Business Growth Consulting Portfolio

Challenge

The client sold internationally, but its website was a basic stand up that did not carry the company. It had no narrative arc and no stated strategic position. It also lacked the material a serious buyer or investor looks for: product data sufficient for customer due diligence review, investor information, company leadership information, and clear value proposition messaging.

Approach

I designed the site, developed it alongside the client’s team, maintained it, and created all of its content. It runs on WordPress, built with Divi.

Outcome

Site traffic, search click through, and content engagement were up more than 1,500% year over year as of February 2026.

Challenge

This prototype was designed to answer a single question: what KPIs should a Chief Revenue Officer’s dashboard surface? It is built for a large enterprise CRO, and concentrates on pipeline health, forecast quality, and customer lifetime value (CLTV) growth, which is the measure most often missed.

Approach

The design covers top level revenue KPIs, product and community based marketing signals, customer success metrics, organizational KPIs, forecast health tracking, and data analytics driven by artificial intelligence.

Outcome

Balanced scorecards generate from settings that define company goals and objectives, so the board adapts as targets change rather than being rebuilt.

Challenge

Discovery is shifting from links to AI answers. The signals that matter, being traditional rankings, answer engine visibility, and generative engine citations, were not measurable in one place.

Approach

A weekly automated agent built with Claude Code pulls Google Search Console, DataForSEO, and PageSpeed data, writes a snapshot to a custom Dynamics 365 table, and surfaces it as trend charts and peer benchmarks. It tracks organic keyword rankings and estimated traffic against a competitor set, Search Console impressions and average position, referring domains, on page score, homepage Core Web Vitals, and AI mentions.

Outcome

Ranking, authority, technical health, and AI citation presence land in a single view: the early signal that demand generation and revenue operations teams need as discovery moves toward AI answers.

Challenge

Bid decisions were being made without a reliable read on where the product stood against twelve competitors, or on how pricing and functionality would interact with a given scoring methodology.

Approach

I monitored product functional scope changes across 12 market competitors on a continuing basis, and used research and freedom of information requests to track their pricing strategies. The model applies a weighting, so that for any competitive bid, over 40 functional attributes across 12 competitors could be assessed against that bid’s specific requirements.

Outcome

The model produced a probability of success, and showed how pricing and functionality interacted with each bid’s scoring methodology. That was sufficient to decide whether to pursue a public tender, what the pricing strategy should be, and how to respond to changes in the competitive landscape.

Challenge

After writing and submitting a request for proposal (RFP) response on behalf of a client, the bid was neither short listed nor awarded. The competitive model had predicted a first or second position out of ten vendors, so the result warranted examination.

Approach

I used a competitive analysis model I had created earlier to predict the bid score within plus or minus 5%. I then submitted a freedom of information request to obtain the city’s bid scoring data and competitor responses, and ran the analysis again against the actual numbers.

Outcome

The analysis showed that we had submitted the top scoring bid. After discussions, the city offered a significant monetary settlement and an admission that it had failed to properly award the contract.

Challenge

Municipalities evaluating LED retrofits and smart lighting controls needed a defensible view of current state costs and emissions, and of what actually changes after a project, including how dimming affects asset lifecycles.

Approach

I developed a detailed cost benefit model assessing current state municipal streetlighting operating costs and greenhouse gas (GHG) footprint, costs and footprint before and after both LED retrofit and smart lighting controls projects, and the effect of dimming on streetlight asset lifecycles. It draws on municipal open data streetlight assets, ANSI RP-8 roadway classification and dimming standards, and the specific utility rate plan for each city.

Outcome

The model adapts to self financed budget appropriations, bond issues, or energy services contract financing, so the same analysis supports whichever funding route a city takes.

Challenge

The client had product cut sheets, but they were not collected in a solution context. The Solutions Guide pulls the product data together into a narrative flow, opening with a solution lens preface and closing with a competitive comparison.

Approach

I designed and created the guide and all of the content within it in Adobe InDesign, using Adobe Illustrator, Pixelmator Pro, SketchUp 3D, and LucidChart. It features a hyperlinking table of contents to sections, a reusable categorized media library, and structured formatting built for scale.

Outcome

The categorized media library enables team based maintenance and readability, and the structured formatting allows new products to be added without rebuilding the document.

Open the Solutions Guide (PDF)

Challenge

Quoting sensor deployments accurately requires knowing where the sensors should go, and that depends on each customer’s actual asset inventory and locations rather than on an estimate.

Approach

I developed a geographic information system (GIS) model to optimize the placement of sensors, using customer asset inventory and location data for accuracy.

Outcome

The model validated project costs and enabled rapid generation of accurate price quotes for projects of any size. It adapts to any customer environment, working from open data or from a structured internal asset inventory.

Challenge

Preparing request for proposal (RFP) responses on behalf of a client required User and Installation Guides that did not exist. The solution was assembled from several off the shelf components that were field wired and installed. The client’s existing diagram was not detailed enough for the purpose, and the development team was unavailable.

Approach

I created the diagram in LucidChart, working from the client’s existing diagram and from the installation guides of each component vendor in order to confirm accuracy.

Outcome

The diagram served the installation and user guide, and, as an insert, the technical specifications cut sheet.