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Write the objective, accepted outcome and maximum learning loss for ad frequency.
Ad formats, campaign examples, targeting, retargeting and delivery quality
Ad Frequency: Build a Clear, Measurable Operating Plan
Ad frequency is the number of exposures associated with a person, device or identifier over a period, and it should be managed with distribution and outcome quality, not averages alone.
ad frequency
What does this page explain about Ad Frequency: Control Spend & Improve Performance?
Quick answer: Ad frequency is the number of exposures associated with a person, device or identifier over a period, and it should be managed with distribution and outcome. In an ad frequency workflow, this control is most valuable when confusing frequency with effective attention could otherwise make the reported result look stronger than the accepted business outcome. For ad frequency, apply the principle through a bounded test such as prospecting cap, and require frequency distribution to support the next budget decision. A practical ad frequency brief can operationalize this step with exposure-band analysis, while treating confusing frequency with effective attention as an explicit pre-launch risk.
| Section | Distinct excerpt from this page |
|---|---|
| What Ad Frequency means in practice | Ad Frequency is a measure of how often an eligible user or identifier is exposed to campaign advertising during a defined time window. |
| Relevance of Ad Frequency | The strongest plans connect measurement identity, time window, and campaign and creative level with frequency distribution, audience size, and outcome and fatigue signals. |
| Ad Frequency operating architecture | Exploration tests new prospecting cap, retargeting cap, and creative-level rotation under capped budgets. |
Reference for Ad Frequency: Control Spend & Improve Performance: Google Ads: Use frequency capping.
Direct answer. Ad frequency is the number of exposures associated with a person, device or identifier over a period, and it should be managed with distribution and outcome quality, not averages alone. A reliable plan defines the objective, accountable owner, eligibility rules, creative and landing experience, budget limits, measurement contract, accepted outcome and rollback condition before meaningful spend begins.
Key takeaways for Ad Frequency
- Define the accepted business outcome before evaluating ad frequency.
- Compare measurement identity, time window, and campaign and creative level under the same measurement contract.
- For Ad Frequency, preserve source, placement, audience, creative and change-level evidence in exportable records.
- Use average frequency, frequency distribution, and unique reach as diagnostics, then reconcile accepted value.
- For Ad Frequency, scale only when marginal quality and economics remain inside the approved decision boundary.
What Ad Frequency means in practice
Ad Frequency is a measure of how often an eligible user or identifier is exposed to campaign advertising during a defined time window. The useful operating definition is narrower than a dictionary label: it states what decision the activity supports, which inputs are allowed, how eligibility is determined and what evidence is required before the result receives credit.
For ad frequency, the practical job is to help advertisers set, monitor and interpret frequency without assuming a universal ideal number. That means separating the media action from the business outcome. Delivery, reach, impressions and clicks describe activity; accepted leads, completed purchases, retained customers or another approved business state describe value.
A strong ad frequency plan begins with a boundary document. Record the accountable owner, target audience or context, approved markets, permitted data, chosen formats, conversion definition, attribution window, maximum learning loss and rollback trigger. The document prevents a platform default from silently becoming the strategy.
Why Ad Frequency matters
The main value of ad frequency is decision clarity. Teams can compare options only when the comparison uses the same objective, time window, maturity rule and economic definition. Without that contract, a lower reported cost may simply reflect a different event, weaker quality or incomplete conversion maturity.
The strongest plans connect measurement identity, time window, and campaign and creative level with frequency distribution, audience size, and outcome and fatigue signals. These elements interact. A useful audience can fail with the wrong creative, a strong format can fail on unsuitable placements, and an apparently efficient campaign can fail after rejected outcomes and reversals are included.
Use ad frequency as a controlled learning system. The first launch should be narrow enough to explain, the change log should preserve every material decision, and the reporting should show both the platform result and the accepted business result. Scale is earned by repeated evidence, not by one favorable dashboard interval.
Ad Frequency operating architecture
Build the ad frequency architecture in layers. Start with the commercial objective and accepted outcome, then define the audience or context, select the format and placement, prepare the offer and landing path, set budget and bid controls, and finish with measurement, exclusions and stop rules. Each layer needs an owner and a validation step.
