ANALYSIS FRAMEWORK

Display Marketing Analysis: Metrics, Evidence and Decision Rules

Analyze display marketing with 20 evidence layers, metric definitions, segmentation, causal limits, scenarios and decision rules without invented benchmarks or guaranteed outcomes. Here, Display Marketing Analysis: Metrics, Evidence and Decision Rules is the operating context for the task to understand the concept and apply it to a concrete campaign decision.

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20Analysis layers

10Workflow steps

8Quality dimensions

12Primary sources

DIRECT ANSWER

What is display marketing analysis?

Display Marketing analysis turns evidence about inventory quality, audience selection, creative, viewability and frequency into an explicit decision framework. It defines metrics, segments, baselines, uncertainty, causal limits and action rules so display lead, creative owner and analytics partner can decide what to test, stop, protect or scale without treating correlation as proof of viewable qualified reach, assisted actions and incremental lift.

What this page owns

This page owns the analysis interpretation metrics segmentation causality scenarios and decisions, distinct from audit definition research strategy guide statistics dashboard and report intent. It does not replace the display marketing definition, audit, strategy, guide, checklist, cost, consultant, expert, statistics or report pages. Within the What this page owns step, use this point to understand the concept and apply it to a concrete campaign decision. The adjacent Display Marketing Course page covers a different decision.

Evidence standard

Treat Evidence standard as a specific gate for Display Marketing Analysis: Metrics, Evidence and Decision Rules, not as a reusable checklist item that means the same thing on every page. The evidence record should make dated, records, explicit, definitions, named and owners visible instead of hiding them inside a blended score or an unexplained recommendation. Keep the baseline unchanged while testing the next hypothesis; that comparison is what makes the decision reproducible. Use FroggyAds to test the media assumption that follows from this section, not to replace the evidence the section requires. Campaign controls support the decision; they do not manufacture proof.

Primary operating context

The Display Marketing framework is specific to visual reach and demand support, including inventory quality, audience selection, creative, viewability and frequency. The intended decision and knowledge owners are display lead, creative owner and analytics partner, supported by analytics, privacy, legal, accessibility, technical and commercial stakeholders where relevant.

Primary risk context

Special attention in Display Marketing is required for invalid traffic, frequency waste and weak placement controls. Conclusions must distinguish observed evidence from interpretation, then state confidence, boundary conditions and the smallest responsible next step.

DECISION QUESTION

Decision question for Display Marketing

Purpose and boundary

The decision question layer defines how Display Marketing analysis interprets the exact choice, budget, sequence or operating rule the analysis must support. For display marketing, this control must be interpreted through visual reach and demand support, with particular attention to inventory quality, audience selection, creative, viewability and frequency. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

Evidence and method

For Display Marketing, connect visual reach and demand support to observable evidence across inventory quality, audience selection, creative, viewability and frequency. Compare segments only when a credible mechanism exists and the volume is sufficient for the decision. Keep descriptive patterns separate from causal claims, and document how missing data, selection effects, platform changes or invalid traffic, frequency waste and weak placement controls could alter the result.

Failure and sensitivity tests

Run sensitivity checks for Display Marketing layer 1. Recalculate the decision question conclusion with alternative denominators, attribution rules, quality thresholds, time windows and segment boundaries. Test whether another plausible explanation can produce the same pattern and whether the direction remains useful under reasonable assumptions. For this Display Marketing Analysis: Metrics, Evidence and Decision Rules workflow, read the point through Failure and sensitivity tests and the goal to understand the concept and apply it to a concrete campaign decision.

Decision and ownership

Convert the Display Marketing decision question result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 1 only when the decision question conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

UNIT OF ANALYSIS

Unit of analysis for Display Marketing

The unit of analysis layer defines how Display Marketing analysis interprets the person, account, session, message, campaign, cohort or qualified outcome being compared. Within a display marketing review, the practical consequence is whether viewable qualified reach, assisted actions and incremental lift can be connected to named owners such as display lead, creative owner and analytics partner. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

Run sensitivity checks for Display Marketing layer 2. Recalculate the unit of analysis conclusion with alternative denominators, attribution rules, quality thresholds, time windows and segment boundaries. Test whether another plausible explanation can produce the same pattern and whether the direction remains useful under reasonable assumptions. Keep the interpretation anchored to Unit of analysis for Display Marketing: the buyer still needs to understand the concept and apply it to a concrete campaign decision. The adjacent Display Marketing Course page covers a different decision.

