Professional Services Marketing & Creative Agencies Digital & Performance Marketing

Digital Marketing

New business and client engagements where creative vision, strategy alignment, and multi-stakeholder approval determine outcomes.

Wpromote Merkle Razorfish iCrossing
Inside this journey
  1. Pre-Discovery

    Align the room on outcomes, decision process, and constraints before deeper discovery.

    1. Stakeholder Alignment

      Confirm decision roles, timeline, measurable goals, required approvals, and RevOps responsibilities for lead follow-up.

      Alignment Questions

      Quick Snapshot: Where Things Stand Today

      • To get started, what is your role and primary responsibility for pipeline growth? Options: VP Marketing, Head of Demand Gen, CMO, Growth Lead, Revenue Operations, Other
      • Which channels currently drive the majority of your leads? Options: Paid Search (Google/Bing), Paid Social (LinkedIn/Facebook/X/TikTok), Organic Search (SEO), Email/Nurture, Programmatic/Display, Events/Webinars, Partners/Referrals, Other
      • Roughly how many full-time people own digital acquisition day-to-day? Options: 1–2, 3–5, 6–10, 11–20, 20+
      • What monthly digital ad budget range are you working with today? Options: <$10k, $10k–$50k, $50k–$150k, $150k–$500k, $500k+
      • When you look at pipeline performance this quarter, what’s the single thing you most wish changed?
      • Which CRM and primary analytics tools are live in your stack today? Options: Salesforce, HubSpot, Microsoft Dynamics, Pardot/Marketing Cloud, GA4, Looker/Looker Studio, Mixpanel/Amplitude, Other

      If Your CEO Asked for More Pipeline Tomorrow, What Would You Say?

      • How urgent is the mandate to grow digital pipeline—what happens if targets aren’t hit next quarter? Options: Immediate risk (restructuring/pressure), High priority but manageable, Medium priority, Low priority
      • Where do you feel the most pressure—volume of leads, quality of leads, conversion to pipeline, or defending budget? Options: Lead volume, Lead quality, Sales conversion to pipeline, Measuring ROI / defending budget, Other
      • Tell me about a recent quarter where digital under-delivered—what specifically fell short and why do you think it happened?
      • Which outcomes would reduce that pressure fastest—more MQLs, higher SQL rate, faster sales follow-up, or clearer attribution? Options: More MQLs, Higher SQL rate, Faster sales follow-up, Clearer attribution, Higher average deal size
      • How would missing these targets affect your ability to secure marketing budgets for the rest of the year? Options: Significantly reduce budget, Delay or conditional budget, Limited impact, No impact / unsure

      Who Really Decides (and Who Ghosts the Process)?

      • Where decisions break down today—who signs off on strategy, budget, and attribution and who often doesn’t show up? Options: CEO/Founder, VP Marketing/CMO, Head of Demand Gen, Head of RevOps, Sales leader/CSO, Finance/FP&A, Other
      • Which approvals are required before we can change tracking, access CRM, or run A/B tests? Options: Legal/Privacy, IT/Security, RevOps/CRM Admin, Finance, Sales Leadership, None / quick sign-off
      • How clearly are roles defined for lead ownership—who is responsible for lead routing, qualification, and SLA adherence? Options: Clearly defined and followed, Defined but inconsistently followed, Vague responsibilities, No formal lead ownership
      • Describe the cadence and nature of handoffs between marketing and sales when new leads arrive—are there missed steps or expectations?
      • What would help most to fix breakdowns—faster SLAs, better lead-scoring, shared dashboards, or joint playbooks? Options: Faster SLAs, Improved lead scoring, Shared dashboards, Joint playbooks and training, Other

      Where Your Data Lets You Down

      • How confident would you be defending your digital budget with current attribution and reporting in a board meeting? Options: Very confident, Somewhat confident, Unsure, Not confident at all
      • What parts of your data flow feel most fragile—tracking, CRM hygiene, platform-level attribution, or cross-channel measurement? Options: Tracking (tags/events), CRM hygiene / dedup, Platform attribution (ad platforms), Cross-channel dedup/attribution, Data warehouse / connectors, Other
      • Where have you identified gaps or blind spots—paid vs. organic, multi-touch paths, offline conversion, or partner-sourced leads? Options: Multi-touch paths, Paid vs organic, Offline conversions, Partner/referral sourcing, Attribution for account-based journeys, Other
      • Can you describe a specific example where your analytics told a different story than your platforms (e.g., CRM vs GA4 vs ad platforms)?
      • Which data access constraints would slow initial work—no CRM API access, blocked ad accounts, or limited analytics permissions? Options: No CRM API access, Limited analytics permissions, Blocked ad accounts, Legal/privacy constraints, None of the above

      What Success Would Actually Look Like — Not Vanity Metrics

      • If revenue were the only KPI that mattered, how would your acquisition strategy change this quarter?
      • What are your concrete pipeline and revenue targets for the next 6–12 months? Options: % increase in pipeline, Targeted number of SQLs, New revenue $ amount, ARR or MRR target, Prefer not to share here
      • Which success signals would convince you our work is on track—lead-to-opportunity rate, pipeline velocity, CAC:LTV, or closed-won attribution? Options: Lead-to-opportunity rate, Pipeline velocity, CAC : LTV, Closed-won attribution to channels, Increase in average deal size
      • What budget constraints or reallocation rules would limit execution (e.g., 30-day spend caps, testing-only dollars, or campaign freeze windows)? Options: 30-day spend caps, Testing-only budget, Quarterly freeze windows, No constraints, Other
      • How important is it that any agency is measured and paid against revenue or pipeline outcomes rather than impressions/clicks? Options: Essential, Preferred but flexible, Neutral, Not required

      What's Been Tried — And What's Still Taboo

      • What failed attempts or frustrating agency experiences do you still think about—and why did they leave a bad taste?
      • Which agency behaviors have eroded trust—overpromising, opaque reporting, frequent team changes, or pushing higher fees? Options: Overpromising results, Opaque reporting, Frequent team changes, Recommendation conflicts (fee-driven), Slow execution
      • What technical changes have you avoided because they felt risky—switching attribution models, server-side tracking, or giving vendor API access? Options: Switching attribution models, Server-side tracking, Granting vendor API access, Changing lead routing, None / open to all
      • Which proof points (case studies, data models, references) would most reduce your hesitation to try a new partner? Options: Verified revenue case studies, Detailed attribution methodology, RevOps and analytics references, Team bios/seniority, Pilot results
      • How do you prefer to validate an agency—short pilot, guaranteed KPIs, or extended reference checks? Options: Short pilot (4–8 weeks), Guaranteed KPIs, Extended references / onsite reviews, Combination

      Imagine This Is Fixed — How Would Day One Feel?

