Programmatic Advertising
Complex platform, content, and network decisions where revenue, rights, and customer experience intersect.
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, brand-safety tolerance, budget for a 30‑day test, and target timeline for evaluation.
Alignment Questions
Quick Introductions: Who's In The Room?
- Who on your team is leading this evaluation and what title should we use when we speak about decision influence?
- Please list the primary contact(s) (name, role, email) who will own logistical coordination for the test campaign.
- Which stakeholders need to be looped into weekly status updates during the 30‑day test?
- How have these stakeholders worked together on programmatic buys in the past—smoothly, with friction, or rarely?
Who Actually Signs the Check (and Who Slows It Down)?
- If I told you our proposal could be live in 10 business days, what would surprise you about that claim?
- Who holds formal budget approval authority for a $50,000 test and who needs to be notified if the spend changes?
- What typical approval steps have historically added the most time when launching a new vendor test?
- How long does each of those steps usually take in your organization (in business days)?
If This Becomes Public Tomorrow—What's the Damage?
- How tolerant is your team and your C-suite of an open-web placement that sparks social media screenshots?
- Tell us about the last brand-safety incident you experienced: what happened, what channels were affected, and how long did it take to resolve?
- Which types of adjacent content would trigger an automatic campaign pause for you?
- What remediation cadence do you expect if an issue arises—immediate pause, 2–4 hour response, 24 hours, or other?
- How would a brand-safety incident make you feel about continuing the test (confidence lost, cautious, indifferent, more scrutiny)?
What Will Make the CFO Sleep Better About This $50K Test?
- Do you have $50,000 earmarked for an independent DSP test, or would this require reallocation from other line items?
- If the test requires more budget mid-flight to reach statistical significance, how open is finance to a controlled top-up?
- What ROI or CPA improvement would justify scaling beyond the test to a multi-million-dollar program?
- Who in finance or procurement should we include in commercial discussions to accelerate contracting?
Define 'Winning'—What Metrics Actually Matter?
- If you could only pick one primary success metric for the 30‑day test, which would it be and why?
- What minimum thresholds or acceptance criteria must be met for you to consider the test successful (e.g., CPA ≤ X, viewability ≥ Y%)?
- How important is log‑level transparency for your analysis (must-have, nice-to-have, optional)?
- Which data fields do you require in the logs to validate supply-path and performance (impression_id, publisher_domain, intermediaries, bid_price, creative_id, device_id, timestamp, other)?
- Who on your analytics team will be responsible for running the post-test comparison against your current DSP?
Who's Handling The Day‑to‑Day Ops If We Go Live?
- If the test campaign needs immediate optimization, who has authority to request pacing, creative swaps, or targeting changes?
- What access can you provide for logs and reporting during the test (S3, BigQuery, API, dashboard only, other)?
- Are there technical constraints we should know about for tag deployment, audience onboarding, or server‑to‑server integrations?
- How comfortable is your ops team with troubleshooting supply‑path attribution issues—do they have established playbooks or will we need to co-own?
- Who will handle legal/privacy gating for data sharing and what timelines do they require to approve a standard DSP data processing addendum?
Timeline or Destiny: When Do You Need Answers?
- If performance meets your acceptance criteria, what target date would you want a scaled rollout to begin?
- What internal milestones must we hit before the test can start (legal signoff, tag QA, finance approval, creative readiness)?
- How quickly can your team turn around creative or targeting changes if optimization requires it mid‑test?
- What is the realistic earliest go‑live date based on current commitments and approvals?
What Will Make You Nervous Mid‑Test (and How Should We Respond)?
- If a spike in fraudulent impressions or a supply‑path anomaly appears, what immediate actions do you expect the vendor to take?
- What SLA or response time do you require from a vendor when you raise a severity‑1 brand safety or fraud incident?
- Who is the escalation contact on your side (name, role, preferred contact method) for incidents that could become public?
- If the test underdelivers on primary metric but shows learnings in transparency or reach, what outcomes would still be valuable to you?
Clear Next Steps: What Would Commit You Today?
- What is the smallest, non‑risky commitment that would change momentum—signing an NDA, a tech trial, a 2‑week pilot, or a full 30‑day $50K test?
- Who needs to sign the test agreement and who will review the final SOW/SLAs on your side?
- What materials or assurances would you need from us to get that sign‑off (SLA language, security certifications, brand‑safety playbook, reference customers)?
- When would you like us to schedule a short internal kickoff (15–30 minutes) to align stakeholders and confirm the earliest start date?
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Current State Mapping
Document the existing programmatic stack, intermediaries, fraud rates, targeting methods, and any recent brand-safety incidents.
Current State
Getting Comfortable — Quick Snapshot of Your Programmatic Setup
- Who owns daily programmatic buying for your brand right now?