Convert the Display Marketing unit of analysis result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 2 only when the unit of analysis conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

METRIC DICTIONARY

Metric dictionary for Display Marketing

The metric dictionary layer defines how Display Marketing analysis interprets formulas, numerators, denominators, windows, exclusions and quality thresholds. The Display Marketing evidence register should explicitly surface invalid traffic, frequency waste and weak placement controls rather than hiding uncertainty inside a blended score. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

Run sensitivity checks for Display Marketing layer 3. Recalculate the metric dictionary conclusion with alternative denominators, attribution rules, quality thresholds, time windows and segment boundaries. Test whether another plausible explanation can produce the same pattern and whether the direction remains useful under reasonable assumptions. Here, Metric dictionary for Display Marketing is the operating context for the task to understand the concept and apply it to a concrete campaign decision.

Convert the Display Marketing metric dictionary result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 3 only when the metric dictionary conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

DATA PROVENANCE

Data provenance for Display Marketing

The data provenance layer defines how Display Marketing analysis interprets systems, exports, timestamps, joins, owners and known collection limitations. Use inventory audit, creative plan and frequency governance as the topic-specific deliverable for control 4: data provenance. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

Run sensitivity checks for Display Marketing layer 4. Recalculate the data provenance conclusion with alternative denominators, attribution rules, quality thresholds, time windows and segment boundaries. Test whether another plausible explanation can produce the same pattern and whether the direction remains useful under reasonable assumptions.

Convert the Display Marketing data provenance result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 4 only when the data provenance conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

Connect the guide to live testing

Connect Display Marketing Analysis to a controlled audience test

Use the choices established in “Data provenance for Display Marketing” to define one audience, budget and source set in FroggyAds. Keep the surrounding offer and measurement rule stable so the test adds evidence to display marketing analysis instead of mixing several changes at once.

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Illustration of audience targeting controls for a display marketing analysis test

BASELINE CONSTRUCTION

Baseline construction for Display Marketing

The baseline construction layer defines how Display Marketing analysis interprets comparison state, seasonality, pre-period behavior and external demand context. For display marketing, this control must be interpreted through visual reach and demand support, with particular attention to inventory quality, audience selection, creative, viewability and frequency. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

Treat Baseline construction for Display Marketing as a specific gate for Display Marketing Analysis: Metrics, Evidence and Decision Rules, not as a reusable checklist item that means the same thing on every page. Document sensitivity, checks, layer, Recalculate, baseline and construction in the same decision record so a later reviewer can see why the option passed, failed or needs a narrower retest. Connect the finding to one owner and one next action so the page helps the visitor decide rather than merely describing a process. Use FroggyAds to test the media assumption that follows from this section, not to replace the evidence the section requires. Campaign controls support the decision; they do not manufacture proof.

Convert the Display Marketing baseline construction result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 5 only when the baseline construction conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

AUDIENCE SEGMENTATION

Audience segmentation for Display Marketing

The audience segmentation layer defines how Display Marketing analysis interprets meaningful groups, eligibility, exclusions, overlap and sample-size safeguards. Within a display marketing review, the practical consequence is whether viewable qualified reach, assisted actions and incremental lift can be connected to named owners such as display lead, creative owner and analytics partner. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

Make Audience segmentation for Display Marketing specific to Display Marketing Analysis: Metrics, Evidence and Decision Rules by tying it to the exact workflow, audience or commercial constraint described on this page. Preserve the source, date and owner for sensitivity, checks, layer, Recalculate, audience and segmentation whenever they affect the decision, especially when the page compares options or sets a budget boundary. Connect the finding to one owner and one next action so the page helps the visitor decide rather than merely describing a process.

Convert the Display Marketing audience segmentation result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 6 only when the audience segmentation conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

JOURNEY SEGMENTATION

Journey segmentation for Display Marketing

The journey segmentation layer defines how Display Marketing analysis interprets discovery, evaluation, conversion, onboarding, retention and failure states. The Display Marketing evidence register should explicitly surface invalid traffic, frequency waste and weak placement controls rather than hiding uncertainty inside a blended score. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

Run sensitivity checks for Display Marketing layer 7. Recalculate the journey segmentation conclusion with alternative denominators, attribution rules, quality thresholds, time windows and segment boundaries. Test whether another plausible explanation can produce the same pattern and whether the direction remains useful under reasonable assumptions.

