Case Studies

The team needed a better way to see when demand was changing before stockouts or overbuying became obvious. We combined sales, marketing, and product-level signals into a forecasting workflow that flagged demand shifts and gave operators a cleaner planning view.

A service brand with high lead volume needed better prioritization for its sales team. We built a predictive lead scoring model using source, behavior, geography, service category, historical conversion data, and response patterns to identify the opportunities most likely to convert.

An executive education provider needed a faster way to create customized teaching materials from real-world business scenarios. We built an AI-powered case generation tool that transformed structured inputs into polished discussion cases, facilitator prompts, and classroom-ready learning materials.

A consumer products company needed clearer visibility into sales by channel, SKU, geography, and seasonality. We built an automated dashboard that combined retail, e-commerce, and marketing data so leadership could identify growth opportunities and underperforming segments.

A business school needed better visibility into enrollment, program engagement, event participation, and marketing activity. We designed a centralized data warehouse that connected institutional systems into a cleaner reporting foundation for leadership decision-making.

A manufacturer needed better visibility into production throughput, downtime, order backlog, and fulfillment performance. We built a reporting layer that connected operations data into role-specific dashboards for leadership and plant managers.

A pest control brand had ad platform data, form data, call data, and booked job data sitting in separate systems. We rebuilt attribution reporting around real booked revenue rather than surface-level lead counts.

A luxury retailer needed shoppers to find products using natural language instead of exact product names. We built a semantic product search layer that understood style, use case, occasion, and product attributes, improving discovery across a large catalog.

Leadership had interest in AI but no clear path from ideas to implementation. We mapped high-friction workflows across sales, operations, reporting, and customer communication, scored use cases by feasibility and impact, and translated the findings into a sequenced AI roadmap with governance checkpoints and pilot candidates.

The school needed an AI policy that was usable in classrooms, not a dense compliance document nobody would follow. We created a plain-language governance framework covering faculty discretion, student disclosure, prohibited use, privacy, and responsible experimentation.

A franchise brand had fragmented marketing, CRM, call, and website data across dozens of locations. We designed a centralized reporting layer that normalized lead sources, location performance, ad spend, call outcomes, and booked appointments into a single executive dashboard.

The site had growth potential, but organic visibility and conversion paths were not working together. We improved technical SEO, content structure, search relevance, and on-page calls to action so more qualified visitors could become measurable opportunities. The result: essentially all of their YouTube views, website traffic, and engagement are now attributable to our work.

The original paid social opportunity was less about reach and more about finding the right buying triggers. We tested audience segments, creative angles, and retargeting paths so the campaign could improve around actual revenue signals. The work produced a more durable system with measurable impact, including 7.9X ROAS.

Leadership needed to understand which markets and channels were actually creating pipeline, but the data lived across disconnected ad platforms, CRM objects, and spreadsheets. We built a consolidated reporting model that connected source, lead, appointment, and sale activity into a single executive view.

The sales team had more inquiries than they could treat equally, and existing reports did not separate volume from quality. We built a lead scoring model using historical conversion patterns, channel behavior, and inquiry attributes so reps could prioritize the opportunities most likely to close.

A legal services firm was spending too much time reviewing repetitive intake documents. We built an AI-assisted intake workflow that extracted key facts, flagged missing information, categorized case type, and prepared a structured summary for staff review.

The team was losing time triaging repetitive intake and follow-up tasks. We designed an AI-assisted workflow that classified requests, summarized key details, routed the work to the right team, and kept a human approval step in place for sensitive actions.

The client needed a product that could support real users, not just a static site or lightweight prototype. We designed and built the application workflow, data capture, user experience, and operational foundation needed to launch. The app ultimately acquired over 200 radio station clients.

The client needed more than dashboards. They needed trustworthy definitions, repeatable pipelines, and reporting that could support operating decisions. We rebuilt the analytics foundation around clean inputs and leadership-ready outputs. The work produced a more durable system with clearer ownership, cleaner measurement, and a better path from activity to outcomes.