Use stable names for campaigns, audiences, creatives, placements and test versions. Stable identifiers allow exports from the buying platform, analytics and business systems to be joined later. They also make it possible to distinguish a real improvement from a naming change, copied campaign or altered attribution setting. In an ad frequency workflow, this control is most valuable when confusing frequency with effective attention could otherwise make the reported result look stronger than the accepted business outcome.
Separate exploration from exploitation. Exploration tests new prospecting cap, retargeting cap, and creative-level rotation under capped budgets. Exploitation allocates more delivery to combinations that have passed quality and economic checks. Combining both modes in one undifferentiated campaign hides where the learning budget went.
Connect the guide to live testing
Connect Ad Frequency to a controlled audience test
Use the choices established in “Ad Frequency operating architecture” to define one audience, budget and source set in FroggyAds. Keep the surrounding offer and measurement rule stable so the test adds evidence to ad frequency instead of mixing several changes at once.
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Ad Frequency decision scorecard
For Ad Frequency, credit a decision layer only after it has a named owner, an operating control and exportable evidence.
| Decision layer | Operating requirement | Evidence required |
|---|---|---|
| Measurement Identity | Define the decision, input, control and exception path for measurement identity. | Written definition, owner and approval boundary. |
| Time Window | Define the decision, input, control and exception path for time window. | Exportable setup, exclusions and change log. |
| Campaign And Creative Level | Define the decision, input, control and exception path for campaign and creative level. | Creative and landing continuity evidence. |
| Frequency Distribution | Define the decision, input, control and exception path for frequency distribution. | Source or cohort reporting with quality review. |
| Audience Size | Define the decision, input, control and exception path for audience size. | Reconciled analytics and business outcomes. |
| Outcome And Fatigue Signals | Define the decision, input, control and exception path for outcome and fatigue signals. | Marginal scale result with rollback readiness. |
Special considerations for Ad Frequency
Delivery quality for ad frequency depends on how the platform identifies users, placements, creative states and measurable events. Record these technical boundaries before interpreting the result. Identity approximation, unavailable signals and unmeasurable inventory should remain visible in reporting.
Evaluate distribution, not only averages. Break results into exposure bands, placements, devices, creative variants, audience stages and time. The distribution often reveals saturation, low-viewability inventory, broken dynamic combinations or a small cohort carrying the entire blended result. The ad frequency review should therefore connect time window with negative or declining engagement, a named owner and a dated change record.
Use automation within guardrails. Approved inputs, fallback creative, caps, exclusions, source review and rollback protect the campaign when a model or delivery system behaves differently from the forecast. Automation should expand controlled decisions, not remove accountability. For ad frequency, apply the principle through a bounded test such as prospecting cap, and require frequency distribution to support the next budget decision.
Seven-step implementation workflow
Map eligibility
For Ad Frequency, document the audience, context, placement, GEO, device or prior behavior that makes delivery eligible.
Prepare the experience
For Ad Frequency, build format-specific assets, proof, call to action and a landing path that continues the same promise.
Validate measurement
For Ad Frequency, test delivery, analytics, conversion, acceptance, deduplication and delayed states end to end before campaign decisions depend on reporting.
Launch a bounded test
For Ad Frequency, set explicit test budgets, bid ranges, exclusions, frequency limits and dated review checkpoints before delivery begins.
Diagnose by cohort
For Ad Frequency, compare source, placement, audience, device, creative and exposure-level quality before keep, cap, exclude or retest decisions.
Scale or rollback
For Ad Frequency, expand one controlled dimension when marginal economics pass; otherwise return to the last stable configuration.
Creative, offer and landing continuity
Creative for ad frequency should make one credible promise to one recognizable audience state. The headline or opening frame identifies the problem or opportunity, the supporting element supplies proof, and the call to action describes the next step. Avoid claims that the landing page cannot substantiate.
Prepare variations around meaningful hypotheses rather than cosmetic changes. Test a different proof point, customer problem, product benefit, objection, offer structure or format adaptation. Preserve enough consistency that the team can identify which idea changed response quality. In an ad frequency workflow, this control is most valuable when cookie and device limitations could otherwise make the reported result look stronger than the accepted business outcome.
Landing continuity is part of the creative system. The destination should repeat the same terminology, offer and expectation introduced in the ad. If ad frequency produces clicks but the landing page changes the promise, hides the action or loads poorly on the target device, the campaign is not ready for scale.