- Which DSP(s), ad servers, and PMP platforms are you actively using today? (list names and versions if known)
- What is your approximate monthly programmatic media budget across open web, CTV, and audio?
- Which channels are in scope for evaluation (select all that apply)?
- How long has your current programmatic stack and partner roster been in production?
If You Followed the Money — Supply Path Visibility
- If we asked you to trace one dollar of spend end-to-end, could you name every intermediary and fee applied?
- List the top intermediaries, resellers, or exchanges you believe your spend flows through (names and known % of spend if available).
- What portion of your programmatic spend do you estimate goes to walled gardens or black‑box resellers?
- When you request impression-level source details today, what specifically is missing most often?
- How often do transparency gaps create internal escalations (legal/finance/CMO)?
Why Your Bids Lose — Latency, Two-Hop Resales, and Leakage
- How confident are you that intermediary latency or multi-hop reselling is costing you auction wins?
- Which publishers, SSPs, or app integrations do you suspect have the most resold/reseller inventory?
- Have you measured time-to-bid or auction latency impacts across your current supply paths?
- How often do you see significant price or win-rate differences when comparing direct header-bid integrations vs. resold inventory?
- If you could remove one intermediary tomorrow, which consequence would matter most to you (cost, latency, visibility, or relationships)?
How Clean Is the Inventory You’re Buying?
- How would you describe your current exposure to ad fraud: acceptable, concerning, or unacceptable?
- Which fraud-detection solutions do you currently use or rely on?
- What percent of impressions do you typically filter or block for fraud before counting as valid?
- Can you currently access the raw signal-level data (request IDs, bidder IDs, user signals) needed to independently validate fraud decisions?
- Tell us about a recent fraud event (what happened, how discovered, business impact, and remediation steps).
Targeting When Cookies Fall — Identity & Context
- If third-party cookies and stable IDs degraded tomorrow, how confident are you in keeping your CPA and reach targets?
- Which targeting methods currently drive performance for your campaigns (select all that apply)?
- What percent of your audience targeting relies primarily on third-party cookies (best estimate)?
- Do you have first-party data (CRM, logged-in data) that can be onboarded currently? If so, describe readiness or barriers.
- Which contextual signals or category taxonomies have you tested or are open to testing?
When Screenshots Hurt — Brand Safety & Reputation
- Have you experienced a public brand-safety incident in the past 24 months that triggered executive attention?
- Describe the most recent brand‑safety incident, root cause, and what channels or partners were involved.
- Which brand-safety controls are enforced before and during campaign delivery (select all that apply)?
- How quickly can your team pause placements or pull spend across your current stack?
- What is your C-suite tolerance for brand-safety exceptions (choose the closest policy)?
Measurement, Logs, and the Evidence You Need
- If asked for a full log of every impression from your last campaign, including publisher ID, SSP, bid path, and timestamps, could you provide it?
- What level of log detail do your current vendors supply (select all that apply)?
- How frequently do you encounter reporting discrepancies between vendor logs and your own analytics?
- Which metrics must be included in any log-level export for your test to be valid?
- Are there legal, contractual, or data‑privacy restrictions (e.g., data residency, vendor NDAs) that would limit log sharing?
Operational Reality — People, Processes, and Timelines
- How many FTEs (or agency hours) are typically required to plan, QA, and run a 30‑day programmatic test?
- Which internal teams are essential for running a test (select all that apply)?
- Typical lead time to launch a cross-channel $50k test (days)
- What's the single biggest operational blocker you face when integrating a new DSP or supply partner?
- How comfortable is your ops team with troubleshooting ad-ops issues in header-bid or CTV integrations?
What Proof Would Make You Move Budget?
- What single piece of evidence would convince your leadership to reallocate a meaningful share of programmatic budget away from a walled garden?
- Which KPIs will you rank as primary for the 30‑day test (select up to three)?
- What minimum performance delta or threshold would you need to consider the test successful?
- Are there mandatory publishers, platforms, or inventory types that must be included or excluded from any test?
- Do you require SLA terms for transparency, log delivery, or fraud remediation to be contractually enforced before running a test?
Permission to Proceed — Practical Next Steps
- Would you authorize a 7‑day sample audit of campaign logs (anonymized if needed) to baseline your stack?
- Preferred method for sharing logs and access (select all that apply)
- Who are the key contacts and roles we should coordinate with (name, role, email) to run the audit and test?
- Are there NDAs, data-processing agreements, or legal approvals needed before we can ingest logs?
- When would you be ready to pilot the 30‑day $50k test campaign?
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Outcome Discovery
Define measurable success signals (CPA, viewability, fraud‑filtered impressions), acceptance criteria, and log-level transparency requirements for the test.