      • If attribution, pipelines, and execution were aligned tomorrow, what would your first-week wins look like?
      • Who on your team would be most excited and who would be most skeptical about that change? Options: Marketing leadership, Demand Gen team, RevOps, Sales leadership, Finance, Other
      • What reporting cadence and format would make you feel comfortable—daily dashboards, weekly highlights, or monthly strategic reviews? Options: Daily dashboards, Weekly highlights, Monthly strategic reviews, Ad-hoc deep dives
      • What SLAs or response times would you want for lead handoff and campaign adjustments (e.g., 1 hour, 24 hours, 3 days)? Options: 1 hour, 4 hours, 24 hours, 48–72 hours, Other
      • Who needs read-only access versus edit access to dashboards and ad platforms for alignment? Options: Marketing leadership (edit), Demand Gen team (edit), Sales (read-only), RevOps (edit), Finance (read-only), Other

      Small Tests, Big Proof: What's a Minimal First Win?

      • What’s the smallest, fastest test you’d accept to prove we can move meaningful pipeline—1 channel audit, a tracking fix, or a pilot campaign? Options: Channel audit, Attribution tracking fix, Pilot campaign (one channel), Landing page experiment, Lead routing + SLA test
      • How soon can you provide the access we’d need for a pilot (CRM, ad accounts, GA4, staging site)? Options: Immediately, Within 1 week, 2–4 weeks, Longer / need approvals
      • Which success criteria would make the pilot a clear pass—X% lift in SQL rate, measurable revenue influenced, or validated attribution model? Options: X% lift in SQL rate, Measured revenue influenced, Validated multi-touch attribution, Faster sales follow-up / SLA adherence
      • What internal barriers might slow a pilot—procurement, legal/privacy review, or sales buy-in? Options: Procurement, Legal / privacy, Sales buy-in, IT / security, None
      • If we proposed a 6–8 week discovery + pilot, who would we need to involve and what would success look like to them?
    2. Current State Mapping

      Document channels, tech stack, prior in-house attempts, attribution blind spots, and data availability to surface gaps and risks.

      Current State

      Quick Intro: Where We Start

      • Who on your team currently owns channel strategy, analytics, and attribution? Options: VP Marketing, Head of Demand Gen, RevOps/Director of Ops, In-house Data/Analytics Lead, External Agency, No clear owner / rotating
      • Which single business metric are you under the most pressure to improve this quarter? Options: Pipeline value, SQL volume, Conversion rate, Customer acquisition cost (CAC), Return on ad spend (ROAS), Other
      • In one sentence, what about your current measurement or channel mix keeps you up at night?
      • How confident are you that your current reporting ties marketing spend to revenue in a way you can defend at the executive level? Options: Completely confident, Mostly confident with caveats, Not confident — gaps exist, We currently cannot tie spend to revenue
      • Which stakeholders need to sign off on a change to attribution or data-sharing (name roles)?

      The Map of Your Current Tech & Channels

      • Which parts of your tech stack are failing to speak to each other when it matters? Options: Ad platforms ↔ CRM, Analytics ↔ Data Warehouse, Landing pages ↔ Analytics, Marketing automation ↔ CRM, CDP ↔ Ad platforms, None / unclear
      • Which channels are you actively investing in today? Options: Paid Search (Search Ads), Paid Social (Meta, LinkedIn, X), Programmatic Display/CTV, Email/Marketing Automation, Organic Search (SEO), Affiliate/Partners, Other
      • List the main tools and platforms in your stack (analytics, CRM, ad accounts, CDP, tag manager, warehouse).
      • How are touchpoints currently stitched—do you use a unified ID, email-only matching, session-based joins, or something else? Options: Unified customer ID across systems, Email-based stitching only, Session / cookie joins, Probabilistic matching, Not stitched / inconsistent
      • How long is data retained in your analytics and warehouse (select closest)? Options: Less than 3 months, 3–12 months, 1–3 years, Indefinitely, Unsure

      Where Things Break When Pressure Comes

      • When quarterly targets are missed, which report or channel do you instinctively blame—and why might that reflex be misleading? Options: Paid search, Paid social, Programmatic, Email / automation, Landing pages / CRO, Other
      • How often do you see conflicting performance signals between platforms (e.g., platform-reported conversions vs CRM)? Options: Weekly, Monthly, Quarterly, Rarely, Never/Unsure
      • Give a recent example where attribution or reporting disagreement changed a budget or campaign decision—and what the downstream impact was.
      • What SLA exists for marketing lead handoff and sales follow-up (time to contact)? Options: < 1 hour, 1–4 hours, 4–24 hours, 24–72 hours, >72 hours / none
      • How does your team feel when review meetings surface conflicting numbers—frustrated, defensive, confused, or pragmatic? Options: Frustrated, Defensive, Confused, Pragmatic / solution-oriented, Other

      What You've Tried and Why It Didn't Stick

      • Which past in-house attempts at fixing measurement feel like they treated symptoms, not the root cause? Options: Re-tagging site without infra changes, Ad-hoc spreadsheet joins, Short-term attribution tweaks, Hiring a single analyst without process changes, Switching agencies without data access
      • Which agency or internal fixes have produced the clearest, verifiable lift for you (describe the project and result)?
      • What was the primary reason those attempts failed to scale or become permanent? Options: Lack of cross-team ownership, Insufficient access to CRM/data, Too focused on clicks/vanity metrics, Poor documentation / knowledge transfer, Budget or hiring constraints, Other
      • How much time and budget (approximate) has been spent on measurement fixes in the last 12 months? Options: < $25k / < 3 months, $25k–$100k / 3–6 months, $100k–$300k / 6–12 months, >$300k / multi-year, Unsure
      • If a fix required sales or RevOps changes, how open were those teams to adopting new workflows historically? Options: Very open, Somewhat open, Resistant, Not engaged

      The Blind Spots Nobody Talks About

      • Which attribution blind spot would be most damaging if exposed in a board or CEO review? Options: Offline / phone conversions not attributed, Cross-device journeys ignored, View-through / assisted conversions missing, CRM duplicates / mismatched records, Last-touch bias overstating channels, Other
      • Which of these blind spots exist in your current setup (select all that apply)? Options: Cross-device linking, Server-side tracking, Offline conversion import, Ad platform click measurement mismatch, Duplicate/incorrect CRM records, None / unsure
      • Can you estimate the monthly pipeline or revenue potentially affected by those blind spots (ballpark)? Options: < $10k, $10k–$50k, $50k–$250k, $250k–$1M, >$1M, Unsure
      • Tell us about one case where a blind spot led to a wrong decision—what changed when it was discovered?
      • How does your leadership typically react to measurement uncertainty—do they pause budgets, demand immediate fixes, or accept some ambiguity? Options: Pause budgets, Demand immediate fixes, Reallocate cautiously, Accept ambiguity for now, Other

      Data: What You Can Really Trust

      • If you had to bet the business on a single data source as the truth today, which would you pick and why? Options: CRM (opportunities/won revenue), Analytics platform (sessions/events), Ad platform conversions, Data warehouse (aggregated joins), CDP/first-party identity, None are trustworthy
      • How complete is the CRM data for marketing-sourced leads—are key fields consistently populated (email, lead source, campaign, MQL reason)? Options: Nearly complete, Mostly complete with gaps, Patchy / inconsistent, Rarely populated, Unsure
      • What percentage of leads can you currently match to an identifiable marketing touch (approx)? Options: > 90%, 70–90%, 50–70%, 25–50%, < 25%, Unsure
      • Which data access constraints would block a proper end-to-end attribution audit? Options: No CRM access, No ad platform access, No raw analytics or event logs, GDPR/consent limitations, No staging environment, None of the above / full access
      • How quickly could you provide the minimum data set we typically need (ad accounts, CRM exports, GA/Analytics, server logs)? Options: < 1 week, 1–2 weeks, 2–4 weeks, > 4 weeks, Not possible currently