This business needed more qualified demand without pouring budget into broad, low-intent searches. We rebuilt the account around intent tiers, tighter conversion tracking, disciplined search-term cleanup, and landing-page alignment so spend moved toward the customers most likely to convert. The work produced a more durable system with measurable impact, including 10X+ consistent return on ad spend.

A growing clinic group wanted to adopt AI but did not know where it would create measurable value. We interviewed staff, reviewed intake, scheduling, documentation, reporting, and follow-up workflows, then built a prioritized roadmap tied to savings potential, implementation complexity, data risk, and operational feasibility.

A financial services firm wanted to explore AI while maintaining strong review, compliance, and data protection standards. We developed an AI governance framework and paired it with a practical pilot roadmap focused on low-risk internal workflows.

A restaurant operator needed to compare revenue, labor, promotions, reviews, and customer trends across brands and locations. We built a normalized reporting structure that gave leadership a clearer view of what was driving location-level performance.

Search visibility was not the only issue. We also needed to make the website easier for high-intent visitors to act on. The work combined SEO cleanup, content improvements, and conversion-path refinement. The work produced a more durable system with measurable impact, including increased organic traffic by 239%.

The brand needed paid social to produce measurable buying behavior, not just inexpensive engagement. We built a creative testing structure, clarified the offer, tightened retargeting, and used performance feedback to scale the strongest audience and message combinations. The work produced a more durable system with measurable impact, increasing first-time visitors by 51%.

A supplier needed better demand visibility across product categories, regions, and customer segments. We rebuilt their data pipeline, cleaned historical transaction data, and created forecasting views to help leadership anticipate demand and purchasing needs.

An e-commerce retailer was struggling to balance inventory availability with cash tied up in slow-moving products. We built a demand model that combined historical sales, seasonality, promotions, and product category trends to improve purchasing decisions.

A nonprofit needed a better way to prepare for donor and partner conversations. We built an AI-assisted research workflow that summarized public information, prior engagement history, giving interests, and suggested talking points for staff review.

Senior staff were spending too much time gathering background research before every sales opportunity. We built a controlled research and drafting workflow that pulled approved source material, generated structured account briefs, and produced first-draft proposal sections for human review.

The project required a custom workflow that off-the-shelf tools could not handle cleanly. We built the application around the actual user journey, administrative needs, and data capture required to support adoption. The app ultimately acquired over 20K sign-ups from doctors and PTs.

The team had data, but not a dependable decision system. We consolidated key sources, clarified reporting logic, and built a more reliable analytics layer so leaders could see what was happening without manually reconciling spreadsheets. The work produced a more durable system with measurable impact, including a predictive model with over 0.80 adjusted R² for predicting patient return rate.

The account had room to grow, but only if performance could stay accountable. We restructured campaigns around commercial intent, improved the match between keywords and offers, and used ongoing optimization to separate useful demand from wasted clicks. The work produced a more durable system with measurable impact, including 10X+ consistent return on ad spend.

The site had growth potential, but organic visibility and conversion paths were not working together. We improved technical SEO, content structure, search relevance, and on-page calls to action so more qualified visitors could become measurable opportunities. The work produced a more durable system with measurable impact, including increased organic traffic by 339% and conversion rate by 29%.

The client needed a cleaner way to turn social attention into sales. We paired creative iteration with conversion tracking and retargeting so budget could move toward the messages that created qualified action. The work produced a more durable system with measurable impact, including 14.5X ROAS.

An insurance brokerage needed better visibility into renewals, client risk, producer activity, and policy concentration. We cleaned and connected CRM, policy, and revenue data into a reporting foundation designed for retention and cross-sell analysis.

A SaaS company needed to identify churn risk earlier than renewal month. We built a churn model using product usage, support activity, account age, plan type, login behavior, and prior renewal history to surface accounts needing proactive attention.

A professional association wanted to better understand member engagement across events, email, committees, dues, and content. We built an AI-assisted member summary workflow that produced staff-reviewed engagement profiles before renewal and sponsorship outreach.

A multi-location home services brand was losing revenue because leads were routed inconsistently across markets. We built an AI-assisted lead triage workflow that classified inquiries by urgency, service type, market, and sales readiness, then pushed structured follow-up tasks into the CRM. The system helped the team prioritize high-intent leads while keeping people in control of final outreach.