Discovery Questions
Quick Snapshot — Where We Start Together
- To get us moving, can you briefly summarize the single most important outcome this 30‑day test must deliver for your team?
- Which inventory types will you include in the test?
- What is your current month-to-month baseline for the key metrics we’ll compare against (CPA, viewability, fraud-filtered impressions)? Please list numeric baselines if available.
- Who on your side will own the acceptance decision at the end of the test?
- Have you run similar DSP comparisons or $50k tests before? If yes, what surprised you most about the results?
If One Screenshot Can Topple the Test, Tell Us Why
- Imagine your CMO sees an ad next to objectionable content during the test — would that single incident be sufficient to stop the trial or fail the evaluation?
- Who needs to be looped into incident triage (names/roles)? How fast must we notify them?
- What brand-safety controls would be considered 'non‑negotiable' for the campaign to be allowed to run?
- How would you prefer we demonstrate mitigation in real time if an incident occurs?
- Reflecting on past incidents, how did they affect internal trust in programmatic channels and what would rebuild that trust?
What ‘Win’ Actually Looks Like — Beyond a Single Metric
- If cost-per-acquisition met target but viewability and supply-path transparency lagged, would you still call the test a success?
- Rank the following by importance for this test (1 = most important): CPA, viewability, fraud-filtered impressions, reach/unique households, supply-path transparency, log-level access.
- What acceptable thresholds would you set for the top three priorities you selected? Please be specific (numbers or %s).
- How much variance from your baseline are you willing to tolerate during a 30‑day test before you consider it inconclusive?
- Are there qualitative signals that matter (brand-safe creative placements, executive perception, agency confidence)? Describe any that should influence the decision.
If You Can’t Query Every Impression, Can You Trust the Results?
- Which of these log-level fields do you require in order to validate performance and supply path?
- Do you need live streaming access to logs (S3/BigQuery/Databricks) or batched daily exports will suffice?
- Are there legal, privacy, or vendor constraints that would limit which log fields we can share?
- Who on your side will run the log validation queries (role/team) and what tools will they use (SQL, Python, BI)?
- How long do you need raw logs retained for auditability after the test concludes?
Can We Make This Test an Unmistakable Experiment?
- If both DSPs run concurrently in-market, what guardrails are needed to keep audiences isolated and results attributable?
- How do you define a conversion for this test (last-touch, view-through, cross-device attributed)? Be specific about attribution windows and rules.
- Will creative treatments be identical across platforms for a fair test, or do you allow platform-optimized variations?
- What minimum sample size or spend allocation would you consider statistically meaningful for this $50k trial?
- What duration or cadence of reporting would make the experiment actionable (real-time alerts, daily dashboards, weekly reviews)?
What Keeps You Up at Night — Reputation, Risk, and Recovery
- If a brand-safety incident happens during the test, what is your minimum acceptable remediation timeline?
- Which verification and fraud vendors do you trust and expect to be part of the test?
- Do you require pre-bid blocking, post-bid filtering, or both for fraud and brand-safety? Please explain why.
- If an issue damages perception externally (e.g., social media screenshot), what recovery steps will restore internal confidence for you?
- Are there publication-level allowlists or permanent blocklists you insist on using during and after the test?
Deciding What's Next — Scale, Stop, or Iterate
- If the test meets some but not all acceptance criteria, how will you choose between scaling, iterating, or halting?
- What triggers would cause you to scale budget beyond the test (e.g., CPA improvement ≥ X%, viewability ≥ Y%, complete log access)?
- Who must sign off to move from test to scaled activity and which teams will operationalize the ramp?
- If the test fails due to transparency limitations rather than performance, would you consider a second test under stricter logging or vendor terms?
- What would an ideal post-test handoff look like (playbook items, dashboard, SOW, technical runbook)?
Permissions, Legal, and Data Sharing — The Practical Gateways
- If legal or privacy teams push back on sharing certain log fields, which fields are absolute non-negotiables for your analysts?
- Which contractual or technical steps must be completed before we can start streaming logs (MOU, DPA, IP allowlist, S3 access)?
- Do you require any particular encryption, tokenization, or secure transfer methods for log delivery?
- Are there internal teams (security, legal, procurement) we should engage during onboarding? Please list roles and preferred contact cadence.
- What timeline do you need between contract signature and test launch to complete all provisioning?
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Solution Experience
Walk through outcome-based scenarios showing how supply-path transparency, fraud filtering, and contextual/first‑party targeting deliver the agreed signals.
Experience Meetings
- Pre-Work Alignment (Experience Preconditions)
- Outcome Walkthrough — Supply‑Path Transparency
- Outcome Walkthrough — Fraud Filtering & Viewability
- Outcome Walkthrough — Contextual & First‑Party Targeting + CTV Dedup
- Synthesis & Validation — Go/No‑Go for the $50k Test
- Confirm CTV deduplication behavior and expected improvements in reach/frequency profile.