Convert the Display Marketing journey segmentation result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 7 only when the journey segmentation conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

CHANNEL CONTRIBUTION

Channel contribution for Display Marketing

The channel contribution layer defines how Display Marketing analysis interprets assigned roles, assisted paths, duplicated exposure and substitution effects. Use inventory audit, creative plan and frequency governance as the topic-specific deliverable for control 8: channel contribution. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

Run sensitivity checks for Display Marketing layer 8. Recalculate the channel contribution conclusion with alternative denominators, attribution rules, quality thresholds, time windows and segment boundaries. Test whether another plausible explanation can produce the same pattern and whether the direction remains useful under reasonable assumptions.

Convert the Display Marketing channel contribution result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 8 only when the channel contribution conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

CREATIVE AND MESSAGE PATTERN

Creative and message pattern for Display Marketing

The creative and message pattern layer defines how Display Marketing analysis interprets theme, format, evidence, fatigue, accessibility and downstream quality. For display marketing, this control must be interpreted through visual reach and demand support, with particular attention to inventory quality, audience selection, creative, viewability and frequency. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

A buyer evaluating Display Marketing Analysis: Metrics, Evidence and Decision Rules can use Creative and message pattern for Display Marketing to make the page actionable: identify the condition, document the evidence, and define the response. The evidence record should make sensitivity, checks, layer, Recalculate, creative and message visible instead of hiding them inside a blended score or an unexplained recommendation. Use the finding to choose a specific action—keep, cap, exclude, renegotiate, retest or stop—rather than recording a score with no operational consequence.

Convert the Display Marketing creative and message pattern result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 9 only when the creative and message pattern conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

DESTINATION PERFORMANCE

Destination performance for Display Marketing

The destination performance layer defines how Display Marketing analysis interprets continuity, relevance, speed, usability, accessibility and conversion integrity. Within a display marketing review, the practical consequence is whether viewable qualified reach, assisted actions and incremental lift can be connected to named owners such as display lead, creative owner and analytics partner. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

Run sensitivity checks for Display Marketing layer 10. Recalculate the destination performance conclusion with alternative denominators, attribution rules, quality thresholds, time windows and segment boundaries. Test whether another plausible explanation can produce the same pattern and whether the direction remains useful under reasonable assumptions.

Convert the Display Marketing destination performance result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 10 only when the destination performance conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

Choose the execution format

Choose a paid-media format that supports Display Marketing Analysis

Use the criteria around “Destination performance for Display Marketing” 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 display marketing analysis decision remains the standard for judging the result.

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Illustration comparing advertising formats for display marketing analysis execution

COST NORMALIZATION

Cost normalization for Display Marketing

The cost normalization layer defines how Display Marketing analysis interprets media, labor, production, tools, fees, opportunity cost and comparable units. The Display Marketing evidence register should explicitly surface invalid traffic, frequency waste and weak placement controls rather than hiding uncertainty inside a blended score. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

Run sensitivity checks for Display Marketing layer 11. Recalculate the cost normalization conclusion with alternative denominators, attribution rules, quality thresholds, time windows and segment boundaries. Test whether another plausible explanation can produce the same pattern and whether the direction remains useful under reasonable assumptions.

Convert the Display Marketing cost normalization result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 11 only when the cost normalization conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

OUTCOME QUALITY

Outcome quality for Display Marketing

The outcome quality layer defines how Display Marketing analysis interprets valid conversions, qualification, retention, refunds, churn and business consequence. Use inventory audit, creative plan and frequency governance as the topic-specific deliverable for control 12: outcome quality. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

Run sensitivity checks for Display Marketing layer 12. Recalculate the outcome quality conclusion with alternative denominators, attribution rules, quality thresholds, time windows and segment boundaries. Test whether another plausible explanation can produce the same pattern and whether the direction remains useful under reasonable assumptions.

