivering month after month.”

— Co-Founder, Honest AI

Looking Ahead

Following the success of the initial six-month engagement, PromotEdge Digital and Honest AI have expanded their partnership to include LinkedIn advertising, content marketing, and account-based marketing for enterprise accounts.

The Meta and Google performance marketing engine continues to deliver predictable, qualified consultations — now with an increased monthly budget of $8,000 as Honest AI scales its client acquisition efforts nationally.