      If We Built the Ideal Measurement Map

      • Imagine every channel, landing page, and your CRM reported the same customer journey—what decisions would you make differently next quarter?
      • Which three KPIs would you prioritize if measurement was fully reliable (choose up to three)? Options: Pipeline sourced, MQL → SQL conversion, Cost per pipeline, LTV : CAC, Win rate by channel, Multi-touch influence value
      • What minimum improvement in pipeline or CAC would justify investing in a full attribution rebuild for your team? Options: 5–10%, 10–20%, 20–50%, >50%, Not sure / depends on timeframe
      • How quickly would you expect to see measurable impact after an attribution and data-infra overhaul? Options: 4–8 weeks, 2–3 months, 3–6 months, 6+ months
      • Who would need to be involved internally to operationalize and sustain the new measurement (list roles)?

      Deciding Together: Risks, Owners, and Next Steps

      • What would make you say 'not now' even if the projected ROI looked strong? Options: No budget this fiscal year, Leadership not convinced, Sales process not aligned, Data privacy/legal constraints, Too many competing priorities, Other
      • Which approvals are required to grant full access to ad accounts and CRM for an audit or pilot? Options: CRO / Head of Sales, VP Marketing / CMO, Head of RevOps, Legal / Privacy, CFO, No approvals / self-service
      • Who should be the day-to-day owner on your side for a pilot (name/role)?
      • What are the non-negotiable constraints we should plan around (budget cap, data residency, minimum SLA, preferred vendors)?
      • If we proposed a risk-minimized pilot, what would be the ideal next step and timing to move forward? Options: Start pilot immediately (<2 weeks), Plan in next month (2–4 weeks), Quarterly planning (1–3 months), Not ready / need internal alignment
  2. Customer Discovery

    Define target pipeline, revenue goals, KPIs, budget constraints, and success signals for the engagement.

    Discovery Questions

    Start Here: Where are you trying to drive revenue?

    • In one sentence, what is the single outcome you must show from digital channels this year?
    • What target pipeline or revenue do you need digital to generate in the next 12 months? Options: <$250K, $250K–$1M, $1M–$5M, $5M–$20M, >$20M, Unsure
    • Which time horizon is highest-priority for hitting the first meaningful milestone? Options: 30 days, 60 days, 90 days, 6 months, 12 months, No firm timeline
    • Which buyer segments or personas must carry most of this pipeline? Options: Enterprise IT/Engineering, CMO/Marketing, Mid-market decision-makers, Procurement/Finance, SMB owners, Direct-to-consumer buyers, Other
    • When you picture success a year from now, what business metric feels most convincing to your CEO? Options: Pipeline $, Closed revenue, CAC reduction, Win rate uplift, LTV:CAC improvement, Other

    What if your attribution is systematically hiding your best-performing channel?

    • Which attribution model do you currently rely on when making budget decisions? Options: Last-click, First-click, Linear, Position-based, Time-decay, Data-driven (algorithmic), No formal model / ad hoc
    • Where do you feel the biggest blind spots exist today (pick all that apply)? Options: Offline/phone conversions, Cross-device tracking, CRM attribution gaps, Email/automation impact, Organic vs paid overlap, Third-party cookie limitations, Other
    • Describe a recent decision that felt wrong in hindsight because the reporting misled you—what happened and what did it cost?
    • How often do attribution or reporting disputes lead to budget cuts or leadership escalation? Options: Monthly, Quarterly, Ad hoc / after campaigns, Rarely, Never

    What’s really been getting in the way of pipeline growth?

    • Why haven't prior internal efforts or agencies produced scalable pipeline—what stopped momentum?
    • Which in-house attempts have you run in the last 18 months? Options: Paid search, Paid social, Programmatic/display, SEO, Email nurture, Landing page/CRO, Marketing automation, Attribution experiments, None
    • Which channels consistently underperform versus expectations and how do you measure that gap today? Options: Search, Social, Display/Programmatic, Email, Organic search, Partner/referral, Not tracking
    • What conversion rates do you see today on key stages (landing page → lead, MQL → SQL)? Please include numbers or ranges.
    • How often do tracking or technical issues (forms, pixels, page speed) materially corrupt campaign measurement? Options: Constantly, Often, Sometimes, Rarely, Never

    Who really owns follow-up and wins the deal?

    • If a high-value lead sits unanswered for 24 hours, whose processes break down—and why?
    • Do you have a documented SLA for lead response and qualification? Options: Yes, enforced with KPIs, Yes, advisory only, No formal SLA, In development
    • What is your typical lead response time today (averages are fine)? Options: <15 minutes, 15–60 minutes, 1–6 hours, 6–24 hours, 24+ hours, Not tracked
    • How does sales indicate lead quality or accept/return leads from marketing (scoring, tags, reasons)? Options: Automated lead scoring, Manual qualification by SDR, Sales often rejects marketing leads, No consistent process, Other
    • What are the top three objections sales raises about marketing-generated leads (be candid)?

    If measurement were fixed, what decisions could you finally make?

    • Which KPIs must move for you to call this engagement a success? Options: Pipeline ($), Closed revenue, Cost per pipeline, LTV:CAC, Win rate, Sales-accepted leads, Other
    • Which dashboard/report would change behavior in your leadership team the fastest? Options: Channel-to-revenue funnel, Attribution-by-touch breakdown, Lead quality by source, Sales acceptance rate by campaign, Real-time ROI dashboard, Other
    • What confidence level in attribution/data would be required for you to reallocate budget based on our recommendations? Options: 95%+, 90–95%, 80–90%, 70–80%, Unsure
    • Are there legal, privacy, or compliance constraints we must design around (GDPR, CCPA, contractual restrictions)? Please list specifics.

    Money isn't the only constraint — what else will slow us down?

    • If the CEO demands rapid results but your team can't grant access, who bears the risk and how do you currently handle that tension?
    • What level of platform access can you commit to providing within 30 days? Options: Full admin (CRM, ad platforms, analytics), Full read + select admin, Read-only, Partial access (ad accounts only), Requires legal/procurement signoff, Cannot provide access
    • Which internal teams and decision-makers must be involved to move forward? Options: Marketing (demand), RevOps/BI, Sales leadership, IT/Engineering, Legal/Privacy, Finance/Procurement, Other
    • What is your typical procurement or contracting timeline for vendor engagements? Options: <2 weeks, 2–4 weeks, 1–2 months, 2–3 months, 3+ months, Unsure
    • Is there an internal budget range already provisioned for this work? If yes, please select the range. Options: <$25K/month, $25K–$50K/month, $50K–$100K/month, $100K–$250K/month, >$250K/month, No budget yet / funding TBD

    What would a 90‑day win look like—and how will we know it's real?