- Customer to flag any intermediaries/publishers that must be blocked or prioritized for the test.
- Finance/Procurement to review the fee model and confirm any billing implications.
- Recap agreed consequences and acceptance thresholds
- Customer accepts the fraud detection methodology and provides any additional rules/whitelists to incorporate.
- Quantify the expected reduction in invalid traffic and its projected effect on CPA/viewability.
- Agree on forensic logging, escalation path, and remediation SLA for invalid traffic discovered during the test.
- Customer to supply any existing fraud/blacklist feeds, known bad publishers, or previous forensic reports.
- Seller to deliver a 'filter rulebook' and a projected uplift model showing CPA/viewability after filtering.
- Ops to configure real-time alerts and a dispute resolution workflow for flagged impressions.
- One‑line recap of targeting problem and future state
- Customer validates contextual taxonomy and accepts the mapping to their KPIs.
- Agree expected first‑party match rates and the data sharing/privacy requirements for the test.
- Introductions & Objectives
- Customer to provide hashed first‑party audience file (schema and sample) and consent documentation.
- Seller to deliver a reach/match forecast and a contextual target list mapped to CPA expectations.
- Ops to configure household dedup settings for the test campaign and share expected reporting fields.
- One‑line recap of current state, consequence, future state
- Secure an explicit go/no‑go decision to run the $50,000, 30‑day test campaign.
- Confirm that each acceptance criterion is either met or has a documented mitigation and owner.
- Agree the immediate next steps, owners, and timeline to progress to Solution Scope and Mutual Commit.
- Customer to provide final go/no‑go decision and list any remaining blockers with required resolution date.
- Seller to prepare Solution Scope draft (modules, responsibilities, SLAs) and an initial commercial term sheet for the $50k test.
- Ops to schedule pre-deployment readiness tasks and lock dates for test launch if approved.
- Produce and record one-sentence current state that all participants validate.
- Quantify the business consequence of the current state with at least one metric (dollars, percent reach loss, or CPA uplift).
- Agree and document a one-sentence future state (desired operational outcome) to prove in the experience.
- Secure all required baseline logs, access credentials, and sample datasets before scenario walkthroughs.
- Customer to upload baseline campaign logs (impression, bid, win, creative, supply-path) to agreed storage and share access.
- Customer to provide baseline CPA, viewability, fraud rates, and any known blacklists/allowlists.
- Seller to prepare tailored scenario dataset and runbook for each walkthrough based on received logs.
- Schedule the three scenario walkthrough meetings (Supply Path, Fraud & Viewability, Targeting/CTV Dedup).
- One‑line recap: current state, consequence, future state
- Customer validates that the queryable logs accurately map impressions to intermediaries.
- Quantify expected intermediary fee reduction and its projected impact on CPA/eCPM.
- Agree on SP transparency SLA and what data/reporting will be delivered during the test.
- Seller to produce a full supply-path report for the proposed $50k test campaign, with per-impression fee breakdown.
- Show pre‑filter vs post‑filter impression counts (log-level)
- One‑Sentence Current State
- Live trace of sample impressions
- Summarize proofs: SP transparency, Fraud filtering, Targeting outcomes
- Contextual taxonomy mapping to KPIs
- Explain detection logic and evidence
- First‑party onboarding demo & match rates
- Quantify the Consequence
- Gap analysis & mitigation plan
- Cost Waterfall & Fee Attribution
- Model impact on CPA, pacing, and viewability
- Define One‑Sentence Future State
- Simulated audience delivery and CPA comparison
- Comparison: Current vs. Proposed Path
- Formal validation & sign‑off checklist
- Agree tuning, alerting, and forensics process
- Success Signals & Acceptance Criteria
- Next steps: Solution Scope & Mutual Commit schedule
- Validation & Exceptions
- CTV household dedup proof & frequency control
- Data governance & legal checklist
- Data & Access Checklist
- Roles, Timeline & Next Steps
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Solution Scope
Define solution modules (header-bid integrations, CTV household deduplication, fraud filters, contextual signals, data onboarding, and reporting logs) and responsibilities.
Scope Configuration
- Real-time Bidding Engine Activation
- Impression-Level Supply-Path Transparency Logs
- Header-Bid Integration for Top CTV Apps
- Household Deduplication for Linear and Streaming
- First-Party Data Ingestion and Target Activation
- Contextual Targeting Taxonomy Deployment
- Pre-bid Brand Safety and URL Filtering
- Real-time Fraud Detection and Bid Blocking
- Viewability Measurement and Active Optimization
- Cross-Channel Frequency Capping Enforcement
- Dynamic Creative Rendering and Ad Serving
- Private Marketplace Deal Setup and Execution
Scope Questions
Real-time Bidding Engine Activation
- Do you require activation of our real-time bidding engine for the 30-day test?
