Growth Engineer  ·  Solutions Architect

Om Khagram

I bridge executive vision and operational reality.
GTM strategy. AI transformation. Performance media.

The thinking

Principles first.
Then the work.

How I think shapes how I build. These three principles run through every brief, every channel decision, every team conversation. They are not values on a slide. They show up in the work.

Data tells you what happened. Strategy decides what happens next.

Most practitioners stop at the dashboard. The real work is translating signals into decisions, then decisions into systems that do not require repeating the same conversation next quarter.

Efficiency without a point of view is optimization theater.

Automating a bad plan faster does not improve it. I work backward from the business outcome, then build the channel strategy, creative framework, and measurement cadence to serve it.

The best campaigns look inevitable after they work.

Audience precision, creative resonance, measurement clarity. Pull all three levers together and the results feel obvious in hindsight. That is craft, built deliberately.

How the principles apply — tap any discipline

The Framework Om Khagram

Work

11 years. Every role a bigger stage.

Tap any role to expand

Proof

Results that did not happen by accident

11 years across multiple industries
87%
CTR improvement through AI-driven personalization at Zerotrillion ↗ how
68%
Above industry benchmark for Niagara Falls Tourism. Conversion goals exceeded by 92% ↗ how
50%
Agency portfolio growth in 6 months at Social Know How. No headcount added ↗ how
40+
Hours eliminated weekly through AI reporting and workflow automation ↗ how
27%
CPM improvement across 8+ Mondelēz brand campaigns at VaynerMedia ↗ how
23%
YoY digital ROI lift for Nestlé Canada. Six-person team. Full budget ownership at IPG ↗ how

Capabilities

What I bring in the room

Paid Media Channels

Meta AdsGoogle Ads ProgrammaticThe Trade Desk TikTok AdsPinterest SnapchatSEM OTT / CTVDisplay

AI and Growth Operations

Generative AIPrompt Engineering Workflow AutomationCreative Testing Audience PersonalizationAI Ad Optimization AI Reporting Pipelines

Analytics and Measurement

GA4Tableau Adobe AnalyticsMeltwater Attribution ModelingBudget Reconciliation Conversion API

Leadership and Strategy

Team LeadershipBudget Governance RFP LeadershipCross-functional Alignment Brand StrategyPerformance Architecture Agency Portfolio Growth

The questions worth asking

Business challenges. Direct answers.

The hard problems. How I think about solving them.

Most media reporting answers the wrong question. Impressions, CTR, CPM are signals, not proof. Real business growth shows up in revenue, CAC, and MQL quality. I build measurement frameworks that connect the paid media layer directly to the outcomes a CFO cares about. At Kinesso, that meant CRM-integrated lead gen programs with MQL tracking. At Citizen Relations, it meant tying creative variation tests to conversion funnel data. The brief always starts with what success looks like after the campaign ends, then works backward to the channel strategy.

At VaynerMedia we launched a campaign for a Mondelēz brand with strong creative but an audience strategy built on assumptions that did not hold in market. CPMs were tracking poorly in week two. Instead of waiting for the monthly review, I pulled the audience architecture apart and rebuilt segmentation around actual purchase intent signals rather than demographic proxies. We recovered in four weeks and ended 27% above CPM benchmark. The lesson: measurement cadence is a strategic choice. Weekly reviews versus monthly reporting is the difference between catching a problem and explaining why you missed the quarter.

Most of what is marketed as AI in paid media is automation of tasks that should not exist in the first place. Manual reporting. Creative variation naming. Audience tagging. That is the low-hanging fruit, and I have already built the systems that eliminate it. The more useful question is: what decisions can AI make faster and more accurately than a strategist, and what still requires human judgment? I build frameworks that answer that operationally. The 40+ hours eliminated weekly at Zerotrillion is what that thinking looks like in practice. The thinking itself stays human.

You protect the channels closest to revenue and cut the ones furthest from it. The mistake is cutting based on CPM or impressions rather than on actual contribution to pipeline. I build budget governance frameworks that rank channels by their attributed revenue impact, not their reported media efficiency. When a CFO asks for a 20% reduction, I can show exactly which 20% to remove without damaging the outcomes that matter. That conversation only goes well if you built the measurement infrastructure before the conversation happened.

I do not let them stay in separate rooms. The governance playbooks I build at every organization force that translation early: creative briefs with KPI columns, reporting dashboards with creative tagging built in, optimization reviews where both teams are present. When a creative team sees that a hook change moved CVR by 20%, they stop treating performance feedback as criticism and start treating it as craft signal. That shift does not happen by accident. It happens through shared accountability frameworks and a leader who speaks both languages.

The answer is almost always in the operations, not the channels. At Social Know How, we absorbed 50% portfolio growth in six months without adding headcount by building playbooks and campaign SOPs that made execution repeatable. At Citizen Relations and Zerotrillion, AI automation handled the reporting and trafficking work that previously consumed senior capacity. Scaling programs means building systems that do not require proportionally more people as volume increases. That is a design problem, not a hiring problem.

It is not about where the people sit. It is about where the institutional knowledge lives. Brands that in-housed paid media and then had three team members leave in a year discovered this. The right model depends on what the organization is building. If the goal is proprietary audience data and measurement infrastructure, in-housing the strategy layer makes sense. If the goal is executional scale across channels, a capable agency with clear accountability is still the most efficient path. I have operated on both sides and I know which problems belong where.

I hire for intellectual curiosity and teach channel tactics. A person genuinely curious about why a campaign worked will figure out The Trade Desk. One who is technically fluent but has no instinct for the why will plateau. Beyond hiring, I build around accountability, not surveillance: clear KPI ownership, documented playbooks, and a culture where sharing a loss is as normal as sharing a win. The 50% agency growth at Social Know How in six months came from people knowing exactly what they owned and having the tools to execute it.

Connect

Let's build something worth measuring.

If your organization has a growth challenge worth solving and you want someone who builds the answer rather than reports on the symptoms, let's talk.

om.khagram@gmail.com