Convert the Display Marketing outcome quality result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 12 only when the outcome quality conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

ATTRIBUTION SENSITIVITY

Attribution sensitivity for Display Marketing

The attribution sensitivity layer defines how Display Marketing analysis interprets last-touch, multi-touch, holdout, baseline and platform-credit limitations. For display marketing, this control must be interpreted through visual reach and demand support, with particular attention to inventory quality, audience selection, creative, viewability and frequency. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

A buyer evaluating Display Marketing Analysis: Metrics, Evidence and Decision Rules can use Attribution sensitivity for Display Marketing to make the page actionable: identify the condition, document the evidence, and define the response. Review sensitivity, checks, layer, Recalculate, attribution and conclusion together, because a strong result in one of them should not conceal a material failure in another. Connect the finding to one owner and one next action so the page helps the visitor decide rather than merely describing a process.

Convert the Display Marketing attribution sensitivity result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 13 only when the attribution sensitivity conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

CAUSAL INFERENCE LIMITS

Causal inference limits for Display Marketing

The causal inference limits layer defines how Display Marketing analysis interprets confounding, selection bias, regression to the mean and uncontrolled changes. Within a display marketing review, the practical consequence is whether viewable qualified reach, assisted actions and incremental lift can be connected to named owners such as display lead, creative owner and analytics partner. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

For Display Marketing Analysis: Metrics, Evidence and Decision Rules, the Causal inference limits for Display Marketing checkpoint should answer a concrete buyer question rather than repeat a generic framework. Preserve the source, date and owner for sensitivity, checks, layer, Recalculate, causal and inference whenever they affect the decision, especially when the page compares options or sets a budget boundary. Use the finding to choose a specific action—keep, cap, exclude, renegotiate, retest or stop—rather than recording a score with no operational consequence.

Convert the Display Marketing causal inference limits result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 14 only when the causal inference limits conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

UNCERTAINTY AND CONFIDENCE

Uncertainty and confidence for Display Marketing

The uncertainty and confidence layer defines how Display Marketing analysis interprets sample size, variance, missingness, sensitivity ranges and decision tolerance. The Display Marketing evidence register should explicitly surface invalid traffic, frequency waste and weak placement controls rather than hiding uncertainty inside a blended score. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

For Display Marketing Analysis: Metrics, Evidence and Decision Rules, the Uncertainty and confidence for Display Marketing checkpoint should answer a concrete buyer question rather than repeat a generic framework. Preserve the source, date and owner for sensitivity, checks, layer, Recalculate, uncertainty and confidence whenever they affect the decision, especially when the page compares options or sets a budget boundary. Set a written pass condition and a rollback condition before acting, so the team can reverse the change without rewriting the history of the test. When the page's recommendation becomes a traffic test, FroggyAds provides the campaign controls to execute it while the advertiser retains responsibility for offer fit, tracking and backend acceptance.

Convert the Display Marketing uncertainty and confidence result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 15 only when the uncertainty and confidence conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

Put the guide into practice

Turn Display Marketing Analysis into a bounded campaign test

For Display Marketing Analysis: Metrics, Evidence and Decision Rules, the Turn Display Marketing Analysis into a bounded campaign test checkpoint should answer a concrete buyer question rather than repeat a generic framework. Compare Uncertainty, confidence, documented, launch, reversible and spending under the same scope and review window; if one is unknown, keep that uncertainty explicit rather than filling the gap with an estimate. Do not scale the conclusion beyond the evidence window; repeat the check after the next meaningful change in volume, scope or audience. If the next step is a media test, FroggyAds lets the advertiser keep campaign settings and source-level performance visible instead of treating traffic volume as proof of success.

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Illustration of a campaign launch checklist for display marketing analysis

TREND AND SEASONALITY

Trend and seasonality for Display Marketing

The trend and seasonality layer defines how Display Marketing analysis interprets calendar effects, novelty, platform changes, inventory shifts and demand cycles. Use inventory audit, creative plan and frequency governance as the topic-specific deliverable for control 16: trend and seasonality. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

The practical role of Trend and seasonality for Display Marketing in Display Marketing Analysis: Metrics, Evidence and Decision Rules is to expose the exact condition that can change the buyer's next action. Document sensitivity, checks, layer, Recalculate, trend and seasonality in the same decision record so a later reviewer can see why the option passed, failed or needs a narrower retest. Use the finding to choose a specific action—keep, cap, exclude, renegotiate, retest or stop—rather than recording a score with no operational consequence. Where this leads to paid acquisition, FroggyAds gives you a self-serve campaign environment for applying the relevant targeting, budget and source controls while your own analytics verifies downstream value.