The organization needed a cleaner digital experience for new members, internal admins, and recurring communications. We built a custom portal with onboarding flows, profile data capture, admin visibility, and automated handoffs into the operating workflow.

The client needed more than dashboards. They needed trustworthy definitions, repeatable pipelines, and reporting that could support operating decisions. We rebuilt the analytics foundation around clean inputs and leadership-ready outputs. The work produced a more durable system with measurable impact, including improved visibility and reporting for custom CRM and other data sources.

The client needed a steadier acquisition engine, not a campaign that only looked good on surface-level traffic. We tightened targeting, cleaned up conversion measurement, and shifted budget toward the searches and audiences most connected to revenue. The work produced a more durable system with measurable impact, including 39% YoY growth on 3 locations of AFC urgent care owned by same franchisor.

A home services company wanted to understand why strong lead volume was not translating into enough booked appointments. We built an AI-assisted call review workflow that categorized missed opportunities, pricing objections, service urgency, and follow-up gaps across recorded calls.

A wellness brand needed clearer visibility into booking behavior, service mix, staff utilization, and repeat customer patterns. We developed a custom dashboard that connected booking, revenue, and customer data into an owner-friendly reporting experience.

The organization had useful signals buried across tools and teams. We connected the data, standardized the metrics, and delivered reporting that made performance easier to diagnose and act on. The work produced a more durable system with measurable impact, including improved member retention within NC for people getting insurance from marketplace by 19%.

Growth was being limited by scattered campaign structure and unclear lead quality. We rebuilt the paid search foundation around buyer intent, cleaner tracking, stronger negative keyword controls, and a more practical optimization rhythm. The work produced a more durable system with measurable impact, including 30% increase in enrollment.

A recruiting technology company needed to collect, enrich, and structure job posting data across multiple sources. We built a custom scraping and enrichment pipeline that normalized job titles, companies, locations, remote status, experience level, and functional categories.

Leadership was making decisions across scattered systems and inconsistent definitions. We cleaned the data model, rebuilt the reporting layer, and created analytics workflows that gave the team a clearer view of performance, risk, and next-best actions. The work produced a more durable system with measurable impact, including improved Atlassian University paid course sign-ups by 214%.

The organization needed paid media to behave like a revenue channel, not just a visibility channel. We focused on high-intent queries, better local or product-level segmentation, and reporting that made performance easier to manage week to week. The work produced a more durable system with measurable impact, including 47% increase in enrollment.

A real estate investment group needed a more consistent way to evaluate acquisition opportunities. We developed a custom scoring tool that combined property attributes, market data, renovation assumptions, rental potential, and risk factors into a repeatable investment review process.

The client needed more than dashboards. They needed trustworthy definitions, repeatable pipelines, and reporting that could support operating decisions. We rebuilt the analytics foundation around clean inputs and leadership-ready outputs. The work produced a more durable system with clearer ownership, cleaner measurement, and a better path from activity to outcomes.

This business needed more qualified demand without pouring budget into broad, low-intent searches. We rebuilt the account around intent tiers, tighter conversion tracking, disciplined search-term cleanup, and landing-page alignment so spend moved toward the customers most likely to convert. The work produced a more durable system with measurable impact, including 7.5X ROAS.

A logistics company relied on manual quote intake, spreadsheet calculations, and email follow-up. We built a custom workflow that captured quote details, standardized pricing inputs, generated internal review summaries, and created CRM tasks automatically.

The client needed more than dashboards. They needed trustworthy definitions, repeatable pipelines, and reporting that could support operating decisions. We rebuilt the analytics foundation around clean inputs and leadership-ready outputs. The work produced a more durable system with measurable impact, including increased blog reads by 437%.

The client needed a steadier acquisition engine, not a campaign that only looked good on surface-level traffic. We tightened targeting, cleaned up conversion measurement, and shifted budget toward the searches and audiences most connected to revenue. The work produced a more durable system with measurable impact, including generated 7.9X ROAS.

