UNDER THE TREE / SELECTED WORK
EVIDENCE BRIEF
Judgment. Execution. Outcomes.
Selected Work
This is not a conventional portfolio. It is a concise record of the judgment, execution, and outcomes behind selected engagements.
Client identities remain anonymized by design. Each case states what I was trusted with, what I contributed, what changed, and where the evidence stops. Deeper operating context or verification may be made available selectively when relevance, permission, and mutual commitment justify it.
I do not use client identities as proof. I document decisions and outcomes precisely enough that the work can be examined.
01
Rebuilding a High-Ticket E-Commerce Decision System
Context
A specialized construction-equipment manufacturer sells high-ticket productivity and access equipment through its own e-commerce store, Google Ads, Amazon, and dealer channels. The business had active demand and an internal marketing function, but a strategically important product line sat inside a fragmented system: category ambiguity, difficult model selection, competing landing paths, inherited conversion infrastructure, inventory constraints, and pressure to make every advertising dollar work harder.
Engagement
I serve as a weekly strategic marketing advisor to the internal marketing lead. My role is not to replace her execution. It is to help her interpret the business, identify the active constraint, pressure-test assumptions, sequence the work, and make commercially defensible decisions across positioning, paid acquisition, customer journey, analytics, conversion architecture, inventory, and capital allocation.
Starting State
Paid traffic was reaching the product ecosystem, but the business could not clearly explain what happened after the click. Buyers had to move through an informational brand page before reaching a purchasable product page; model differences were not always clear; purchase volume was too sparse to give automated bidding a dependable signal; and Shopify, GA4, and Google Ads did not tell the same attribution story.
Judgment and Decision Sequence
Rather than reduce the problem to “run better ads,” I helped separate four different constraints: category and positioning, landing-path friction, bidding signals, and attribution.
We sequenced the work accordingly: strengthen the product story; test the brand-page and collection-page experiences; establish behavioral benchmarks; move the strongest brand-page elements into the product pages; remove the unnecessary intermediate step; restore Purchase as the broader account’s commercial objective; and isolate Add to Cart and Begin Checkout as deeper-funnel learning signals for the product-specific campaign.
Role and Execution Boundary
The internal marketing lead built and implemented the pages and many of the campaign changes. I directed the diagnostic and decision process: interpreting campaign and GA4 behavior, designing the route tests, preventing premature conclusions, auditing Primary and Secondary conversion actions, preserving useful campaign history, and helping reallocate spend away from campaigns or products that were non-producing, structurally disadvantaged, or unavailable.
Outcome
Within the first full week after paid traffic was concentrated on the direct-product route, the campaign generated approximately 21,000 impressions and 1,125 clicks on roughly $148 in spend—about $0.13 per click—with the strongest click-through rate observed in the account and approximately 7–9 deeper-funnel conversion signals, depending on the reporting view.
During the same test period, the business received a roughly $14,000 Shopify order for three units in one transaction. The customer entered directly through the product page rather than the older brand-page path. GA4 captured the purchase and product-level e-commerce behavior, while Google Ads did not report the same purchase, exposing the next constraint: the measurement chain itself.
Evidence Boundary
The campaign’s traffic efficiency and deeper-funnel activity are directly observable. The product page demonstrably supported a high-value transaction. The acquisition source of the approximately $14,000 order could not be reconstructed, so I do not claim that Google Ads caused the sale.
The evidence supports the decision sequence and the commercial viability of the new route; it does not support conclusive last-click attribution.
What This Demonstrates
This is the clearest expression of my operating value: I function as connective tissue across positioning, acquisition, conversion, analytics, operations, and economics.
The value is not one tactic. It is identifying the active constraint, aligning the work around it, carrying the decision into execution, and refusing to claim more than the evidence supports.
02
Turning Paid Demand into Qualified Conversations
Context
A premium local service business relied primarily on referrals and inconsistent word of mouth. Demand existed, but customer acquisition was unpredictable, and the path from interest to purchase created unnecessary friction.
