The first 30 days
We target data, AI and engineering leaders inside accounts with active AI work, and promote concrete use cases and governance content.
LinkedIn Ads for AI and machine learning companies
In short
PlanConversion, a Montreal-based B2B demand and revenue generation agency, runs LinkedIn Ads for AI and machine learning companies. Heads of data, AI and engineering, and business sponsors, are reachable by role.
We target them inside accounts with active AI work, with concrete use cases and governance answers rather than hype. Programs are measured on engaged accounts, meetings and pipeline.
Last updated
Trusted by enterprise B2B teams
Founder’s in-house leadership as Director of Revenue Growth
Our point of view
What works in AI and machine learning
Heads of data, AI and engineering, and business sponsors, are reachable by role. We target them inside accounts with active AI work, with concrete use cases and governance answers rather than hype.
Avoid this
The most common mistake
Using hype-driven creative with data and AI leaders who want concrete use cases, architecture and governance answers.
Plays
What we run for AI and machine learning teams
AI leadership targeting
Data, AI and engineering leaders.
Concrete use cases
Outcomes and architecture.
Governance content
Security and legal answers for reviewers.
The first month
How we start
Leading indicator to watch
Engagement from data, AI and engineering leaders in target accounts.
How the program runs
Campaigns are built by account tier and buying role from CRM data, tested one variable at a time, and connected to the CRM through lead gen forms with source and routing fields. Each month ends with a decision on which audiences and offers to scale. The full LinkedIn Ads service page lists every deliverable.
Who we reach
The buying committee
- Heads of data, AI and engineering
- CTO and CIO
- Line-of-business sponsors
- Procurement, security and legal
A category that changes monthly
Positioning goes stale fast, and buyers struggle to tell vendors apart.
Buyers research in AI assistants
Shortlists form in AI answers before any website visit.
Proof is hard to show
Outcomes depend on the customer data and use case, so evidence needs care.
Official Demandbase partner
Demandbase programsWe implement and run Demandbase for enterprise ABM
As an official Demandbase partner we operate the platform end to end, connect it to your CRM and report on pipeline, not impressions.
Proof
Results from comparable programs
Anonymized / Enterprise software42% more qualified pipeline in six months for an enterprise software company42%lift in qualified pipeline within 6 months$40M+pipeline influenced by the engagement3xSQL volume from paid channelsRead the case study →KNIME / Data analytics softwareKNIME case study: 51% lower cost per lead with paid media accountable to pipeline51%lower cost per lead, with lead volume holding steady9 in 10leads meeting the client quality standard, verified in the CRM77%of qualified search leads from purpose-built landing pagesRead the case study →Worked example / Enterprise B2B technologyFrom paid spend to revenue: $600K of media, $7.2M of attributed pipeline12:1pipeline-to-spend$7.2Mmarketing-sourced pipeline attributed through to the CRM$1.9Mclosed-won revenue in period, fully attributedRead the case study →
PlanConversion went beyond flagging a misfiring tracking tag. They brought the fix and a forward-looking testing plan to keep our tracking reliable.
Pipeline quality and win rates improved within a quarter. We finally had one connected demand engine with shared metrics.
Recommendations
What senior leaders say about our founder, Hojabr Sattari
Recommendations for our founder, written by executives, peers and team members on LinkedIn. Read all 14 recommendations
Babak VarjavandiCEOManaged Hojabr directlyI am delighted to recommend Hojabr, who I worked with when he was our Sr. Manager of Marketing. Because of him we had a remarkable increase in our web presence, thanks to his expertise in digital marketing. As the CEO, I’ve closely observed Hojabr’s positive impact on our team. He encourages creativity and innovation, making him not only a great leader but also a catalyst for our success.
Amanda MillerGlobal Revenue Marketing Executive and Growth StrategistManaged Hojabr directlyWorking with Hojabr has been nothing short of inspiring. As Director of Digital Strategy & Experience, he has revolutionized our digital presence, transforming our website into a customer-centric, high-performing platform that delivers measurable business impact. Hojabr’s no-nonsense approach, combined with his relentless drive to achieve results, sets him apart as a true leader who gets things done, fast and effectively. His ability to tackle complex challenges, like integrating SEO in-house and resolving large-scale technical issues, reflects his strategic mindset and unwavering commitment to excellence.