A seed-stage fintech startup needed a working analytics dashboard to demo to investors and onboard early customers. We designed and built the full-stack MVP — React frontend, Node backend, PostgreSQL database — with real-time data ingestion from their API partners. The product launched on schedule and supported their Series A raise.

A growing real estate brokerage had no centralized view of agent activity, deal pipeline, or commission forecasting across locations. We built a unified dashboard connecting MLS feeds, CRM data, and transaction records so leadership could benchmark performance, forecast revenue, and identify coaching opportunities without chasing spreadsheets.

Growth was being limited by scattered campaign structure and unclear lead quality. We rebuilt the paid search foundation around buyer intent, cleaner tracking, stronger negative keyword controls, and a more practical optimization rhythm. The work produced a more durable system with measurable impact, including 7.1X ROAS.

A multi-location dealership group was holding aging inventory too long on some lots while running short on high-demand models at others. We built a demand forecasting model using historical sales data, regional search trends, and seasonal patterns to optimize allocation across locations and reduce days-on-lot for slow movers.

The organization needed paid media to behave like a revenue channel, not just a visibility channel. We focused on high-intent queries, better local or product-level segmentation, and reporting that made performance easier to manage week to week. The work produced a more durable system with measurable impact, including 5.5X ROAS.

A venture-backed DTC wellness startup was scaling ad spend but had no reliable attribution or LTV modeling. We built their analytics foundation — event tracking, multi-touch attribution, cohort analysis, and a customer LTV model — so the founding team could make data-backed decisions on channel allocation and retention strategy.

This business needed more qualified demand without pouring budget into broad, low-intent searches. We rebuilt the account around intent tiers, tighter conversion tracking, disciplined search-term cleanup, and landing-page alignment so spend moved toward the customers most likely to convert. The work produced a more durable system with measurable impact, including 19.9X ROAS.

The account had room to grow, but only if performance could stay accountable. We restructured campaigns around commercial intent, improved the match between keywords and offers, and used ongoing optimization to separate useful demand from wasted clicks. The work produced a more durable system with measurable impact, including 5.9X ROAS.

The client needed a steadier acquisition engine, not a campaign that only looked good on surface-level traffic. We tightened targeting, cleaned up conversion measurement, and shifted budget toward the searches and audiences most connected to revenue. The work produced a more durable system with measurable impact, including 8.2X ROAS.

Growth was being limited by scattered campaign structure and unclear lead quality. We rebuilt the paid search foundation around buyer intent, cleaner tracking, stronger negative keyword controls, and a more practical optimization rhythm. The work produced a more durable system with measurable impact, reducing cost per new customer acquisition by 63%.

The organization needed paid media to behave like a revenue channel, not just a visibility channel. We focused on high-intent queries, better local or product-level segmentation, and reporting that made performance easier to manage week to week. The work produced a more durable system with measurable impact, including 6.8X ROAS.

This business needed more qualified demand without pouring budget into broad, low-intent searches. We rebuilt the account around intent tiers, tighter conversion tracking, disciplined search-term cleanup, and landing-page alignment so spend moved toward the customers most likely to convert. The work produced a more durable system with measurable impact, including 4.5X ROAS.

The account had room to grow, but only if performance could stay accountable. We restructured campaigns around commercial intent, improved the match between keywords and offers, and used ongoing optimization to separate useful demand from wasted clicks. The work produced a more durable system with measurable impact, including 19.7X ROAS.

The client needed a steadier acquisition engine, not a campaign that only looked good on surface-level traffic. We tightened targeting, cleaned up conversion measurement, and shifted budget toward the searches and audiences most connected to revenue. The work produced a more durable system with measurable impact, including 63.5X ROAS.

Growth was being limited by scattered campaign structure and unclear lead quality. We rebuilt the paid search foundation around buyer intent, cleaner tracking, stronger negative keyword controls, and a more practical optimization rhythm. The work produced a more durable system with measurable impact, including 58.9X ROAS.

The organization needed paid media to behave like a revenue channel, not just a visibility channel. We focused on high-intent queries, better local or product-level segmentation, and reporting that made performance easier to manage week to week. The work produced a more durable system with measurable impact, including cost per lead of less than 50 cents.