Choose the execution format
Choose a paid-media format that supports Ad Frequency
Use the criteria around “Creative, offer and landing continuity” to decide whether push, native, display or pop fits the message and destination. Set format, targeting and spend as campaign controls in FroggyAds while the ad frequency decision remains the standard for judging the result.
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Measurement contract and reconciliation
Measure ad frequency through a chain rather than a single rate: eligible delivery, measurable exposure, qualified interaction, landing completion, primary conversion, accepted outcome and realized value. The chain reveals where volume becomes unusable and prevents a strong top-line metric from masking downstream weakness.
The core reporting set includes average frequency, frequency distribution, unique reach, incremental response by exposure band, cost, and negative or declining engagement. Define each metric's numerator, denominator, data source, time zone, currency, attribution rule and maturity window. Where a platform metric cannot be reproduced from exportable evidence, label the limitation instead of presenting false precision.
Reconcile platform, analytics and business records on a regular schedule. Differences are expected because systems use different identity, attribution and validation rules. Unexplained differences should block aggressive scale until the team knows whether the variance comes from tracking, delayed events, duplicates, rejected outcomes or reversals. The ad frequency review should therefore connect frequency distribution with frequency distribution, a named owner and a dated change record.
Metrics, definitions and diagnostic risks
For Ad Frequency, define every decision metric with a numerator, denominator, source, reporting window, currency, attribution rule and maturity condition.
| Metric | Definition requirement | Diagnostic check |
|---|---|---|
| Average Frequency | State numerator, denominator, source, time window, currency and maturity rule. | Check for using only the average before the metric receives decision credit. |
| Frequency Distribution | State numerator, denominator, source, time window, currency and maturity rule. | Check for small retargeting pools before the metric receives decision credit. |
| Unique Reach | State numerator, denominator, source, time window, currency and maturity rule. | Check for cross-campaign duplication before the metric receives decision credit. |
| Incremental Response By Exposure Band | State numerator, denominator, source, time window, currency and maturity rule. | Check for cookie and device limitations before the metric receives decision credit. |
| Cost | State numerator, denominator, source, time window, currency and maturity rule. | Check for setting caps without outcome data before the metric receives decision credit. |
| Negative Or Declining Engagement | State numerator, denominator, source, time window, currency and maturity rule. | Check for confusing frequency with effective attention before the metric receives decision credit. |
Budget, economics and break-even control
Set the economic boundary for ad frequency before launch. Estimate expected value per accepted outcome, gross margin, operating capacity, refund or rejection risk and the maximum loss allowed for learning. The budget becomes a controlled experiment only when the team knows what would make the test financially acceptable or unacceptable.
Use a break-even relationship that the business can audit: maximum acquisition cost equals expected contribution per accepted outcome multiplied by the probability that the measured event becomes that accepted outcome. Replace broad platform conversion counts with the state that actually creates value. The ad frequency review should therefore connect time window with negative or declining engagement, a named owner and a dated change record.
Evaluate marginal performance when scaling. Average cost can remain attractive while the newest spend enters weaker audiences, placements or frequency bands. Compare the next budget increment with the approved threshold and keep the prior configuration available for rollback. For ad frequency, apply the principle through a bounded test such as prospecting cap, and require frequency distribution to support the next budget decision.
Quality, privacy, accessibility and governance
Quality control for ad frequency includes inventory review, placement evidence, invalid-activity monitoring, creative compliance, landing integrity and outcome acceptance. No single vendor label proves quality. The buyer needs source-level or cohort-level evidence that can be connected to business results.
Privacy and governance are design inputs, not final checkboxes. Use only permitted data, minimize unnecessary identifiers, document membership and deletion rules, and avoid inferring sensitive personal characteristics. A targeting or retargeting feature should be rejected when the business purpose does not justify the data use. A practical ad frequency brief can operationalize this step with exposure-band analysis, while treating confusing frequency with effective attention as an explicit pre-launch risk.
Accessibility supports both user value and campaign reliability. Text, contrast, motion, controls and landing forms should remain understandable across devices and assistive technologies. Deceptive interaction patterns may increase accidental clicks while reducing trust and accepted outcomes. In an ad frequency workflow, this control is most valuable when small retargeting pools could otherwise make the reported result look stronger than the accepted business outcome.