    • If you needed tangible evidence at 90 days to keep the program, what would convince the CEO to fund the next phase?
    • Which of these would you count as a 90‑day success (select all that apply)? Options: Working attribution model validated, Verified pipeline credited to specific channels, Initial campaigns producing qualified leads, Landing pages with measurable conversion uplift, Automations routing leads into sales workflow, Dashboard showing closed-loop revenue
    • What quantitative thresholds define success for early deliverables (e.g., $ pipeline, % conversion lift, lead volume)? Please be specific.
    • Who will formally sign off on acceptance criteria for initial deliverables? Options: VP Marketing, CMO, Head of Demand Gen, RevOps lead, Sales leader, Procurement/Finance
    • If measurement disagrees with sales' view of who closed a deal, how should disputes be escalated and resolved?

    Are you ready to be measured and move fast?

    • Would you prefer to retain comfortable ambiguity or be fully measured and accountable for pipeline and revenue? Options: Fully measured and accountable, Measured with blended metrics (revenue + engagement), Prefer vanity metrics (clicks/impressions), Undecided
    • How willing are you to share closed-loop CRM data and revenue outcomes with an external partner under an NDA? Options: Fully willing, Willing with limitations, Only aggregated data, Not willing
    • What data types would you be unwilling to share (if any)? Options: Closed revenue, Customer lists, PII contact data, Pricing/discounts, None — we can share, Other
    • Who are the required stakeholders for final approval and what is the ideal decision-by date?
    • If we proposed a pilot, which commercial structure would you prefer to test first? Options: Retainer / fixed fee, Revenue-share / performance fee, Blended: retainer + performance bonus, Per-project / fixed milestone, Unsure — need options
  3. Solution Experience

    Use the customer’s context and scenarios to show how integrated analytics, attribution, and channel strategy will drive pipeline and revenue.

    Experience Meetings

    • Solution Experience — Pre‑Work & Current State Confirmation
    • Executive Solution Experience — One‑Page Future State & Value Case
    • Scenario Walkthroughs — Live Data Proofs
    • Measurement & Attribution Methodology Workshop
    • Go/No‑Go & Pilot Commit Workshop
    • Assign owners and SLAs for data access, reporting, and reconciliation.
    • Client executive to confirm pilot budget and sponsor details.
    • Agency to prepare the dataset and dashboards for the Scenario Walkthrough meeting.
    • Session Objectives & One‑Sentence Restatements
    • Demonstrate at least one scenario where attribution and channel changes produce a measurable pipeline uplift using live data.
    • Validate that the proposed solution eliminates the specific problems identified in the current state.
    • Identify technical or operational risks that would block implementation and agree mitigation actions.
    • Agency to run a full attribution simulation on the client's 90‑day dataset and deliver results with recommended channel allocation changes.
    • Client RevOps to confirm lead routing rules and data quality issues surfaced during the walkthrough.
    • Agree owners to remediate any immediate tagging or CRM mapping gaps identified.
    • Recap of Validated Problems and Desired Outcomes
    • Agree on a single attribution methodology and document the rationale tied to outcomes.
    • Finalize an acceptance test checklist with clear pass/fail criteria for data and attribution.
    • Introductions & Meeting Objective
    • Agency to deliver a technical spec covering the chosen attribution model, data mappings, and test scripts.
    • Client to grant required API/access permissions and confirm staging environment details.
    • Both parties to commit to an acceptance test schedule with named owners and dates.
    • Readiness Summary Against Acceptance Checklist
    • Obtain mutual go/no‑go decision to proceed with the pilot and capture required approvals.
    • Ensure all launch readiness items are owned and scheduled, with no unresolved critical blockers.
    • Confirm pilot success criteria and the cadence for measurement and executive updates.
    • Finalize and sign the pilot agreement and produce a project plan with milestones and owners.
    • Agency to provision pilot dashboards and schedule the first measurement review 30 days post‑launch.
    • Client to enable final access and confirm sales/SDR follow‑up SLAs for pilot leads.
    • Produce a single-sentence current state that everyone validates.
    • Quantify at least one measurable consequence (e.g., $ or pipeline leakage) tied to the current state.
    • Confirm required data access and list of missing items to be delivered before the walkthrough.
    • Lock the attendee list and success signals for subsequent meetings.
    • Client to deliver CRM sample export (last 90 days), UTM/ad account access, and current GA/analytics view.
    • Agency to draft the one‑sentence current state and initial consequence estimate using provided inputs.
    • RevOps to produce lead lifecycle mapping and identify existing attribution fields.
    • Agency to deliver a one‑page pilot proposal with targets tied to the agreed value scenario.
    • Recap: Current State & Consequence
    • Get executive agreement on the future state sentence and selection of a target value scenario.
    • Secure a high‑level commitment to fund/approve a pilot based on the projected value scenario.
    • Confirm executive sponsor and decision timeline for the pilot.
    • Craft the One‑Sentence Current State
    • Pilot Scope, Timeline & Success Metrics
    • Define the One‑Sentence Future State
    • Proposed Attribution Methodology(s)
    • Scenario 1 — Paid Search to Pipeline (Diagnosis)
    • Data Flow & Mapping Review
    • Surface Consequences
    • Scenario 1 — Proof: Attribution Simulation & Channel Reallocation
    • Value Scenarios — Pipeline & Revenue Impact
    • Commercial & Data‑Sharing Checklist
    • Outcome‑Centered Solution Sketch
    • Acceptance Tests & Validation Checklist
    • Data & Access Readiness Check
    • Risk Register & Mitigations
    • Scenario 2 — Multi‑Touch Social + Email (Diagnosis & Proof)
    • Executive Validation & Commitment
    • Governance, SLAs & Roles
    • Scenario 3 — Landing Page & Conversion Lift (Proof)
    • Agree Success Signals & Attendees for Experience
    • Final Decision & Next Steps
    • Sign‑off & Next Steps
    • Synthesis: Tie Each Proof Back to the Problem
    • Forced Validation
  4. Solution Scope

    Define modules (analytics infra, attribution model, channel execution, landing pages, automation), responsibilities, deliverables, and acceptance criteria.

    Scope Configuration

    • Deploy server-side tracking (GTM Server)
    • Implement GA4 with event schema
    • Configure conversion API for Meta and Google
    • Integrate CRM with ad platforms and MAP
    • Build conversion-focused landing pages
    • Deploy A/B and multivariate landing tests
    • Launch and manage paid search campaigns
    • Launch and manage paid social campaigns
    • Activate programmatic display campaigns
    • Create audience segmentation and sync lists
    • Configure lead scoring and nurture sequences
    • Set up multi-touch attribution modeling
    • Deploy pipeline and revenue reporting dashboard

    Scope Questions

    Deploy server-side tracking (GTM Server)

    • Do you want us to include server-side tagging (GTM Server) in scope? Options: Yes, No, Undecided / Need guidance
    • Which cloud environment should host the server container or do you need us to provision one? Options: Google Cloud (recommended), AWS, Azure, We need agency to provision, Other / Unsure
    • Do you currently have client-side tags and a dataLayer implemented to support server-side migration? Options: Fully implemented, Partially implemented, No implementation, Unsure
    • Which downstream endpoints must the server container forward events to? Options: GA4, Meta Conversion API, Google Ads / Floodlight, Third-party analytics / CDP, Other
    • Who will own provisioning, security, and ongoing maintenance of the server container? Options: Client (internal infra), Agency, Shared (client + agency), Undecided
    • Please state the acceptance criteria for successful server-side tracking deployment (events firing, match rate, latency, logging, etc.).