- Which inventory types should be enabled through RTB for the test?
- Which bid strategy should be applied during the test?
- What is the expected daily budget allocation to the RTB engine for the test?
- Do you need creative decisioning or dynamic selection at bid time (e.g., size/format fallbacks)?
- Please list any custom bid rules, blacklists/allowlists, or special bidding constraints to implement.
Impression-Level Supply-Path Transparency Logs
- Do you require impression-level supply-path transparency logs for the test campaign?
- Which fields must be present in each log line (select all required)?
- What delivery format do you prefer for logs?
- How frequently do you need log exports or streaming?
- What retention period is required for these logs?
- Are there any PII or redaction/compliance rules we should apply to logs?
Header-Bid Integration for Top CTV Apps
- Which CTV apps or publisher partners are priority targets for header-bid integrations during the test?
- Do you prefer client-side header-bid, server-to-server, or a hybrid integration?
- Do you have existing commercial agreements or whitelists with these CTV apps?
- What latency or throughput SLA is acceptable for header-bid responses?
- Which creative and ad spec formats must be supported (e.g., VAST version, VMAP)?
- Are there device or OS restrictions we should enforce for CTV integrations?
Household Deduplication for Linear and Streaming
- Is household-level deduplication required to de-duplicate linear and streaming impressions?
- Which identifiers will you provide or expect us to use for deduplication?
- What is your acceptable tolerance for false positives vs false negatives in deduplication?
- Do you require deduplication reports and match-rate diagnostics?
- What time-window should deduplication cover (e.g., 24-hour, 7-day)?
- Are there privacy or consent constraints that affect sharing of identifiers for deduplication?
First-Party Data Ingestion and Target Activation
- Do you plan to onboard first-party data for targeting during the test?
- What types of first-party data will you onboard?
- Which ingestion method do you prefer for onboarding?
- Do you require hashing or specific match-key formatting and provenance documentation?
- How should opt-outs and consent signals be enforced during activation?
- What is the expected audience size or segment cardinality for onboarded lists?
Contextual Targeting Taxonomy Deployment
- Which contextual taxonomy should we deploy for this campaign?
- What level of granularity do you require (broad categories vs highly granular topics)?
- Do you require real-time keyword/context scoring or batch category mapping?
- Are there specific brand-sensitive categories that must be excluded or flagged?
- Should contextual taxonomy be mapped to publisher content labels for reporting?
- What reporting granularity do you need for contextual performance?
Pre-bid Brand Safety and URL Filtering
- Is pre-bid brand safety filtering required for the test?
- Which vendor lists or approaches should we use for pre-bid filtering?
- What blocking strictness do you prefer?
- Do you require URL-level allowlist or blocklist management and approvals?
- How frequently should lists and filters be updated?
- Please list any known sensitive keywords, domains, or exclusions we must enforce.
Real-time Fraud Detection and Bid Blocking
- Do you require real-time fraud scoring and automatic bid blocking?
- Which fraud signal categories are highest priority?
- What threshold should trigger automatic bid blocking?
- Do you require integration with third-party fraud vendors or will platform signals suffice?
- Do you want forensic-level logs for impressions flagged as fraudulent?
- Do you need post-bid remediation (e.g., credits/refunds) for detected fraud?
Viewability Measurement and Active Optimization
- Do you require viewability measurement for the campaign?
- Which measurement vendor or method do you prefer?
- What minimum viewability threshold do you require for acceptance?
- Should we run active optimization to improve viewability during the test?
- What reporting cadence and granularity do you need for viewability (real-time, daily, creative-level)?
- Is MRC accreditation or a certified vendor required for viewability measurements?
Cross-Channel Frequency Capping Enforcement
- Do you require cross-channel frequency capping across display, video, and CTV?
- Which unit should frequency caps apply to?
- What cap values and time windows should be enforced (e.g., 3 impressions per 24 hours)?
- Are there exemptions for premium inventory or high-value impressions?
- Do you require reporting on frequency capping effectiveness and overlap metrics?
- What data sharing or identifier exchange is allowed to support cross-channel enforcement?
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Mutual Commit
Finalize commercial terms, the $50,000 test campaign agreement, SLAs for transparency, and legal/data obligations.
Agreement Modules
- Non-Disclosure Agreement (NDA)
- Master Services Agreement (MSA)
- Statement of Work (SOW) — Test Campaign
- Commercial Terms & Pricing Schedule
- Purchase Order / Invoicing & Payment Schedule
- Transparency & Log-Level Access SLA
- Data Processing Agreement (DPA) & Privacy Compliance
- Service Level Agreement (SLA) — Operational & Support
- Fraud & Brand-Safety Remediation Addendum
- Reporting, Audit & Attribution Rights
- IP, Audience & Data Ownership / Portability
- Termination, Renewal & Scale-Up Option
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Deployment
Operationalize rollout with readiness checks, enablement, and outcome validation.
