Digital Marketing
New business and client engagements where creative vision, strategy alignment, and multi-stakeholder approval determine outcomes.
Inside this journey
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Pre-Discovery
Align the room on outcomes, decision process, and constraints before deeper discovery.
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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?
- Which channels currently drive the majority of your leads?
- Roughly how many full-time people own digital acquisition day-to-day?
- What monthly digital ad budget range are you working with today?
- 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?
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?
- Where do you feel the most pressure—volume of leads, quality of leads, conversion to pipeline, or defending budget?
- 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?
- How would missing these targets affect your ability to secure marketing budgets for the rest of the year?
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?
- Which approvals are required before we can change tracking, access CRM, or run A/B tests?
- How clearly are roles defined for lead ownership—who is responsible for lead routing, qualification, and SLA adherence?
- 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?
Where Your Data Lets You Down
- How confident would you be defending your digital budget with current attribution and reporting in a board meeting?
- What parts of your data flow feel most fragile—tracking, CRM hygiene, platform-level attribution, or cross-channel measurement?
- Where have you identified gaps or blind spots—paid vs. organic, multi-touch paths, offline conversion, or partner-sourced leads?
- 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?
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?
- Which success signals would convince you our work is on track—lead-to-opportunity rate, pipeline velocity, CAC:LTV, or closed-won attribution?
- What budget constraints or reallocation rules would limit execution (e.g., 30-day spend caps, testing-only dollars, or campaign freeze windows)?
- How important is it that any agency is measured and paid against revenue or pipeline outcomes rather than impressions/clicks?
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?
- What technical changes have you avoided because they felt risky—switching attribution models, server-side tracking, or giving vendor API access?
- Which proof points (case studies, data models, references) would most reduce your hesitation to try a new partner?
- How do you prefer to validate an agency—short pilot, guaranteed KPIs, or extended reference checks?
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?
- What reporting cadence and format would make you feel comfortable—daily dashboards, weekly highlights, or monthly strategic reviews?
- What SLAs or response times would you want for lead handoff and campaign adjustments (e.g., 1 hour, 24 hours, 3 days)?
- Who needs read-only access versus edit access to dashboards and ad platforms for alignment?
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?
- How soon can you provide the access we’d need for a pilot (CRM, ad accounts, GA4, staging site)?
- Which success criteria would make the pilot a clear pass—X% lift in SQL rate, measurable revenue influenced, or validated attribution model?
- What internal barriers might slow a pilot—procurement, legal/privacy review, or sales buy-in?
- If we proposed a 6–8 week discovery + pilot, who would we need to involve and what would success look like to them?
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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?
- Which single business metric are you under the most pressure to improve this quarter?
- 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?
- 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?
- Which channels are you actively investing in today?
- 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?
- How long is data retained in your analytics and warehouse (select closest)?
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?
- How often do you see conflicting performance signals between platforms (e.g., platform-reported conversions vs CRM)?
- 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)?
- How does your team feel when review meetings surface conflicting numbers—frustrated, defensive, confused, or pragmatic?
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?
- 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?
- How much time and budget (approximate) has been spent on measurement fixes in the last 12 months?
- If a fix required sales or RevOps changes, how open were those teams to adopting new workflows historically?
The Blind Spots Nobody Talks About
- Which attribution blind spot would be most damaging if exposed in a board or CEO review?
- Which of these blind spots exist in your current setup (select all that apply)?
- Can you estimate the monthly pipeline or revenue potentially affected by those blind spots (ballpark)?
- 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?
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?
- How complete is the CRM data for marketing-sourced leads—are key fields consistently populated (email, lead source, campaign, MQL reason)?
- What percentage of leads can you currently match to an identifiable marketing touch (approx)?
- Which data access constraints would block a proper end-to-end attribution audit?
- How quickly could you provide the minimum data set we typically need (ad accounts, CRM exports, GA/Analytics, server logs)?
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)?
