The client is a mid-market automotive digital marketing agency serving dealer groups, independent agencies, and the media channel partners that resell its products under their own brands. The world of automotive software is largely fragmented: automotive CRMs such as VinSolutions and DriveCentric, dealer management systems such as Reynolds and Reynolds and CDK Global, customer data platforms bolted on for enrichment, and usually a legacy marketing and adtech stack sitting off to the side. The business had grown on traditional digital marketing services and was channel-reliant. Their goal was to reach more end customers directly and give its channel partners differentiated products worth white-labeling.
Fourier Partners was engaged to answer one question before anything else, whether to retrofit the existing stack or rebuild it. Fifteen years of accumulated technical debt, set against what modern data and AI infrastructure now makes possible, made the case for rebuilding, and the mandate followed from it. The agency would replace its fragmented stack with a single intelligent platform, data first and products on top, and move from digital marketing services to a digital platform company. Within that mandate, Fourier built and owns the Media Engine and Attribution, co-developed Competitive Intelligence and the data enrichment layer with the client’s team, and advised the client’s engineers as they built the contact center, so the capability stays in-house. The platform underneath ties it all together, one enriched data foundation that partners can white-label and that AI agents keep improving. To make sure the agency could sell and run what it now owned, we trained the organization on AI and built out its go-to-market on HubSpot, from sales and operations to onboarding.
Disconnected dealer systems, ready to become
one intelligent platform
The same stack everywhere, fragmented everywhere
Every dealer group and agency ran a version of the same tools: a CRM, a DMS, a CDP, and a marketing/adtech vendor on the side. Each worked questionably on its own and none of them worked together. The opportunity was not another tool. It was the connective layer the whole market was missing.
Demand-side platforms (DSPs) that were never built for automotive
Dealers who partnered with the large DSPs got reporting in CPM (cost per mille) and CPC (cost per click), despite having articulated their goals in vehicle detail page views, calls, and de-anonymized customers. Domain language and domain expertise, not media buying, were the gap an automotive-specific platform could own.
Tracking that ignored the industry standard
Automotive Standards Council (ASC) key events define how dealer websites should be tracked and reported. Most stacks did not emit them, so campaigns could not be compared across vendors or benchmarked properly. Instrumenting to the standard makes every downstream number trustworthy.
No attribution to show where campaigns actually perform
Without a line from spend to outcome, dealers could not prove return on ad spend (ROAS), automate retargeting, or weigh spend against the inventory it was meant to move. Standard analytics tags cannot close that gap; custom pixel tracking that follows a shopper from ad to form fill to showroom can. Attribution was the module that would make the others accountable.
Anonymous traffic, unknown audiences, no retargeting
Dealer websites drew shoppers who browsed, compared, and left without a name. With no means of identifying individuals or high-intent audiences (an identity graph), there was no way to resolve that traffic, prioritize high-intent visitors, or understand which audiences the marketing was actually bringing in.
Leads with nowhere to go
Campaigns generated leads and some were deanonymized, but nothing enabled the next step: reaching those people through communications, other media channels, or the contact center. A form fill sat in the CRM, a missed call was never followed up, a high-intent visitor was never retargeted. Activation was the missing link between a campaign and a customer.
Data first, products second, agents third
Strategy & AI Training
Settled retrofit or rebuild in favor of rebuild: fifteen years of technical debt against what new technology makes possible. Then set the platform strategy with leadership, one data foundation, four modules, a three-month MVP, while training the organization on AI, starting with Gemini.
Data & Architecture
Designed the architecture the market was missing: CRM, DMS, CDP, and marketing data merged into one model, an identity graph built on top, and everything exposed API-first and headless so partner agencies, dealer groups, and media channels can white-label the same services.
Products
Built four modules on the enrichment layer with a deliberate ownership split. Fourier built and owns the Media Engine and Attribution; Competitive Intelligence and enrichment were co-developed; the client’s engineers built CCaaS with Fourier advising. The agency owns capability, not a dependency.
AI Agents & Workflow Automation
With products and workflows defined, introduced agents to automate, track, and improve them. Each agency, dealer group, and media channel gets an AI agent that raises notifications, surfaces insights, and recommends the next action, with a person approving at every gate.
GTM, Operations, and Scale
Enabled the business to sell what it built: go-to-market strategy, bundled offerings, HubSpot implementation and integration, sales training, sales operations and reporting, competitor comparisons, solution engineering, and faster onboarding. We remain embedded as an ongoing partner.
One platform, four modules, one enrichment layer.
- White-label portal
- Campaign creation & execution
- Reporting
- Audience & workflow builder
- AI agents
- Competitive dashboards
- Contact center console
& Integrations
MARKETCHECKMedia Engine
Turns a dealer’s enriched inventory into campaigns across Google Search, Display, and Meta Automotive Inventory Ads (AIA): AI-selected imagery, keywords, body-style segments, audiences, targeting, pricing suggestions, and channel selection, refreshed as inventory turns.
CCaaS (Contact Center)
Contact center as a service: resolved leads and high-intent audiences flow into automated email, text, and calling journeys with AI-scripted outreach, and every conversation writes back to the customer record.
Competitive Intelligence
A market-level view built from the same enriched listing data: competitor inventory, pricing, and days on market by segment, so dealers price and position against their local market instead of guessing.
Attribution
A first-party pixel and telemetry layer that captures what standard analytics cannot, scores intent, resolves visitors to people, and matches outcomes back to dealer records. Reporting speaks dealer: VDP views, calls, visits, assisted sales.
Data Enrichment
The layer every module reads from and writes back to. Competitive enrichment turns thin dealer feeds into advertisable vehicles or services with market context; identity resolution turns anonymous sessions into resolved customers; intent scoring and audience creation turn both into the segments the Media Engine targets, CCaaS contacts, Competitive Intelligence benchmarks, and Attribution measures. It gets richer with every campaign run.
One person, one record, growing with every interaction.
The enrichment layer is organized as a knowledge graph with the person at the center. A visitor arrives anonymous; a form fill, a call, or a match against dealer records resolves them, and from there every interaction attaches to the same node: the vehicles they viewed, the time they spent, the calls they made, the car they bought, the service visits since. The graph morphs as the customer does, so targeting, personas, and attribution all execute against the richest record that exists, not the one captured on the first visit.
From identity graph to automated deploy.
With the graph in place, campaign creation becomes a workflow rather than a project: audiences are targeted from resolved records, shaped into personas, funded against inventory, matched to tactics, and deployed by agents, with a person approving before anything goes live.
Identity graph
Resolved people with enriched records: identity, behavior, transactions, engagement.
Targeting
High-intent segments from scores and signals, refreshed as the graph grows.
Persona creation
Segments shaped into personas with creative direction and offers.
Budget
Spend allocated by inventory, market position, and expected return.
Tactics
Channels, formats, and journeys chosen per persona: search, social, CCaaS.
Automated deploy
Campaign runs pushed to Google, Meta, and the contact center. People approve, agents execute.
One intelligent platform in place of a fragmented stack, four modules its partners can white-label, and a business that now sells software and outcomes.