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Pre-Deployment Readiness
Verify data access, tracking tags, allowlists/blocklists, publisher integrations, and brand-safety controls are in place.
Readiness Questions
Before We Dive In: Quick Readiness Pulse
- On a scale from “We could flip the switch today” to “Not remotely ready,” where does your team land right now?
- What’s the primary objective for this 30‑day test campaign (pick one)?
- Who is the day‑to‑day ops owner we’ll coordinate with (name, role, preferred contact)?
- What is your target go‑live date for the test?
What’s Really Stopping Launch Day?
- If we attempted to launch tomorrow, what single thing would most likely cause you to pause the campaign?
- Which of these has caused the most surprises on past launches?
- How long do last‑minute technical issues usually take your team to resolve?
- Describe a recent launch that went sideways — what happened and how did it affect trust with your stakeholders?
Who Holds the Keys: Data Access and Permissions
- Who currently holds the credentials or permissions we’ll need to access audience lists, CRM segments, or analytics logs?
- Which data sources do you expect us to ingest or query for the test?
- What is the current status of data‑sharing agreements and DPA/TOU approvals required for data onboarding?
- If we need a sample of log files or an API key to validate schema, where would we retrieve those from and who can provide them?
Tagging, Events, and Measurement Contracts — Are They Aligned?
- How confident are you that your existing tags and pixels accurately capture conversions and events across web and CTV?
- Which tags/pixels need to be present and validated before launch?
- Have you previously experienced discrepancies between server‑side logs and client‑side tags? If yes, how were they diagnosed?
- Please paste or describe the event contract for the primary conversion (event name, parameters, success criteria).
- Do you prefer a smoke test (small audience, minimal budget) or a full QA run prior to the 30‑day live test?
Where Your Budget Could Go — Supply Path & Publisher Controls
- How certain are you that current campaigns avoid reseller chains or multi‑hop inventory that inflate fees?
- Which publisher controls do you require for the test?
- Do you have a documented allowlist of domains/apps for this campaign? If so, how many entries and who maintains it?
- Which header‑bid or exchange integrations are mandatory to reach your target inventory (list vendors/apps)?
- Would you accept impressions that come via a reseller if the supply path and fees are fully disclosed in logs?
Brand Safety: The Red Lines and Gray Areas
- If a single creative showed next to objectionable content during the test, what is your immediate reaction threshold (pull creative, pause campaign, escalate to legal)?
- Which content categories must be blocked at all costs for this brand?
- What level of contextual matching do you require (exact semantic, topical, high‑level category) for safe placements?
- Which verification vendors or signals do you trust for brand safety (e.g., IAS, DoubleVerify, in-house classifiers)?
- How fast do you expect an incident response when a brand‑safety violation is detected (SLA)?
Fraud, Viewability, and the Logs You’ll Need
- Would you run this test without full queryable impression logs that show bid chain, publisher, and creative placement?
- Which log fields are non‑negotiable for your post‑campaign audit?
- What fraud threshold (e.g., % invalid traffic removed) would trigger a pause or renegotiation of acceptance criteria?
- Which viewability standard do you require for counting an impression (e.g., MRC 50%/1s, 100%/1s, custom)?
Operational Ownership — Who’s On Call When Things Go Off Script?
- If an alarm fires at 02:00 AM (fraud spike, tag failure, creative serving to blocked publisher), who gets paged and what is their expected response time?
- Which escalation path do you prefer for technical vs commercial issues?
- Do you have a change‑control policy that requires pre‑approval for mid‑campaign optimizations? If yes, how are changes authorized?
- How would you like real‑time monitoring delivered during the test (dashboard, Slack alerts, email digests, direct API)?
Sign‑offs, Legal, and Privacy — The Things We Can’t Ignore
- Which legal/privacy items must be completed before we can send live bids (DPA, CCPA/GDPR risk assessment, data pseudonymization confirmation)?
- Are there specific audience segments or PII rules that prohibit certain types of log exports or third‑party sharing?
- Who in your legal/privacy team must be included on release notes or incident reports during the test?
- If we discover a privacy or data leakage risk during QA, what is your required remediation timeframe?
Clear Acceptance Criteria — What Passes, What Fails
- What are the top three metrics that will decide whether this test is a success?
- Which of these acceptance gates must be met before we declare the test successful?
- If one critical gate fails but others succeed (e.g., CPA good but logs incomplete), what is your preferred path forward?
- Who has final sign‑off authority to move from test to scaled adoption?