Role
I owned the marketing strategy, offer refinement, creative production, Meta advertising, campaign optimization, lead qualification, and conversion strategy. This was an end-to-end acquisition engagement rather than a narrow media-buying assignment.
Intervention
I refined the premium-service positioning, produced the advertising creative, built and optimized the Meta campaigns, and redesigned the conversion path.
The critical move was taking prospects out of a friction-heavy booking-software flow and routing them into direct conversations where intent could be qualified and converted in real time.
Outcome
The system generated approximately 30 to 35 qualified leads per week, filled the business to operating capacity, and approximately doubled recurring monthly revenue within 3–4 months.
Conversion efficiency improved without an increase in advertising spend because the existing demand was given a cleaner route to action.
Evidence Boundary
Lead volume, operating capacity, advertising spend, and the recurring-revenue change were observable across the engagement. The result belongs to the acquisition system as a whole—positioning, creative, paid distribution, routing, qualification, and follow-up—not to a single ad or isolated platform metric.
What This Demonstrates
This case shows my ability to diagnose a conversion constraint beyond the campaign itself. I connected offer, media, customer journey, and sales conversation into one operating system, then improved the part of the system that was actually limiting growth.
03
Validating Digital Demand in a High-Trust Market
Context
A real-estate and financial-services business relied on traditional outreach and relationships to attract investors. It operated in a high-trust environment where credibility, compliance, and the quality of the conversation mattered as much as reach, but it had no structured digital acquisition system.
Role
I owned the marketing strategy, positioning, investor-focused messaging, campaign development, lead generation, and prospect qualification.
Intervention
I built the investor-acquisition campaign from scratch, translated the offer into messaging appropriate for a trust-sensitive market, launched the social acquisition path, and managed inbound qualification through direct conversations.
The objective was not simply to collect leads; it was to determine whether the market would initiate serious conversations through a digital channel.
Outcome
The campaign generated inbound investor interest within 48 hours and produced qualified conversations initiated by prospective investors rather than outbound pursuit. That response validated digital acquisition as a viable, repeatable demand-generation path for the business.
Evidence Boundary
The inbound responses and qualified conversations are directly attributable to the campaign. The engagement does not support a claim of closed transactions or downstream revenue, so the defensible result is demand validation and qualified pipeline creation—not booked financial performance.
What This Demonstrates
This case shows that I can build demand in a market where trust is the conversion mechanism. I can translate a complex, credibility-dependent offer into positioning and acquisition infrastructure that gets the right people to raise their hands.
04
Launching and Proving a Live-Commerce Channel
Context
A resale business wanted to launch a direct-to-consumer live-commerce channel with no existing audience, brand presence, or operating experience on the platform.
Role
I owned the brand strategy, product positioning, pricing strategy, live selling, customer acquisition, and conversion optimization. I was both the strategist designing the commercial system and the operator testing it in front of customers.
Intervention
I launched the live-commerce operation from a standing start, built the brand and offer presentation, structured pricing, hosted the selling sessions, and continually tested messaging, product mix, customer objections, and engagement behavior. Each event became a live feedback loop for the next one.
Outcome
The operation sold approximately 300 units within 90 days, established repeat purchasing behavior, and produced a scalable pricing and product strategy through real-world testing.
The work validated live commerce as a viable direct-to-consumer sales channel rather than an untested distribution idea.
Evidence Boundary
The unit sales and repeat purchasing occurred inside the live-commerce operation and are directly connected to the launch. Revenue and profit figures are not presented because they are not required to establish the result and are not part of the evidence being claimed here.
What This Demonstrates
This case shows zero-to-one commercial execution: building the brand, offer, channel, selling process, and learning system at the same time.
It demonstrates that I can create traction without inherited infrastructure and turn direct customer behavior into better positioning, pricing, and conversion decisions.