- What minimum improvement in pipeline or CAC would justify investing in a full attribution rebuild for your team?
- How quickly would you expect to see measurable impact after an attribution and data-infra overhaul?
- 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?
- Which approvals are required to grant full access to ad accounts and CRM for an audit or pilot?
- 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?
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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?
- Which time horizon is highest-priority for hitting the first meaningful milestone?
- Which buyer segments or personas must carry most of this pipeline?
- When you picture success a year from now, what business metric feels most convincing to your CEO?
What if your attribution is systematically hiding your best-performing channel?
- Which attribution model do you currently rely on when making budget decisions?
- Where do you feel the biggest blind spots exist today (pick all that apply)?
- 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?
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?
- Which channels consistently underperform versus expectations and how do you measure that gap today?
- 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?
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?
- What is your typical lead response time today (averages are fine)?
- How does sales indicate lead quality or accept/return leads from marketing (scoring, tags, reasons)?
- 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?
- Which dashboard/report would change behavior in your leadership team the fastest?
- What confidence level in attribution/data would be required for you to reallocate budget based on our recommendations?
- 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?
- Which internal teams and decision-makers must be involved to move forward?
- What is your typical procurement or contracting timeline for vendor engagements?
- Is there an internal budget range already provisioned for this work? If yes, please select the range.
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)?
- 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?
- 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?
- How willing are you to share closed-loop CRM data and revenue outcomes with an external partner under an NDA?
- What data types would you be unwilling to share (if any)?
- 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?
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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
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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?
- Which cloud environment should host the server container or do you need us to provision one?
- Do you currently have client-side tags and a dataLayer implemented to support server-side migration?
- Which downstream endpoints must the server container forward events to?
- Who will own provisioning, security, and ongoing maintenance of the server container?
- 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?
- Do you already have a GA4 property configured and receiving data?
- Which events and parameters are required to be tracked (select commonly expected items)?
- Is a standardized event naming and schema required to align analytics, attribution and reporting?
- Is there an existing dataLayer or existing developers who can add it to pages?
- 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?
- Do you have any existing server-side event forwarding or conversion API integrations?
- Which systems will provide event/test data for CAPI (CRM, MAP, backend, CDP)?
- Will you provide hashed PII (email / phone) or identifiers for event matching and are there privacy constraints?
- What match rate and event delivery SLA would you consider acceptable for conversion API performance?
- 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)?
- Which CRM(s) and MAP(s) must be connected?
- Which ad platforms should receive CRM-derived audiences or conversion events?
- What data fields need syncing (lead fields, lifecycle stage, opportunity status, revenue, UTM parameters)?
- Who will provide API credentials and own security approvals for CRM/MAP access?
- 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?
- Which CMS or hosting environment will host the landing pages?
- Do landing pages require form integration with CRM / MAP and server-side tracking?
- Are creative assets and approved brand guidelines available (copy, images, CTAs)?
- 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?
- Which experimentation platform do you prefer or already use?
- What statistical confidence or minimum detectable effect do you require for tests?
- Who will produce test variants (agency creative team, client, shared)?
- What cadence do you expect for running and iterating experiments (weekly, bi-weekly, monthly)?
- 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?
- Do you have existing ad accounts (Google Ads / Microsoft Ads) and billing in place?
- What are the primary campaign objectives?
- What is your expected monthly search budget range?
- Are conversion tracking and offline revenue imports configured for search attribution?
- 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?
- Which social platforms should be included?
- Are creative assets, ad copy and audience lists available for launch?
- What targeting approaches should we prioritize?
- What monthly social ad budget do you expect to allocate?
- 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?
- Which buying types and inventory preferences do you prefer?
- What targeting signals should programmatic campaigns use?
- Which creative formats are required?
- 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?
- What data sources will feed audience segmentation?
- Which segmentation types should be prioritized?
- Which destinations require synced lists (select all that apply)?
- 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?