    Implement GA4 with event schema

    • Do you want GA4 implementation or audit included? Options: Full implementation, Audit and remediation, Migration from Universal Analytics only, No / Already complete
    • Do you already have a GA4 property configured and receiving data? Options: Yes - properly configured, Yes - partial/incorrect schema, No - need setup, Unsure
    • Which events and parameters are required to be tracked (select commonly expected items)? Options: Page view, Form submission, Button click, Ecommerce purchase, User engagement (scroll/time), Custom events
    • Is a standardized event naming and schema required to align analytics, attribution and reporting? Options: Yes - enforce strict schema, Yes - flexible mapping, No - prefer minimal changes
    • Is there an existing dataLayer or existing developers who can add it to pages? Options: Yes - robust dataLayer, Partial dataLayer exists, No - dev resources required, Unsure
    • Define acceptance criteria for GA4 (key events, data accuracy thresholds, QA steps, reporting validation).

    Configure conversion API for Meta and Google

    • Which conversion APIs do you want configured? Options: Meta Conversion API, Google (Enhanced Conversions / Server-side), Both Meta and Google, Other / Unsure
    • Do you have any existing server-side event forwarding or conversion API integrations? Options: Yes - fully implemented, Yes - partial, No, Unsure
    • Which systems will provide event/test data for CAPI (CRM, MAP, backend, CDP)? Options: CRM (Salesforce/HubSpot), MAP (Marketo/HubSpot), CDP, Backend order system, Other
    • Will you provide hashed PII (email / phone) or identifiers for event matching and are there privacy constraints? Options: Yes - hashed PII available, No - cannot share PII, Only partial data available, Unsure / need guidance
    • What match rate and event delivery SLA would you consider acceptable for conversion API performance? Options: >90% match, 70-90% match, <70% match acceptable, Undecided - want agency recommendation
    • List the acceptance criteria for conversion API configuration (end-to-end event delivery, match rates, deduplication, reporting alignment).

    Integrate CRM with ad platforms and MAP

    • Do you require integration between CRM, ad platforms and your marketing automation platform (MAP)? Options: Yes - full sync (leads, conversions, revenue), Yes - partial (leads only), No, Unsure
    • Which CRM(s) and MAP(s) must be connected? Options: Salesforce, HubSpot CRM, Marketo / Adobe, Pardot, Other
    • Which ad platforms should receive CRM-derived audiences or conversion events? Options: Google Ads, Meta Ads, LinkedIn, DSP / Programmatic, Other
    • What data fields need syncing (lead fields, lifecycle stage, opportunity status, revenue, UTM parameters)? Options: Lead/contact fields, Opportunity/stage, Closed revenue, UTM / source data, Custom fields
    • Who will provide API credentials and own security approvals for CRM/MAP access? Options: Client (internal team), Agency, Shared
    • Describe success criteria for CRM <> ad <> MAP integration (data latency, field mapping, dedupe, reconciled revenue).

    Build conversion-focused landing pages

    • Do you need new conversion-focused landing pages built or redesigns of existing pages? Options: New pages, Redesign existing pages, Template updates only, No
    • Which CMS or hosting environment will host the landing pages? Options: WordPress, HubSpot CMS, Custom / React, Unbounce / Instapage, No CMS / Need recommendation
    • Do landing pages require form integration with CRM / MAP and server-side tracking? Options: Yes - CRM + server tracking, Yes - only CRM, No forms (leadless conversion), Unsure
    • Are creative assets and approved brand guidelines available (copy, images, CTAs)? Options: All assets available, Partial assets - need support, No assets - agency to create
    • What traffic volume and performance targets should landing pages support (conversions per month, conversion rate targets)?
    • Define acceptance criteria for landing pages (load time, form submit success, tracking, QA across devices).

    Deploy A/B and multivariate landing tests

    • Do you want A/B testing, multivariate testing, or both on landing pages? Options: A/B testing, Multivariate testing, Both, No testing required
    • Which experimentation platform do you prefer or already use? Options: Optimizely, VWO, Google Optimize / GA experiment method, Unbounce / Built-in, No platform / Need recommendation
    • What statistical confidence or minimum detectable effect do you require for tests? Options: 95% confidence, 90% confidence, 80% confidence, No specific requirement / need guidance
    • Who will produce test variants (agency creative team, client, shared)? Options: Agency, Client, Shared
    • What cadence do you expect for running and iterating experiments (weekly, bi-weekly, monthly)? Options: Weekly, Bi-weekly, Monthly, Ad hoc
    • Specify acceptance criteria for testing (statistical reliability, increased conversion lift, implementation QA).

    Launch and manage paid search campaigns

    • Should paid search campaign setup and ongoing management be included? Options: Yes - setup + management, Setup only, Management only, No
    • Do you have existing ad accounts (Google Ads / Microsoft Ads) and billing in place? Options: Google Ads account ready, Microsoft Ads ready, Both ready, No accounts / need creation
    • What are the primary campaign objectives? Options: Lead generation, Revenue / eCommerce, Website traffic, Brand awareness
    • What is your expected monthly search budget range? Options: Under $5,000, $5k - $25k, $25k - $100k, $100k+
    • Are conversion tracking and offline revenue imports configured for search attribution? Options: Yes - fully configured, Partial (needs mapping), No - need setup, Unsure
    • Describe success criteria for paid search (CPA/ROAS targets, lead quality metrics, pipeline contribution).

    Launch and manage paid social campaigns

    • Do you require paid social campaign setup and ongoing management? Options: Yes - setup + management, Setup only, Management only, No
    • Which social platforms should be included? Options: Meta (Facebook/Instagram), LinkedIn, X / Twitter, TikTok, Other
    • Are creative assets, ad copy and audience lists available for launch? Options: All assets ready, Partial - need agency support, No - agency to create everything
    • What targeting approaches should we prioritize? Options: CRM / list targeting, Lookalike / Similar audiences, Interest / demographic targeting, Intent / keyword-based
    • What monthly social ad budget do you expect to allocate? Options: Under $5,000, $5k - $25k, $25k - $100k, $100k+
    • Define acceptance criteria for paid social success (target CPA, leads, pipeline contribution, match to reporting).