This business needed more qualified demand without pouring budget into broad, low-intent searches. We rebuilt the account around intent tiers, tighter conversion tracking, disciplined search-term cleanup, and landing-page alignment so spend moved toward the customers most likely to convert. The work produced a more durable system with measurable impact, including 10.8X ROAS.

The account had room to grow, but only if performance could stay accountable. We restructured campaigns around commercial intent, improved the match between keywords and offers, and used ongoing optimization to separate useful demand from wasted clicks. The work produced a more durable system with measurable impact, including 9.9X ROAS.

Growth was being limited by scattered campaign structure and unclear lead quality. We rebuilt the paid search foundation around buyer intent, cleaner tracking, stronger negative keyword controls, and a more practical optimization rhythm. The work produced a more durable system with measurable impact, including 7.7X ROAS.

The organization needed paid media to behave like a revenue channel, not just a visibility channel. We focused on high-intent queries, better local or product-level segmentation, and reporting that made performance easier to manage week to week. The work produced a more durable system with measurable impact, including 12.9X ROAS.

This business needed more qualified demand without pouring budget into broad, low-intent searches. We rebuilt the account around intent tiers, tighter conversion tracking, disciplined search-term cleanup, and landing-page alignment so spend moved toward the customers most likely to convert. The work produced a more durable system with measurable impact, reducing cost per new lead by 83% and cost per new volunteer inquiry by 74%.

The client needed a steadier acquisition engine, not a campaign that only looked good on surface-level traffic. We tightened targeting, cleaned up conversion measurement, and shifted budget toward the searches and audiences most connected to revenue. The work produced a more durable system with measurable impact, including 4.9X ROAS.

Growth was being limited by scattered campaign structure and unclear lead quality. We rebuilt the paid search foundation around buyer intent, cleaner tracking, stronger negative keyword controls, and a more practical optimization rhythm. The work produced a more durable system with measurable impact, including 9.5X ROAS.

The organization needed paid media to behave like a revenue channel, not just a visibility channel. We focused on high-intent queries, better local or product-level segmentation, and reporting that made performance easier to manage week to week. The work produced a more durable system with measurable impact, including 6.9X ROAS.

This business needed more qualified demand without pouring budget into broad, low-intent searches. We rebuilt the account around intent tiers, tighter conversion tracking, disciplined search-term cleanup, and landing-page alignment so spend moved toward the customers most likely to convert. The work produced a more durable system with measurable impact, reducing cost per new lead by 61%.

The account had room to grow, but only if performance could stay accountable. We restructured campaigns around commercial intent, improved the match between keywords and offers, and used ongoing optimization to separate useful demand from wasted clicks. The work produced a more durable system with measurable impact, including 7.0X ROAS.

The client needed a steadier acquisition engine, not a campaign that only looked good on surface-level traffic. We tightened targeting, cleaned up conversion measurement, and shifted budget toward the searches and audiences most connected to revenue. The work produced a more durable system with measurable impact, including 10.1X ROAS.

Growth was being limited by scattered campaign structure and unclear lead quality. We rebuilt the paid search foundation around buyer intent, cleaner tracking, stronger negative keyword controls, and a more practical optimization rhythm. The work produced a more durable system with measurable impact, including 7.7X ROAS.

The organization needed paid media to behave like a revenue channel, not just a visibility channel. We focused on high-intent queries, better local or product-level segmentation, and reporting that made performance easier to manage week to week. The work produced a more durable system with measurable impact, including 10.9X ROAS; helped them grow from 2 locations to 5.

This business needed more qualified demand without pouring budget into broad, low-intent searches. We rebuilt the account around intent tiers, tighter conversion tracking, disciplined search-term cleanup, and landing-page alignment so spend moved toward the customers most likely to convert. The work produced a more durable system with measurable impact, including 39.5X ROAS.

The account had room to grow, but only if performance could stay accountable. We restructured campaigns around commercial intent, improved the match between keywords and offers, and used ongoing optimization to separate useful demand from wasted clicks. The work produced a more durable system with measurable impact, including 6.5X ROAS.