Final Practicalities — Handover, Runbook and First 72 Hours
- If we handed you a single launch runbook, what three sections must be included to make it useful?
- What reporting cadence do you want in the first 72 hours (real‑time alerts, hourly checks, twice daily, daily summary)?
- Who should be on the initial post‑launch 24‑hour debrief call?
- What would make you feel confident that the first 72 hours were a success (practical signs, not just numbers)?
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Deployment Enablement
Schedule and run the test campaign with assigned ops owners, real‑time monitoring, and optimization playbooks.
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Validation Checklist
Audit log-level impressions, compare CPA/viewability/fraud-filtered impressions against baseline, and confirm acceptance criteria.
Validation Questions
Start With the Moment That Triggered This
- What specific event or realization made you decide to evaluate a new programmatic partner today?
- Tell us the brief story of that event—who saw it, what happened, and what the internal reaction was?
- Who is the executive sponsor or final approver for this evaluation (name and role)?
- What budget have you preliminarily carved out for a 30-day proof-of-performance test?
- How would you describe the urgency—is this a fire-drill, a strategic pivot, or exploratory?
Is “Transparency” Really What You’re Getting Today?
- How confident are you that every dollar in your current programmatic stack is traceable to a single publisher or SSP?
- List the DSPs, exchanges, and major intermediaries you currently run through (include reseller relationships if known).
- Approximately how many intermediaries (resellers, sub-SSPs, ad networks) typically touch a given impression for your campaigns?
- Have you ever been able to reconcile impression-level supply-path logs end-to-end? If yes, how often?
- Describe an example where supply-path opacity harmed either performance, attribution, or brand safety for you.
Where Is Your Media Budget Quietly Leaking Value?
- Do you have a sense of what percentage of your programmatic spend ends up in walled gardens or reseller margins?
- Have you identified specific partners that add material margin or latency (e.g., two-hop reseller chains)? If so, name them and estimate the impact.
- Which reporting style would make fee leakage and intermediary costs easiest for your finance team to consume?
- How would uncovering hidden intermediary fees change your ongoing buying strategy or vendor relationships?
- Which internal stakeholder cares most about reducing these leaks (e.g., CFO, Head of Programmatic, Procurement)?
Which Parts of Your Stack Keep You Up at Night?
- When was the last time you experienced a brand-safety incident on open exchange inventory and what was the fallout?
- What are your current measured fraud rates (e.g., invalid traffic, spoofing) and which vendor(s) provide those metrics?
- How are you currently targeting audiences post-cookie—select all that apply.
- Which of these problems costs you the most time or budget: cleaning fraudulent traffic, fixing viewability, or re-targeting lost audiences?
- Tell us about a time an optimization or vendor switch backfired—what went wrong and how long did it take to recover?
If We Could Measure Only Three Things, Which Ones Would Convince You?
- Which single performance metric would cause you to say the test 'won' (pick one).
- Select the full set of KPIs you want measured during the 30-day test (you can pick multiple).
- For each KPI you selected, list the numerical acceptance threshold or improvement target you consider a pass (e.g., CPA <= $X or viewability >= Y%).
- How do your baseline metrics (current DSP) compare to the targets you just set? Please provide numbers or estimates.
- Which KPI would you accept trading off slightly to achieve a bigger win in another area (for example, slightly higher CPA for substantially better supply-path clarity)?
How Much Visibility Is Truly ‘Enough’ For You?
- If you saw a per-impression log, which fields are non-negotiable for your team? (select all that apply)
- How soon after an impression must logs be available for your analysts to act (latency requirement)?
- Which delivery format is preferred for log ingestion into your systems?
- Are there legal, privacy or contractual constraints (e.g., GDPR, CCPA, publisher NDAs) that limit fields you can accept in logs? If so, explain.
- How would you like fee and intermediary data surfaced in your dashboards—aggregated summaries, drill-to-impression, or both?
What Would a 30-Day Test Have to Prove to Win Your Trust?
- If the test delivered cleaner supply-paths but no change in CPA, would you consider that a partial win or a non-starter? Explain why.
- Which campaign elements are fixed for the test (creative, landing pages, attribution window) and which can be adjusted during optimization?
- Who will be the day-to-day ops owner on your side for running and approving optimizations during the test?
- What reporting cadence and format will let your team make go/no-go decisions (e.g., daily dashboard + weekly deep dive)?
- Which outcomes would you label a 'deal-breaker' that would cause you to stop the test early?
Who's Driving the Decision—and What Keeps Them Up at Night?
- Who are the essential decision-makers and approvers for this engagement? Please name role and whether they sign final approval.
- Which internal team is most skeptical about moving budget off of existing vendors (e.g., brand, measurement, procurement)?