    Activate programmatic display campaigns

    • Do you want programmatic display added to the mix? Options: Yes - programmatic included, No, Undecided / need recommendation
    • Which buying types and inventory preferences do you prefer? Options: Open auction, PMP / Private Deals, Programmatic Guaranteed, Direct site buys, No preference / need guidance
    • What targeting signals should programmatic campaigns use? Options: Contextual, Audience segments (CRM/CDP), Geo / DMA, Site whitelist/blacklist
    • Which creative formats are required? Options: Standard display banners, Responsive/native, Video, Rich media
    • What are the campaign-level success criteria (viewability, CTR, conversions, frequency caps)?

    Create audience segmentation and sync lists

    • Do you require audience segmentation and push/sync to ad platforms? Options: Yes - real-time sync, Yes - scheduled sync, No, Unsure
    • What data sources will feed audience segmentation? Options: CRM, Website / GA4, CDP, Third-party lists, MAP
    • Which segmentation types should be prioritized? Options: Demographic, Behavioral (recent activity), Firmographic / account-based, Intent / keyword signals
    • Which destinations require synced lists (select all that apply)? Options: Google Ads, Meta Ads, LinkedIn, DSPs / Programmatic, Marketing Automation Platform
    • Define acceptance criteria for audience segmentation (freshness, match rate, segment size, successful syncs).

    Configure lead scoring and nurture sequences

    • Is lead scoring and automated nurture part of scope? Options: Yes - scoring + nurture, Scoring only, Nurture only, No
    • Which scoring model do you prefer or currently use? Options: Explicit (profile data), Implicit (behavioral), Hybrid (both), No current model / need design
  5. Mutual Commit

    Agree commercial terms, SLAs, the attribution methodology, data-sharing obligations, and joint responsibilities for lead handling and measurement.

    Agreement Modules

    • Statement of Work (SOW)
    • Master Services Agreement (MSA)
    • Commercial Terms & Payment Schedule
    • Attribution Methodology Agreement
    • Data Processing & Sharing Agreement (DPA)
    • Lead Handling & RevOps Responsibilities
    • Service Level Agreement (SLA)
    • Security & Access Authorization
    • Implementation Timeline & Milestones
    • Measurement & Validation Plan
    • Change Order & Scope Management
    • Termination, Renewal & Exit Plan
    • Governance & Escalation Plan
    • Case Study & Reference Release
  6. Deployment

    Operationalize rollout with readiness checks, enablement, and outcome validation.

    1. Pre-Deployment Readiness

      Confirm CRM and ad platform access, data mappings, integrations, staging environments, and assigned owners are in place.

      Readiness Questions

      Getting Comfortable Together — quick intro

      • Please share your name, title, and the one outcome you must deliver this quarter (briefly).
      • Which best describes the team you represent? Options: Marketing (demand/gen), Revenue/RevOps, Sales Ops, Product/Analytics, IT/Security, Agency partner, Other
      • Who are the two people (role or name) we should include in deployment conversations to avoid surprises?
      • How urgent is the deployment from a business perspective? Options: Critical — must launch within 48 hours, High — within 1 week, Medium — 2–4 weeks, Low — >1 month
      • When you think about this launch, what's your biggest emotional reaction right now (e.g., excited, anxious, skeptical)? Options: Excited, Confident, Anxious, Skeptical, Overwhelmed, Relieved

      If Data Could Speak — what would it tell us?

      • Imagine perfectly linked CRM + ad platform data that maps every dollar to pipeline — what would that change for your quarterly reviews?
      • Which CRM(s) and marketing/ad platforms do we need to integrate with? (select all that apply) Options: Salesforce, HubSpot CRM, Microsoft Dynamics 365, Pardot, Marketo, Google Ads, Meta (Facebook) Ads, LinkedIn Ads, TikTok Ads, Amazon Ads, Other
      • Do you currently have admin-level access available for the platforms you selected? Options: Yes — we can provide now, Yes — requires approvals/ticket, Limited access only, No admin access available, Not sure
      • Where do you feel the data story is weakest today (pick top 2)? Options: CRM lead/contact mapping, Ad click-to-lead tracking, Landing page conversion events, Server-side events, Cross-domain tracking, Attribution model consistency, Data sharing between teams
      • Tell us about a recent meeting where data caused disagreement — what was the disputed metric, and how did it make you feel?

      Where the Boxes Don’t Line Up — mismatches that bite

      • When marketing reports 'leads' and sales reports 'opportunities', what usually causes that gap in your org? Options: Different lead definitions, Delayed lead handoff, Duplicate or bad data, Missing UTM/source info, Sales not qualifying consistently, Other
      • Do you have formal MQL/SQL definitions, and are they enforced in the CRM? Options: Yes — formal and enforced, Yes — defined but inconsistently enforced, Informally defined, No formal definitions
      • How are UTM parameters and campaign metadata currently captured and validated? Options: Automatic via GTM/server, Manual entry by landing pages, Captured but not validated, Not captured reliably, Other
      • Have you attempted to reconcile ad-platform click data with CRM leads before? What was the outcome? Options: Yes — successful, Yes — partial success with caveats, Yes — failed/too noisy, No — never attempted
      • Share one concrete example of a recent mismatch (e.g., paid search shows 500 leads, CRM shows 120), and what you suspect caused it.

      Who's Really Going to Hold the Keys? — ownership & escalation

      • If tracking or integrations break after-hours, who do you expect will be called to fix it? Options: Internal RevOps/Analytics, Marketing Ops, IT/Security, Agency/Implementation Partner, No defined on-call owner
      • Please list the named owners (or roles) for: CRM admin, Ad platform admin, Data engineer/warehouse, and Staging environment owner.
      • How do you prefer we request access or make changes (select primary) Options: IT ticketing system (Jira/ServiceNow), Email approval chain, Admin portal request, Security/Vendor onboarding form, Other
      • What approvals are required to add a service account or grant API scope (e.g., legal, security, VP sign-off)? Options: No approvals, Marketing leadership, RevOps sign-off, IT/Security approval, Legal/compliance
      • How available are the named owners for working sessions during setup (select all that apply)? Options: Immediate availability (daily), A few hours/week, Weekly check-ins only, Rarely available

      What Would Break the Launch? — honest failure modes

      • From your experience, what single technical or organizational failure has derailed similar deployments in the past?
      • Which of these do you currently anticipate might block us during Pre-Deployment? (pick all that apply) Options: Missing admin credentials, Compliance/security restrictions, Insufficient staging environment, Incomplete data model/mappings, Sales process not aligned, Third-party vendor delays
      • Do you have a staging environment that mirrors production for testing tracking and attribution? If yes, briefly describe access constraints. Options: Yes — full staging, Yes — limited staging, No staging available, Not sure
      • Are there regulatory or privacy constraints (GDPR, CCPA, contractual) that limit data sharing or export? Options: Yes — strict constraints, Some constraints with workarounds, No major constraints, Not sure
      • If we encountered an access or compliance block, what is your preferred mitigation approach? Options: Use anonymized/test data, Work with IT to provision scoped service account, Delay until approvals complete, Use proxy/staging with limited users, Other

      Can We Prove It Before It Runs? — testing & acceptance

      • How important is full end-to-end validation in staging before we flip to production? Options: Essential — must validate everything, Important — validate core flows, Nice-to-have, Not necessary
      • Which test datasets or sample accounts can you provide to validate touchpoints (e.g., test leads, test purchases, sandbox CRM records)? Options: Test leads available, Test purchases available, Sandbox CRM records, No test data available, Not sure
      • Which of these verification checks should be considered mandatory before go-live? (select top 3) Options: UTM persistence across pages, Ad click → server event → CRM lead, Postback latency < X seconds, Deduplication/lead merging logic, Attribution matches agreed model on sample cohort
      • Who must sign the validation checklist to approve go-live (roles/names)?
      • What acceptance thresholds would feel comfortable (e.g., event match rate > 95%, CRM lead match > 90%)? Please specify numbers if you have them.