Common failure modes and diagnostic order
The common failure modes for ad frequency include using only the average, small retargeting pools, and cross-campaign duplication. These failures often look like media problems but originate in planning, data or measurement. Diagnose the earliest broken stage before changing bids or increasing creative volume.
A second group of risks includes cookie and device limitations, setting caps without outcome data, and confusing frequency with effective attention. Protect the campaign with exclusions, budget limits, named owners, change logs and predefined stop conditions. The goal is not to eliminate uncertainty; it is to keep uncertainty visible and financially bounded.
When results weaken, compare the current period with a stable cohort. Check tracking, audience or placement mix, frequency distribution, creative age, landing performance, conversion lag and accepted-outcome rules. A disciplined diagnostic sequence prevents a team from solving the wrong problem. In an ad frequency workflow, this control is most valuable when confusing frequency with effective attention could otherwise make the reported result look stronger than the accepted business outcome.
Put the guide into practice
Turn Ad Frequency into a bounded campaign test
With “Common failure modes and diagnostic order” documented, launch only the next reversible test. Set a spending limit, preserve the baseline and use source-level and audience controls so the next step depends on qualified outcomes for ad frequency, not activity volume.
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Failure-mode response cards
Using Only The Average
For ad frequency, this failure weakens evidence or business quality. Record the earliest observable signal, the accountable owner, the corrective action and the condition that confirms recovery before spend is expanded.
Small Retargeting Pools
Cross-Campaign Duplication
Cookie And Device Limitations
Setting Caps Without Outcome Data
Confusing Frequency With Effective Attention
30-day controlled rollout
Days 1–4: contract and instrumentation
Freeze the ad frequency definition, outcome state, conversion map, source naming, exclusions and initial budget. Test events from impression or eligibility through accepted business outcome.
Days 5–10: controlled delivery
Launch a narrow ad frequency test with a stable control. Review pacing, placements, audience overlap, creative rendering, landing performance and early quality signals without overreacting to small samples.
Days 11–20: diagnostic tests
For Ad Frequency, diagnose one issue at a time with a meaningful creative, targeting, placement, bid or landing hypothesis while preserving a control and waiting for conversion maturity.
Days 21–30: marginal scale decision
For Ad Frequency, reconcile accepted outcomes before each budget increase; expand one dimension only when the evidence is reproducible and operating capacity can support it.
Scaling without losing evidence
Scale ad frequency one controlled dimension at a time. Expand budget, audience, geography, format, placement or creative inventory separately enough that the effect can be observed. Preserve a control and compare marginal outcomes, not only the blended account average.
A valid scale decision requires capacity as well as media efficiency. Confirm that sales, fulfillment, support, inventory, payment and compliance systems can absorb the expected outcome volume. Media that exceeds operational capacity may create lower-quality service, refunds or rejected leads that erase the apparent gain. The ad frequency review should therefore connect time window with negative or declining engagement, a named owner and a dated change record.
Keep rollback simple. Store the last stable settings, creative set, audience rules and exclusions. If marginal cost, quality, tracking variance or operational load crosses the approved threshold, return to the stable configuration and investigate before another expansion. For ad frequency, apply the principle through a bounded test such as prospecting cap, and require frequency distribution to support the next budget decision.
Where FroggyAds fits
FroggyAds can support ad frequency when the plan benefits from self-serve access to multiple paid formats, source controls and campaign-level optimization. The platform connects advertisers with inventory from 750+ SSP integrations and lets buyers manage targeting, bids, budgets, source IDs and creative tests from one account.
Use FroggyAds as the execution layer, not as a substitute for the operating contract. Bring a defined objective, approved creative, landing page, tracking plan, exclusions and accepted outcome. Start with a bounded test, review source-level evidence and expand only after the business result is reconciled. A practical ad frequency brief can operationalize this step with exposure-band analysis, while treating confusing frequency with effective attention as an explicit pre-launch risk.
The minimum deposit is $50, while a useful learning budget depends on format, market, bid level, conversion rate and the evidence needed for a decision. Avoid treating a minimum funding amount as a recommendation or a guarantee of statistically stable results. In an ad frequency workflow, this control is most valuable when small retargeting pools could otherwise make the reported result look stronger than the accepted business outcome.
Frequently asked questions
When should a campaign actively manage ad frequency?