- What emotional or political risks do stakeholders worry about (e.g., a social media backlash, CFO pushback, vendor relationship fallout)?
- Have you run POCs like this before? If yes, name one prior POC that failed to convince stakeholders and the primary reason.
- What proof points (documents, dashboards, third-party attestations) would your procurement or legal teams require to move forward?
Imagine Snapping Your Fingers—What’s Different Six Months Later?
- Describe the ideal programmatic buy after you’ve adopted a transparent DSP—what does daily life look like for your team?
- How would success in this partnership change your media allocation across open web, CTV, and walled gardens?
- What capabilities would you want us to build or prioritize on the roadmap to keep scaling with you?
- If you could guarantee one long-term outcome from a new DSP, which would it be?
- How quickly would you aim to scale beyond the test if acceptance criteria are met?
Next Steps — Small Bets That Prove Big Signals
- Which of these readiness items can you confirm today to start the test: data access, tracking tags, allowlist, publisher integrations?
- Choose preferred start window for the 30-day test.
- Who will be our main operational contact (name, role, email) and who is backup?
- Which validation cadence do you prefer for log and KPI checks during the test?
- What would a realistic mutual deliverable look like at the end of the test to make a go/no-go decision?
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Success
Review outcomes versus targets, capture learnings, and maintain a shared channel for issues and enhancement requests.
Success Reviews
- Campaign Results Review
- Learnings & Optimization Workshop
- Commercial & Scale Decision Meeting
- Operational Retrospective & Technical Audit
- Handover & Governance: Shared Channel and Enhancement Requests
Issues & Enhancements
- Prepare and circulate contract amendment or SOW reflecting new spend, SLAs, and reporting cadence.
- Finance to issue internal approval and reallocate budget per agreed timeline.
- Schedule kickoff for scaled rollout with ops and analytics once contract is signed.
- Reproduce Reported Issues
- Publish SLA table and escalation matrix to the channel and documentation site.
- Assign a product owner and ops liaison for backlog triage and weekly prioritization meetings.
- Platform to create shared channel and post pinned runbook, error reporting template, and enhancement request form.
- Establish backlog governance and a regular cadence for roadmap/prioritization reviews.
- Agree on triage rules, SLAs, and an enhancement request workflow that both sides commit to.
- Create a shared, persistent communication channel with clear purpose and participants.
- Validate test outcomes against acceptance criteria with log-level evidence.
- Identify and agree on root causes for any metric variances.
- Share filtered log extract (representative impressions) and analysis workbook to all participants.
- Owner to produce a one-page acceptance decision memo summarizing vote and rationale.
- If remediation required, create remediation ticket with scope, timeline, and owner.
- Recap of Decisions from Results Review
- Introduction & Objectives
- Purpose & Participants
- Schedule a re-audit one week after remediation completion to validate fixes.
- Ops to publish updated runbooks and monitoring alert definitions.
- Engineering to deploy fixes and provide a patch notes summary with timestamps.
- Establish verification cadence to ensure fixes are effective before scaling.
- Translate findings into a prioritized, time-bound experiment backlog with owners.
- Ensure each experiment has clear success criteria tied to business impact.
- Agree on immediate operational changes to reduce brand-safety and fraud exposure.
- Publish prioritized experiment backlog with owners, hypotheses, metrics, and timelines.
- Implement agreed brand-safety and fraud filter adjustments and log the change history.
- Set up dashboards for the top experiment KPIs and schedule weekly monitoring check-ins.
- Financial Summary & ROI
- Ensure traceability from metric conclusions back to raw logs for auditability.
- Document operational gaps and assign remediation owners with deadlines.
- Confirm technical integrity of campaign instrumentation and logs.
- Decide acceptance status and immediate next steps with owners and dates.
- Obtain formal decision to scale or not, with commercial terms documented.
- Ensure legal/compliance requirements for scaling are identified and assigned.
- Agree on budget reallocation amounts and phased rollout timeline.
- Log Integrity & Data Quality Findings
- Current State Summary (one sentence)
- Top Learnings (diagnosis)
- Commercial Options & Pricing
- Issue Triage Workflow
- Operational Process Gaps
- Contract Amendments & Legal Checklist
- Hypotheses & Experiment Backlog
- Results vs Targets
- Enhancement Request Process
- Compliance & Privacy Review
- Supply-Path & Impression Provenance
- Budget Reallocation & Timeline
- Backlog Governance & Prioritization
- Risk & Brand-Safety Controls
- Escalation Matrix & SLA Commitments
- Prioritization & Resourcing
- Variance Analysis & Root Causes
- Approval & Next Steps
- Remediation Plan & Runbooks
- Consequence Quantification
- Success Criteria for Each Experiment
- Verification & Re-audit Schedule
- Access, Documentation & Knowledge Base