      How Do We Measure We’re All Aligned? — KPIs, SLAs & disputes

      • If we disagree on attribution after launch, what evidence will you accept to resolve the dispute? Options: Raw server logs, CRM lead timelines, Ad platform click records, Third-party measurement tool, Jointly agreed reconciliation process
      • What are the top 3 metrics that will determine whether this engagement is successful in the first 90 days? Options: Pipeline influenced, Leads-to-opportunities conversion, Cost per acquisition (CPA), Attributable revenue, Lead quality (SQL%), Other
      • How often would you like a reconciliation/reporting cadence during initial deployment? Options: Daily during launch week, Bi-weekly, Weekly, Monthly
      • Are there SLA expectations for data freshness or incident response (e.g., data latency < 1 hour, incident response within 4 hours)? Please list any hard limits.
      • Who is the executive sponsor we should update with milestone and risk reports?

      Practical Next Steps — the access & mapping plan

      • Are there internal vendor/security questionnaires or onboarding steps we must complete before access is granted? Options: Yes — security questionnaire, Yes — vendor onboarding form, No formal process, Not sure
      • For each platform we will access, select the preferred credential method: Options: Service account with scoped OAuth/API key, Shared admin account (not recommended), Individual user admin invites, SAML/SO for service integration, Other
      • Please map the minimal scopes we should request for: CRM (e.g., read/write leads), Ad platforms (e.g., Campaign read, conversion write), Data warehouse (read access). If known, paste scope names or policies.
      • What is a realistic date by which we can expect credentials and any necessary approvals to be completed? Options: Within 48 hours, Within 1 week, Within 2 weeks, More than 2 weeks
      • Who will open or own the ticket(s) to grant access (name/role), and what contact information should we use for follow-up?
    2. Deployment Enablement

      Schedule kickoff tasks, build initial campaigns and landing pages, configure reporting, and align execution owners and timelines.

    3. Validation Checklist

      Run attribution and data-flow tests, validate KPIs and tracking, and confirm measurement matches agreed success signals.

      Validation Questions

      Quick Ground-Check: One Thing That Must Change

      • What is the single most important outcome you need digital marketing to deliver this quarter? Options: Pipeline volume, Pipeline quality (MQL→SQL), Revenue closed, Lower CAC, Clear attribution to revenue, Better sales handoff, Other
      • What numeric target sits behind that outcome (pipeline $ / number of leads / conversion rate)? Please be specific.
      • Who owns accountability for hitting that target internally? Options: VP/Head of Marketing, Head of Demand Gen, CMO, Director of Growth, RevOps/Revenue Ops, Sales Leader, CEO/Founder, Other
      • If you miss the target this quarter, what will the practical consequences be (budget cuts, headcount review, strategy change)? Options: Budget reallocation, Increased vendor scrutiny, Leadership escalation, Hiring/firing decisions, Pause campaigns, Other
      • How confident are you—on a scale from 1–5—that your current setup can hit that target? Options: 1 - Not confident, 2, 3 - Somewhat confident, 4, 5 - Very confident

      If You Had To Defend Every Dollar, What Would You Say?

      • When leadership asks you to justify digital spend, what single data point or story do you reach for today?
      • Where do you currently see the biggest attribution blind spot (paid search, programmatic, social, organic, offline)? Options: Paid Search, Paid Social, Programmatic/Display, SEO/Organic, Email/Automation, Offline events, Cross-device tracking, Other
      • How often do the numbers you report internally change when you run a deeper analysis or reconcile with CRM? Options: Always, Often, Sometimes, Rarely, Never
      • When reporting breaks—or shows unexpected variance—what story do stakeholders assume, and how does that make you feel?
      • If you could eliminate one attribution mystery today, which would it be and why?

      Who's Actually Driving This — And Who’s Quietly Slowing It Down?

      • Which internal stakeholders must be convinced for a new measurement and channel strategy to stick? Options: Legal/Privacy, VP Marketing/CMO, Demand Gen/Performance Lead, RevOps/BI, Sales leadership, Finance, Product/Engineering, Other
      • How do you describe the decision path and approvals for vendor selection and budget changes (fast, committee-led, executive sign-off)? Options: Fast (single decision maker), Cross-functional committee, Requires C-suite approval, Finance-led controls, Ad-hoc depending on spend
      • Who on the sales side is expected to follow up on marketing-generated leads, and how consistently does that happen? Options: AE team (Inside Sales), Account Executives (field), BDRs/SDRs, Sales Ops, Shared responsibility, Not consistent / unclear
      • Have you experienced internal friction when measuring marketing-influenced pipeline? If yes, give a short example and the emotional impact.
      • What would meaningful RevOps involvement look like to you—data ownership, automation, SLA enforcement, or something else? Options: Data ownership & modeling, Integration & automation, Lead routing SLAs, Attribution governance, Reporting & dashboards, Other

      Show Me the Tech That’s Supposed To Save You

      • Which tools and platforms are currently in your stack (CRM, analytics, tag manager, CDP, attribution tool)? Select all that apply. Options: Salesforce, HubSpot CRM, Google Analytics 4, UTM-based tracking, Segment/Tealium/CDP, GTM/Tag Manager, Looker/Tableau/PowerBI, Attribution vendor (e.g., Attribution, Ruler, Bizible), Ad platforms (Google, Meta, LinkedIn, DV360), Other
      • Do you have a single source of truth for lead-to-revenue reporting today, or do reports live in multiple places? Options: Single source of truth, Multiple reconciled sources, Multiple unreconciled sources, No clear source
      • Are there known gaps in data capture (form mapping, cross-domain, offline conversion ingest)? Please list the top two and how long they've existed.
      • Which access or privacy constraints should we anticipate when integrating (restricted API, PII redaction, vendor approvals)? Options: Full admin access available, Limited API access, PII restrictions / redaction required, Security review needed, Requires vendor whitelisting, Other
      • If we asked for a staging environment to test attribution flows, how likely is that to be available within 2 weeks? Options: Very likely, Possible with effort, Unlikely, Not an option

      What We've Tried That Didn't Work (Be Brutally Honest)

      • Think of the last in-house or agency effort to fix attribution or scale paid channels—what was promised and what actually happened?
      • Which of these failure modes best describes past efforts? Options: Tactic-only optimization (no measurement), Opaque reporting from agency, Attribution model disagreement, Poor sales follow-up, Data access blockers, Budget misallocation, Other
      • How long did you run the prior program before concluding it wasn’t working? Options: < 1 month, 1–3 months, 3–6 months, 6–12 months, > 12 months
      • What was the single biggest internal frustration during that engagement (examples: excuses, slow reactions, fees, no senior involvement)?
      • If you could go back and change one decision from that period, what would it be and why?