Convert the Display Marketing trend and seasonality result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 16 only when the trend and seasonality conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

COMPARISON GOVERNANCE

Comparison governance for Display Marketing

The comparison governance layer defines how Display Marketing analysis interprets comparable definitions, scopes, windows, quality gates and documented exceptions. For display marketing, this control must be interpreted through visual reach and demand support, with particular attention to inventory quality, audience selection, creative, viewability and frequency. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

On this Display Marketing Analysis: Metrics, Evidence and Decision Rules page, Comparison governance for Display Marketing matters because it changes what the advertiser should verify before committing budget or operating effort. Keep the review anchored to sensitivity, checks, layer, Recalculate, comparison and governance; those details are the parts of this section that can materially change the recommendation. If the evidence does not support the current assumption, narrow the scope or run the smallest reversible test that can resolve it.

Convert the Display Marketing comparison governance result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 17 only when the comparison governance conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

SCENARIO MODELING

Scenario modeling for Display Marketing

The scenario modeling layer defines how Display Marketing analysis interprets conservative, base and upside cases with explicit assumptions and stop conditions. Within a display marketing review, the practical consequence is whether viewable qualified reach, assisted actions and incremental lift can be connected to named owners such as display lead, creative owner and analytics partner. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

Run sensitivity checks for Display Marketing layer 18. Recalculate the scenario modeling conclusion with alternative denominators, attribution rules, quality thresholds, time windows and segment boundaries. Test whether another plausible explanation can produce the same pattern and whether the direction remains useful under reasonable assumptions.

Convert the Display Marketing scenario modeling result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 18 only when the scenario modeling conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

RECOMMENDATION LOGIC

Recommendation logic for Display Marketing

The recommendation logic layer defines how Display Marketing analysis interprets decision rule, evidence threshold, reversible next step and accountable owner. The Display Marketing evidence register should explicitly surface invalid traffic, frequency waste and weak placement controls rather than hiding uncertainty inside a blended score. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

Within Display Marketing Analysis: Metrics, Evidence and Decision Rules, Recommendation logic for Display Marketing should connect the page's stated intent to evidence that a media buyer or marketing team can actually inspect. Keep the review anchored to sensitivity, checks, layer, Recalculate, recommendation and logic; those details are the parts of this section that can materially change the recommendation. Connect the finding to one owner and one next action so the page helps the visitor decide rather than merely describing a process. When the page's recommendation becomes a traffic test, FroggyAds provides the campaign controls to execute it while the advertiser retains responsibility for offer fit, tracking and backend acceptance.

Convert the Display Marketing recommendation logic result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 19 only when the recommendation logic conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

MONITORING AND REFRESH

Monitoring and refresh for Display Marketing

The monitoring and refresh layer defines how Display Marketing analysis interprets dashboard, alert, review cadence, re-analysis trigger and decision log. Use inventory audit, creative plan and frequency governance as the topic-specific deliverable for control 20: monitoring and refresh. Start with a named decision and declared unit so the same display marketing record is not counted differently across systems, segments or reporting views. Tie every metric to a formula, time window, exclusion rule, quality threshold and business consequence.

On this Display Marketing Analysis: Metrics, Evidence and Decision Rules page, Monitoring and refresh for Display Marketing matters because it changes what the advertiser should verify before committing budget or operating effort. Compare sensitivity, checks, layer, Recalculate, monitoring and refresh under the same scope and review window; if one is unknown, keep that uncertainty explicit rather than filling the gap with an estimate. Do not scale the conclusion beyond the evidence window; repeat the check after the next meaningful change in volume, scope or audience. Use FroggyAds to test the media assumption that follows from this section, not to replace the evidence the section requires. Campaign controls support the decision; they do not manufacture proof.

Convert the Display Marketing monitoring and refresh result into an explicit decision rule. State the evidence, uncertainty, affected owner, reversible next step, budget boundary, acceptance test and stop condition. If the evidence cannot support action, publish the unresolved display marketing question and required data instead of implying viewable qualified reach, assisted actions and incremental lift.

Acceptance rule: Accept Display Marketing analysis layer 20 only when the monitoring and refresh conclusion remains reproducible and decision-useful after definitions, segments, uncertainty and alternative explanations are visible.