Manage frequency when the same eligible person can receive repeated impressions and additional exposure may change cost, recall, irritation, or response. The suitable level depends on message, buying cycle, placement, audience, and measurement quality rather than one universal cap.
How can a team set an initial frequency rule?
Choose a conservative impression limit and time window from campaign duration, customer decision speed, creative variety, and service capacity. Record the rule before launch, then review reach, repeated exposure, qualified actions, and negative signals by cohort instead of optimising from impressions alone.
Which costs are affected by advertising frequency?
Repeated delivery consumes media, increases the need for creative rotation and review, and can add customer-service or brand cost when the message becomes intrusive. Compare incremental accepted value at higher exposure bands with the complete spend and operating burden.
How should frequency differ across audience groups?
Separate new prospects, recent visitors, customers, converters, and suppressed groups when permission and platform controls allow it. Their information needs and tolerance can differ, so use observed response and exclusion logic rather than applying the same repetition to every eligible person.
How can creative rotation support sensible frequency?
Rotate genuinely different explanations or proof only when each remains accurate and useful to the same customer decision. Cosmetic changes do not erase repeated exposure; preserve a shared campaign-level view so the team understands the total message pressure a person may receive.
What must be verified before frequency controls go live?
Check identity logic, device limitations, time-zone handling, campaign overlap, exclusions, conversion suppression, consent, reporting, and emergency pause. Run controlled accounts through expected impression sequences to confirm the platform applies the chosen cap rather than merely displaying it in settings.
Which measures reveal useful or excessive repetition?
Review unique reach, exposure distribution, qualified response by frequency band, accepted conversions, later value, cost, opt-outs, complaints, and brand feedback. Avoid reading a converted user's final impression count as causal proof, because exposure often accumulates around already interested people.
How should falling response at high frequency be investigated?
Check audience saturation, placement concentration, creative age, message relevance, purchase completion, suppression delay, and tracking accuracy. Reduce avoidable repetition or refresh the decision value before raising bids; more exposures rarely repair an offer customers have already declined.
What frequency guardrails protect customers and spend?
Use campaign and account limits, converter suppression, sensitive-audience exclusions, cross-campaign review, complaint alerts, creative expiry, and a tested pause. Document exceptions with an owner so urgent campaigns cannot quietly become permanent high-pressure delivery.
When can a frequency setting be changed with confidence?
Adjust one band or time window after enough mature cohorts show a consistent relationship among exposure, accepted outcomes, cost, and negative feedback. Recheck by placement and audience, then monitor the new rule before extending it across unrelated campaigns.
Official sources used for this guide
For Ad Frequency, use current primary platform, industry-standard and accessibility documentation; verify interfaces, policy terms, implementation steps and terminology before launch.
Ad Frequency operating worksheet
Use the Ad Frequency worksheet to turn guidance into a documented process with a named owner, evidence requirement, decision rule, rollback point and review date.
Definition and measurement rules
Write the operational definition for ad frequency before choosing a dashboard. Name the event, denominator, eligibility rule, attribution scope, time zone, currency and data owner. The assigned keyword wording is ad frequency; those phrases must resolve to one canonical decision boundary rather than competing calculations.
For Ad Frequency, keep evidence exportable, reproducible and clear enough for a reviewer who did not configure the campaign.
Audience, context and exclusion map
Document why each signal is relevant to ad frequency, how it is collected or inferred, how long it remains valid and which exclusions prevent waste or policy risk. Mark overlap between prospecting, retargeting, customer and suppression groups so the same user state is not purchased repeatedly without intent.
Creative and landing contract
List every approved promise, proof source, format adaptation, call to action and landing destination for ad frequency. Include size or device constraints, fallback creative, accessibility checks and the owner who can withdraw a claim or asset when the underlying evidence changes.
Forecast and failure scenario
Model conservative, expected and upside cases for ad frequency using transparent assumptions for eligible reach, price, response quality, conversion maturity and accepted value. Add a failure case with the maximum learning loss, earliest reliable signal and conditions that stop delivery.
Source and cohort evidence
Preserve campaign, audience, placement, publisher or source, device, geography, creative and time identifiers where the buying environment allows it. When a dimension is unavailable, record the limitation and avoid quality claims that require evidence the platform does not provide. A practical ad frequency brief can operationalize this step with exposure-band analysis, while treating confusing frequency with effective attention as an explicit pre-launch risk.
