Know Me

"What sets me apart is that I do not treat paid media as ad buying. I treat it as an integrated growth system.

I operate at three layers simultaneously:

• 1. Strategic Layer (Market Understanding and Positioning) I build performance marketing from the business problem backward. This includes ICP, value propositions, offer design, pricing, funnel paths, and measurement. This lets me scale budgets with confidence instead of chasing cheap clicks or short-lived tactics.
• 2. Technical Layer (Platform Mechanics and Data Systems) I am hands-on with Google Ads, Meta, and LinkedIn, but I am equally strong on the infrastructure behind them. This includes tracking, attribution, offline conversion imports, CRM routing, creative testing frameworks, and decision-based bidding such as ROAS, tROAS, mROAS, and aROAS. This ensures platforms learn the right signals and improve efficiency as spend increases.
• 3. Creative Layer (Story, Offer, and Conversion Psychology) Most performance marketers optimize media but not the message. I apply direct-response psychology, identity-based copy, and high-velocity creative iteration across the funnel. This improves hooks, addresses objections, increases trust, and shortens time-to-conversion.

The end result is that I can scale spend, increase ROAS, and reduce CAC not by tweaking campaigns in isolation but by engineering the revenue system that surrounds them."

"I’ve managed large, multi-channel budgets where the goal wasn’t just spend, it was predictable returns and lead quality. My allocation approach is structured like an investment portfolio.

First, I separate the budget into three buckets: proven performers, growth tests, and strategic coverage. Proven performers get the majority because they consistently drive qualified leads. Growth tests get a controlled percentage so we can find new pockets of scale without risking efficiency. Strategic coverage protects the brand and keeps us present in key moments, like competitor and high-intent search.

From there, I allocate based on three inputs: marginal return, lead quality, and capacity. If the intake team can’t handle additional volume or answer rates drop, I won’t push spend just to hit a number. I’m constantly checking conversion quality through call tracking, form attribution, and downstream outcomes like qualified leads and signed cases when available.

So the short version is: I scale what’s proven, test new angles in a disciplined way, and keep reallocating toward the channels and campaigns producing the best quality and return."

"In a previous role, we were spending aggressively across Google Ads and organic, but reporting was incomplete because phone calls were our main conversion and we couldn’t reliably tie them back to channel and keyword performance.

I implemented a call tracking platform with dynamic number insertion, connected it to GA4 via GTM, and standardized UTMs so every lead had a clean source path. Then I worked with intake to tag outcomes like qualified, not qualified, and signed inside the CRM. Once that was stable, I imported qualified and signed events back into Google Ads as offline conversions.

The result was immediate. We stopped optimizing to cheap calls and started optimizing to outcomes. We reduced wasted spend, improved cost per qualified lead, and increased the number of signed cases because we shifted budget toward campaigns that produced the right callers. The phone is the funnel."

"I see brand and performance as the same system, just operating at different speeds. Performance marketing captures demand that already exists, while brand building increases the amount of demand available and improves conversion efficiency over time.

My approach is to treat brand like an asset that improves performance metrics: higher click-through rates, lower cost per lead, higher trust, better conversion rates, and more branded search volume.

Practically, I allocate budget into three layers:

• Capture: high-intent search and local for immediate leads
• Convert: CRO, landing pages, reviews, case results, intake speed
• Create demand: video, PR, social proof, and content that builds trust and recognition

I measure performance weekly, and I measure brand through leading indicators like branded search growth, direct traffic, engagement, and conversion rate lift. The balance is dynamic, but the rule is simple: protect your high-intent pipeline while consistently investing in trust and awareness so performance gets cheaper and more scalable."

"When information is incomplete, I make decisions using triangulation and controlled risk, not guesswork.

In legal marketing, the biggest gaps are usually call quality, lead duplication, and signed-case visibility by channel, so I start by building a ‘good enough’ decision layer using proxy signals:

• High-intent search terms and landing page match
• Call metrics like answer rate, duration, and first-time callers
• Intake disposition like qualified vs unqualified
• Consult booked rate and speed to contact

When data is incomplete, I follow a 5-step decision model:

1. Define the decision clearly: Example: should we scale truck crash spend in Austin or shift budget to another market?
2. Use a hierarchy of signals: Signed cases > qualified consults > qualified leads > calls/forms > clicks/impressions.
3. Triangulate sources: Ad platform data + GA4 + call tracking + intake notes + call recordings.
4. Run controlled tests: Small budget, fixed timeframe, clear pass/fail criteria, and a holdout where possible.
5. Make reversible moves first: Shift 10–20% of spend, measure impact, then scale winners and cut losers.

Then I treat budget like a portfolio. I keep a baseline in proven campaigns, and I use small, time-boxed tests to reduce uncertainty. If a new geo or case type looks promising, I scale only after it proves quality. If it produces noise, I cut fast and document why. The key is I don’t wait for perfect data. I build a decision framework that protects lead quality, improves learning weekly, and moves spend toward what turns into signed cases."