      Imagine a World Where Every Conversion Tells a Story

      • What does a successful measurement system actually look like for you—what reports, cadence, and story must it deliver?
      • Which KPIs are non-negotiable for you to sign off a campaign as successful? Options: Marketing-sourced pipeline, Attribution-adjusted pipeline, Revenue influenced, CAC/LTV, SQL conversion rate, Lead velocity, Other
      • How do you want attribution to be presented to stakeholders—single-touch, multi-touch, algorithmic, or blended? Any strong objections? Options: Single-touch (first/last), Multi-touch linear/time decay, Algorithmic/data-driven, Blended view (side-by-side), No preference yet
      • What success signals would make you champion this engagement internally—specific numbers, case-study style wins, or SLA guarantees? Options: Verified case study metrics, Weekly pipeline scorecards, SLA on lead routing, Attribution transparency & audit, Revenue-backed guarantees, Other
      • If we delivered attribution that shifted how budget should be allocated, how willing would you be to reassign spend across channels? Options: Very willing, Somewhat willing, Reluctant, Not willing without more proof

      How Fast Can We Move Without Breaking Things?

      • What is your ideal timeline from kickoff to measurable first results (pilot/initial attribution validation)? Options: 2–4 weeks, 1–2 months, 3 months, 4–6 months, Longer
      • What internal barriers typically slow projects (security review, procurement, legal, engineering backlog)? Select all that apply. Options: Security/compliance review, Procurement/POs, Legal contract negotiations, Engineering/IT availability, Data privacy approvals, No major barriers
      • Are there blackout dates, product launches, or quarterly reviews that we must avoid when planning a pilot? Options: Yes—list below, No major constraints
      • What level of access can you realistically grant us during a pilot (ad account read/write, CRM read/write, analytics admin)? Options: Full admin-level access, Limited scoped access, Read-only, API-only, Access requires additional approvals
      • If we propose a short revenue-backed pilot, what would make it acceptable to your leadership? Options: Clear success metrics, Cap on cost/exposure, Time-limited trial, Dedicated senior resource from us, Legal-friendly contract terms, Other

      What Would Make You Sign On The Dotted Line?

      • What are the non-negotiable commercial or contractual terms you expect from a partner on measurement and execution? Options: Performance SLAs, Transparent reporting & audit rights, Data ownership clarity, Termination terms, Fixed-fee pilot options, Revenue share/bonus structures, Other
      • How important is senior team involvement (regular access to senior strategists) in your vendor evaluation? Options: Critical, Important, Nice to have, Not necessary
      • What guarantees or risk-reduction mechanisms would move you from interest to commitment (examples: trial, pilot KPIs, money-back, phased payments)? Options: Short pilot with KPIs, Money-back or credit, Phased scope tied to milestones, Performance bonuses, None—trust-based
      • Who besides you will sign off commercial terms, and what concerns will they raise that we should prepare to address?
      • If we leave this conversation with one concrete next step, what would be most useful—a tailored pilot plan, a technical readiness checklist, or a budget and commercial proposal? Options: Tailored pilot plan, Technical readiness checklist, Budget & commercial proposal, Case studies & references, Other
  7. Success

    Review outcomes against targets, iterate optimizations, and maintain a shared channel for issues and enhancements.

    Success Reviews

    • Monthly Outcomes Review
    • Optimization Planning Workshop
    • Quarterly Executive Business Review (EBR)
    • Attribution & Data Integrity Check
    • Biweekly Issues Triage & Shared Channel Sync

    Issues & Enhancements

    • Implement prioritized fixes (tagging, mapping, server-side changes) with RevOps and engineering owners.
    • Secure executive alignment on marketing contribution to pipeline and ROI.
    • Obtain decisions on budget, scope, or contract changes tied to performance.
    • Produce EBR one-page brief and distribute to executive stakeholders.
    • Implement approved budget/scope changes and update statement of work if required.
    • Assign executive-owned action items to remove cross-functional blockers.
    • Schedule follow-up to validate implementation of executive decisions and track outcomes.
    • Data Health Summary
    • Confirm integrity of attribution and measurement for current reporting window.
    • Agree the remediation plan, owners, and schedule for any data issues.
    • Lock down sign-off criteria so future results are trusted by commercial stakeholders.
    • Run the agreed set of end-to-end tracking tests and publish results.
    • Opening & Objectives
    • Re-validate corrected data and obtain stakeholder sign-off before next reporting cycle.
    • Document attribution model assumptions and sensitivity analysis for executive reference.
    • Open Issues Review
    • Ensure all operational issues have an owner, SLA, and a clear next step.
    • Keep the shared communication channel current and trusted as the single source of truth.
    • Prevent escalation by resolving or appropriately prioritizing at-risk items quickly.
    • Create or update tickets for all discussed items with owners and deadlines.
    • Post a biweekly status summary to the shared channel after the meeting.
    • Escalate any unresolved blockers to executive sponsor if SLAs are at risk.
    • Add approved enhancements to the prioritized roadmap for the next planning cycle.
    • Validate performance vs agreed success signals and commercial targets.
    • Identify 2–4 concrete optimizations with owners and timelines.
    • Confirm any measurement gaps requiring a data action or investigation.
    • Publish updated KPI dashboard and distribution to stakeholders.
    • Assign owners, success metrics, and launch dates for each agreed optimization.
    • Open data integrity ticket for any attribution or tracking discrepancies and assign RevOps owner.
    • Schedule follow-up check on optimizations (date/time).
    • Recap Findings from Outcomes Review
    • Select and prioritize top experiments that move pipeline/revenue within the quarter.
    • Document clear hypotheses, success metrics, and test protocols for launch.
    • Confirm owners, resources, and a launch timeline for each item.
    • Draft experiment briefs (hypothesis, metrics, tracking) for each prioritized item.
    • Provision creative, landing page, and tagging tasks to relevant teams with deadlines.
    • Update campaign and budget plans to reflect reallocation decisions.
    • Schedule mid-test check-ins and final measurement review dates.
    • Confirm executive sponsor actions to resolve cross-functional blockers (e.g., sales SLAs).
    • Executive Summary
    • KPI Scoreboard
    • Attribution Model Validation
    • Commercial Performance & Attribution Confidence
    • Opportunity Prioritization
    • Priority Re-assessment
    • Experiment Design
    • Test Results & Anomalies
    • Attribution-backed Pipeline Review
    • Strategic Initiatives & Roadmap
    • Owner Assignment & SLA Confirmation
    • Resourcing and Timeline
    • Risk & Capacity Review
    • Gap Analysis & Root Causes
    • Enhancement Requests & Backlog Grooming
    • Remediation Plan & Prioritization
    • Validation Sign-off Criteria
    • Channel Hygiene & Communication Plan
    • Commercial & Contract Decisions
    • Risk, Rollback & Acceptance Criteria
    • Wins and Learnings
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