The client needed a steadier acquisition engine, not a campaign that only looked good on surface-level traffic. We tightened targeting, cleaned up conversion measurement, and shifted budget toward the searches and audiences most connected to revenue. The work produced a more durable system with measurable impact, increasing total membership by 19%.

Growth was being limited by scattered campaign structure and unclear lead quality. We rebuilt the paid search foundation around buyer intent, cleaner tracking, stronger negative keyword controls, and a more practical optimization rhythm. The work produced a more durable system with measurable impact, including 5.0X ROAS.

The organization needed paid media to behave like a revenue channel, not just a visibility channel. We focused on high-intent queries, better local or product-level segmentation, and reporting that made performance easier to manage week to week. The work produced a more durable system with measurable impact, increasing total visitors by 90%.

This business needed more qualified demand without pouring budget into broad, low-intent searches. We rebuilt the account around intent tiers, tighter conversion tracking, disciplined search-term cleanup, and landing-page alignment so spend moved toward the customers most likely to convert. The work produced a more durable system with measurable impact, including 35.5X ROAS.

The account had room to grow, but only if performance could stay accountable. We restructured campaigns around commercial intent, improved the match between keywords and offers, and used ongoing optimization to separate useful demand from wasted clicks. The work produced a more durable system with measurable impact, including 7.8X ROAS.

The client needed a steadier acquisition engine, not a campaign that only looked good on surface-level traffic. We tightened targeting, cleaned up conversion measurement, and shifted budget toward the searches and audiences most connected to revenue. The work produced a more durable system with measurable impact, including 7.7X ROAS.

The organization needed paid media to behave like a revenue channel, not just a visibility channel. We focused on high-intent queries, better local or product-level segmentation, and reporting that made performance easier to manage week to week. The work produced a more durable system with measurable impact, including 6.8X ROAS.

This business needed more qualified demand without pouring budget into broad, low-intent searches. We rebuilt the account around intent tiers, tighter conversion tracking, disciplined search-term cleanup, and landing-page alignment so spend moved toward the customers most likely to convert. The work produced a more durable system with measurable impact, including 7.5X ROAS.

The account had room to grow, but only if performance could stay accountable. We restructured campaigns around commercial intent, improved the match between keywords and offers, and used ongoing optimization to separate useful demand from wasted clicks. The work produced a more durable system with measurable impact, including 5.9X ROAS.

The client needed a steadier acquisition engine, not a campaign that only looked good on surface-level traffic. We tightened targeting, cleaned up conversion measurement, and shifted budget toward the searches and audiences most connected to revenue. The work produced a more durable system with measurable impact, including 9.5X ROAS.

The organization needed paid media to behave like a revenue channel, not just a visibility channel. We focused on high-intent queries, better local or product-level segmentation, and reporting that made performance easier to manage week to week. The work produced a more durable system with measurable impact, including 8.1X ROAS.

This business needed more qualified demand without pouring budget into broad, low-intent searches. We rebuilt the account around intent tiers, tighter conversion tracking, disciplined search-term cleanup, and landing-page alignment so spend moved toward the customers most likely to convert. The work produced a more durable system with measurable impact, including 6.0X ROAS.

The account had room to grow, but only if performance could stay accountable. We restructured campaigns around commercial intent, improved the match between keywords and offers, and used ongoing optimization to separate useful demand from wasted clicks. The work produced a more durable system with measurable impact, including 6.3X ROAS.

The client needed a steadier acquisition engine, not a campaign that only looked good on surface-level traffic. We tightened targeting, cleaned up conversion measurement, and shifted budget toward the searches and audiences most connected to revenue. The work produced a more durable system with measurable impact, including 7.8X ROAS.

The firm needed a reliable pipeline of qualified tenant and buyer leads without relying solely on broker referrals. We restructured their Google Ads around high-intent commercial property searches, improved landing page conversion paths, and built attribution reporting tied to signed leases. The work produced a more durable system with measurable impact.

The firm was spending heavily on paid search but had no reliable way to connect ad spend to signed cases. We rebuilt the campaign structure around case-type intent tiers, implemented offline conversion tracking tied to their case management system, and optimized bidding toward the highest-value case categories. The work produced a more durable system with measurable impact.