What truly makes Hojabr exceptional is his leadership. He has not only elevated his own team, unlocking potential and delivering performance I’ve never seen before, but has also mentored across the marketing organization, raising the bar for everyone he works with. His sharp focus on delivering value, both from internal teams and external agencies, ensures that every dollar spent drives meaningful outcomes. Hojabr’s cross-functional collaboration and experimental, data-driven approach are driving results that impact the entire company, and his work is a cornerstone of our digital and revenue success.
If you’re looking for someone who combines vision, execution, and the ability to lead others to greatness, Hojabr is the person you want on your team. I’m proud to work alongside him and excited to see the incredible impact he will continue to make.
Recommendations written on LinkedIn about our founder, Hojabr Sattari, mostly from his previous in-house leadership roles. Lightly edited for punctuation and to remove company names. Titles are each person’s current LinkedIn headline. They describe Hojabr’s work, not specific PlanConversion client engagements. View on LinkedIn
Keep exploring
Related pages
ServiceThe full LinkedIn Ads serviceScope, deliverables, pricing and how the program runs.IndustryOverview: AI and machine learningBuyers, channels and compliance notes for this industry.BenchmarkLinkedIn Ads benchmarks for B2BSourced 2026 figures and what we would do about them.By cityLinkedIn Ads in San FranciscoLinkedIn Ads agency in San Francisco: account and role targeting, heavy exclusions and lead gen forms connected to your CRM, measured on pipeline.By cityLinkedIn Ads in SeattleLinkedIn Ads agency in Seattle: account and role targeting, heavy exclusions, structured testing and lead gen forms connected to your CRM, measured on pipeline.By cityLinkedIn Ads in MontrealLinkedIn Ads for Montreal B2B teams: account and role targeting, bilingual creative, lead gen forms connected to your CRM, and pipeline reporting.Same industryABM for AI and machine learningABM for AI and machine learning companies: AI initiative signals and technical and business sponsors, the mistake to avoid and how results are measured.Same industryGoogle Ads for AI and machine learningGoogle Ads for AI and machine learning companies: enterprise use case terms and learning and free exclusions, the mistake to avoid and how results are measured.Same industryGEO for AI and machine learningGEO for AI and machine learning companies: category definition pages and competitor comparison prompts, the mistake to avoid and how results are measured.
Other industries industrial technology and manufacturing · data and analytics software · enterprise SaaS · financial technology · healthcare technology · logistics and distribution · educational technology · cybersecurity · marketing technology and analytics
FAQ
LinkedIn Ads for AI and machine learning
What does LinkedIn Ads for AI and machine learning companies involve?
Heads of data, AI and engineering, and business sponsors, are reachable by role. We target them inside accounts with active AI work, with concrete use cases and governance answers rather than hype. The core plays are AI leadership targeting, concrete use cases, governance content.
Who do you reach with LinkedIn Ads in AI and machine learning?
The roles that shape the decision: heads of data, AI and engineering, CTO and CIO, line-of-business sponsors, procurement, security and legal.
What is the most common LinkedIn Ads mistake in AI and machine learning?
Using hype-driven creative with data and AI leaders who want concrete use cases, architecture and governance answers.
How is LinkedIn Ads for AI and machine learning measured?
On engaged accounts, meetings and pipeline, reported from your CRM. The leading indicator we watch first: engagement from data, AI and engineering leaders in target accounts.
How much does LinkedIn Ads for AI and machine learning companies cost?
Paid media management is 15% of monthly ad spend up to $50K, 12% from $50K to $200K and 10% above $200K, with the monthly minimum and setup confirmed in your proposal and no media markup. Fees are in USD; Canadian clients pay the same amounts in CAD. Ad spend is paid by you directly to the platform.