- Which scoring model do you prefer or currently use?
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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
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Deployment
Operationalize rollout with readiness checks, enablement, and outcome validation.
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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?
- 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?
- When you think about this launch, what's your biggest emotional reaction right now (e.g., excited, anxious, skeptical)?
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)
- Do you currently have admin-level access available for the platforms you selected?
- Where do you feel the data story is weakest today (pick top 2)?
- 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?
- Do you have formal MQL/SQL definitions, and are they enforced in the CRM?
- How are UTM parameters and campaign metadata currently captured and validated?
- Have you attempted to reconcile ad-platform click data with CRM leads before? What was the outcome?
- 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?
- 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)
- What approvals are required to add a service account or grant API scope (e.g., legal, security, VP sign-off)?
- How available are the named owners for working sessions during setup (select all that apply)?
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)
- Do you have a staging environment that mirrors production for testing tracking and attribution? If yes, briefly describe access constraints.
- Are there regulatory or privacy constraints (GDPR, CCPA, contractual) that limit data sharing or export?
- If we encountered an access or compliance block, what is your preferred mitigation approach?
Can We Prove It Before It Runs? — testing & acceptance
- How important is full end-to-end validation in staging before we flip to production?
- Which test datasets or sample accounts can you provide to validate touchpoints (e.g., test leads, test purchases, sandbox CRM records)?
- Which of these verification checks should be considered mandatory before go-live? (select top 3)
- 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?
- What are the top 3 metrics that will determine whether this engagement is successful in the first 90 days?
- How often would you like a reconciliation/reporting cadence during initial deployment?
- 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?
- For each platform we will access, select the preferred credential method:
- 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?
- Who will open or own the ticket(s) to grant access (name/role), and what contact information should we use for follow-up?
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Deployment Enablement
Schedule kickoff tasks, build initial campaigns and landing pages, configure reporting, and align execution owners and timelines.
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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?
- What numeric target sits behind that outcome (pipeline $ / number of leads / conversion rate)? Please be specific.
- Who owns accountability for hitting that target internally?
- If you miss the target this quarter, what will the practical consequences be (budget cuts, headcount review, strategy change)?
- How confident are you—on a scale from 1–5—that your current setup can hit that target?
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)?
- How often do the numbers you report internally change when you run a deeper analysis or reconcile with CRM?
- 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?
- How do you describe the decision path and approvals for vendor selection and budget changes (fast, committee-led, executive sign-off)?
- Who on the sales side is expected to follow up on marketing-generated leads, and how consistently does that happen?
- 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?
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.
- Do you have a single source of truth for lead-to-revenue reporting today, or do reports live in multiple places?
- 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)?
- If we asked for a staging environment to test attribution flows, how likely is that to be available within 2 weeks?
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?
- How long did you run the prior program before concluding it wasn’t working?
- 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?
- How do you want attribution to be presented to stakeholders—single-touch, multi-touch, algorithmic, or blended? Any strong objections?
- What success signals would make you champion this engagement internally—specific numbers, case-study style wins, or SLA guarantees?
- If we delivered attribution that shifted how budget should be allocated, how willing would you be to reassign spend across channels?
How Fast Can We Move Without Breaking Things?
- What is your ideal timeline from kickoff to measurable first results (pilot/initial attribution validation)?
- What internal barriers typically slow projects (security review, procurement, legal, engineering backlog)? Select all that apply.
- Are there blackout dates, product launches, or quarterly reviews that we must avoid when planning a pilot?
- What level of access can you realistically grant us during a pilot (ad account read/write, CRM read/write, analytics admin)?
- If we propose a short revenue-backed pilot, what would make it acceptable to your leadership?
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?
- How important is senior team involvement (regular access to senior strategists) in your vendor evaluation?
- What guarantees or risk-reduction mechanisms would move you from interest to commitment (examples: trial, pilot KPIs, money-back, phased payments)?
- 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?
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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