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    MarTech & Attribution

    MarTech Stack & Attribution

    You cannot optimize what you cannot measure, and most mid-market companies are measuring the wrong thing confidently.

    The Problem This Solves

    Six tools, four sources of truth, and a monthly report that nobody fully believes. Meanwhile budget decisions worth hundreds of thousands of dollars are made on last-click data that systematically overcredits the cheapest channel.

    Typical Engagement

    Delivered inside a Core Marketing CMO retainer, or scoped as a standalone project.

    See pricing

    A marketing technology stack exists for exactly one reason: to make the next budget decision correct. Everything else — the integrations, the dashboards, the automation — is in service of knowing what actually produced revenue.

    What’s Included

    Six things that actually change.

    01

    Stack audit and rationalization

    What each tool is genuinely doing, what overlaps, and what can be cut.

    02

    CRM and lifecycle architecture

    Stage definitions, field hygiene, and source attribution built to survive real usage.

    03

    Tracking implementation direction

    GA4, server-side tagging, enhanced and offline conversions, and consent-mode compliance.

    04

    Attribution model selection

    A model matched to your sales cycle and channel mix — not whichever one the tool defaults to.

    05

    Executive dashboard build

    One view showing spend, pipeline, CAC, and LTV that the CEO can read unaided.

    06

    Data governance

    Naming conventions and UTM standards so the data stays clean after I leave.

    Engagement Shape

    How it runs.

    Phases overlap in practice, but this is the shape of the work and roughly when each part lands.

    What You Should Expect
    • One source of truth every department reads the same way
    • Budget shifted toward channels that are genuinely incremental
    • Software spend reduced by cutting overlapping tools
    • Reporting the board trusts without a verbal explanation
    PhaseDeliverable
    AuditTool inventory, data flow map, tracking accuracy test, and cost review
    DesignTarget stack architecture, integration plan, and attribution model spec
    ImplementationDirection of your ops team or implementation partner through the build
    ReportingExecutive dashboard and a monthly reporting cadence that stands up to scrutiny
    Answers

    Questions about martech & attribution

    HubSpot, Salesforce, Klaviyo, Braze, Google Analytics 4, Google Tag Manager, Segment, and the major ad platform integrations. The specific tool matters less than whether the architecture underneath it is sound.

    I specify and direct it. Implementation is executed by your marketing ops team, your developers, or an implementation partner. I write the specification, review the build, and validate the data before anyone makes decisions on it.

    It depends on sales cycle length and channel mix. Short-cycle DTC can often run data-driven attribution effectively. Long-cycle B2B usually needs multi-touch attribution paired with incrementality testing, because no click-based model handles a nine-month buying committee well.

    In most audits I find 15 to 30 percent of tooling spend going to overlapping features or seats nobody uses. That said, cutting cost is a side effect — the real return is making the next budget decision correctly.

    Related

    Works alongside

    Next Step

    Find out what your marketing is actually costing you.

    Every engagement starts the same way: a straight conversation about your growth plateau, your current spend, and whether a fractional CMO is genuinely the right answer for you. If it isn’t, I’ll say so.

    Free 30-minute call · No pitch deck · Direct answer either way