Measurement reconciliation
Create a reconciliation table for ad frequency with platform delivery, analytics events, business outcomes, variance, known cause, unresolved amount and accountable owner. Use the same time zone, currency and maturity window before comparing systems.
Change log and experiment record
For every material change to ad frequency, record the observed problem, hypothesis, exact change, start time, expected signal, minimum evidence, result and rollback decision. This record protects learning across operators, agencies and copied campaigns.
Scale and rollback checklist
Before expanding ad frequency, confirm that marginal economics pass, inventory or audience quality remains stable, frequency is controlled, creative coverage is sufficient, operations can absorb outcomes and the previous stable configuration can be restored quickly.
Launch a controlled paid-media test
For the paid-acquisition side of Ad Frequency, FroggyAds provides self-serve campaign controls, source-level reporting, conversion tracking and budget ownership.
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Ad Frequency: Build a Clear, Measurable Operating Plan: the decision this URL owns
The purpose of Ad Frequency: Build a Clear, Measurable Operating Plan is to help a performance advertiser make a controlled next-step decision: understand the control and decide when to use it. Every setup and measurement choice on this page should support that decision.
URL boundary for Ad Frequency: Build a Clear, Measurable Operating Plan: This URL owns Ad Frequency: Build a Clear, Measurable Operating Plan; Frequency Capping In Advertising is the nearest neighboring topic and should keep its separate task. Use this page only for the decision implied by Ad Frequency: Build a Clear, Measurable Operating Plan.
Decision inputs for Ad Frequency: Build a Clear, Measurable Operating Plan: campaign objective, source quality, source evidence, conversion tracking. Keep these inputs tied to accepted conversion or business-value event and the page-specific job: understand the control and decide when to use it.
What Ad Frequency means in practice is the measurement checkpoint for this URL. Resolve “How can a team set an initial frequency rule?” while retaining source quality, conversion tracking, spend and cohort age so the result can be reconciled with accepted conversion or business-value event.
Key takeaways for Ad Frequency is an evidence checkpoint for Ad Frequency: Build a Clear, Measurable Operating Plan. To answer “When should a campaign actively manage ad frequency?”, keep campaign objective in the same campaign record and use it to understand the control and decide when to use it.
Why Ad Frequency matters is the action checkpoint for Ad Frequency: Build a Clear, Measurable Operating Plan. Before acting on “Which costs are affected by advertising frequency?”, document source evidence, the resulting campaign action and the rollback or retest condition.
| Page checkpoint | How to use it | Evidence to retain |
|---|---|---|
| Key takeaways for Ad Frequency | Use Key takeaways for Ad Frequency to establish the first evidence boundary for Ad Frequency: Build a Clear, Measurable Operating Plan; then record which part of campaign objective, targeting, source evidence, conversion tracking and economics it changes. | Keep campaign objective, source/campaign ID and the accepted-event definition together. |
| What Ad Frequency means in practice | Use What Ad Frequency means in practice as the second checkpoint and reconcile it with accepted conversion or business-value event before changing budget or source allocation. | Retain source quality, spend, timestamp/cohort age and accepted/rejected outcomes. |
| Why Ad Frequency matters | Use Why Ad Frequency matters as the final checkpoint: if it does not change the evidence for accepted conversion or business-value event, keep the test narrow rather than scaling. | Document source evidence, the decision taken and the rollback or retest condition. |
Transparent Ad Frequency: Build a Clear, Measurable Operating Plan decision example
Hypothetical example: For Ad Frequency: Build a Clear, Measurable Operating Plan, a hypothetical controlled cell that spends USD 310 and records 12 accepted conversion or business-value event after the same maturity window has an accepted cost of USD 25.83 per outcome. Replace the figures, outcome and review window with your own economics; this is not a FroggyAds performance claim.
Why use FroggyAds here?
For the controlled test described by Ad Frequency: Build a Clear, Measurable Operating Plan, FroggyAds lets you manage paid delivery, targeting and source actions while your accepted-event data decides whether the cell should be kept, capped or expanded. Create your free FroggyAds account.
Direct answer
Ad Frequency: Build a Clear, Measurable Operating Plan — what matters first
Ad Frequency: Build a Clear, Measurable Operating Plan is a campaign-control decision: state the problem the control solves, define the rule before enabling it, and measure its effect on delivery and accepted outcomes.