SCORECARD

Eight dimensions for consistent display marketing analysis

Make Eight dimensions for consistent display marketing analysis specific to Display Marketing Analysis: Metrics, Evidence and Decision Rules by tying it to the exact workflow, audience or commercial constraint described on this page. Preserve the source, date and owner for Score, dimension, method, register, complete and documented whenever they affect the decision, especially when the page compares options or sets a budget boundary. Do not scale the conclusion beyond the evidence window; repeat the check after the next meaningful change in volume, scope or audience. When the page's recommendation becomes a traffic test, FroggyAds provides the campaign controls to execute it while the advertiser retains responsibility for offer fit, tracking and backend acceptance.

Evidence integrityCan another reviewer reproduce the conclusion from dated sources and explicit definitions? Apply this dimension to Display Marketing and retain the source artifact or method record.

Coverage completenessAre material journeys, segments, channels, assets, systems and owners represented? Apply this dimension to Display Marketing and retain the source artifact or method record.

Measurement reliabilityAre events, denominators, quality checks and attribution limits documented? Apply this dimension to Display Marketing and retain the source artifact or method record.

Segmentation validityDo segments have a credible mechanism, sufficient evidence and stable definitions? Apply this dimension to Display Marketing and retain the source artifact or method record.

Causal cautionAre alternative explanations, baseline demand and uncontrolled changes acknowledged? Apply this dimension to Display Marketing and retain the source artifact or method record.

Uncertainty visibilityAre missingness, variance, sensitivity and decision tolerance reported? Apply this dimension to Display Marketing and retain the source artifact or method record.

Decision usefulnessDoes the conclusion change a real budget, control, test, priority or sequence? Apply this dimension to Display Marketing and retain the source artifact or method record.

Action readinessAre owner, dependency, acceptance test, stop rule, deadline and review trigger explicit? Apply this dimension to Display Marketing and retain the source artifact or method record.

Suggested calculation: weighted score = Σ(dimension rating × declared weight) / Σ(declared weights)

For Display Marketing Analysis: Metrics, Evidence and Decision Rules, the Eight dimensions for consistent display marketing analysis checkpoint should answer a concrete buyer question rather than repeat a generic framework. Document Publish, scale, weights, limitations, compare and scores in the same decision record so a later reviewer can see why the option passed, failed or needs a narrower retest. If the evidence does not support the current assumption, narrow the scope or run the smallest reversible test that can resolve it. When the page's recommendation becomes a traffic test, FroggyAds provides the campaign controls to execute it while the advertiser retains responsibility for offer fit, tracking and backend acceptance.

WORKFLOW

A 10-step evidence process for Display Marketing Analysis: from the research question to a reproducible decision record

For the Display Marketing Analysis: Metrics, Evidence and Decision Rules decision, use A 10-step evidence process for Display Marketing Analysis: from the research question to a reproducible decision record to separate a real operating requirement from a broad best-practice statement. Review process, order, conclusions, remain, traceable and bounded together, because a strong result in one of them should not conceal a material failure in another. Do not scale the conclusion beyond the evidence window; repeat the check after the next meaningful change in volume, scope or audience.

Define the decision

Write the exact decision, owner, deadline, included scope and excluded scope before collecting evidence. For this display marketing analysis, preserve the context around visual reach and demand support, the evidence constraints in inventory quality, audience selection, creative, viewability and frequency and the responsibilities held by display lead, creative owner and analytics partner.

Freeze the inventory

Create a timestamped register of campaigns, assets, destinations, systems, data sources and responsible owners. For this display marketing analysis, preserve the context around visual reach and demand support, the evidence constraints in inventory quality, audience selection, creative, viewability and frequency and the responsibilities held by display lead, creative owner and analytics partner.

Validate provenance

Confirm access, source, timestamps, completeness, joins, permissions and known limitations for every material artifact. For this display marketing analysis, preserve the context around visual reach and demand support, the evidence constraints in inventory quality, audience selection, creative, viewability and frequency and the responsibilities held by display lead, creative owner and analytics partner.

Build the metric dictionary

Document formulas, denominators, windows, exclusions, quality thresholds and downstream outcome definitions. For this display marketing analysis, preserve the context around visual reach and demand support, the evidence constraints in inventory quality, audience selection, creative, viewability and frequency and the responsibilities held by display lead, creative owner and analytics partner.

Map segments and journeys

Separate audiences, channels, lifecycle states, devices, geographies and failure paths that may behave differently. For this display marketing analysis, preserve the context around visual reach and demand support, the evidence constraints in inventory quality, audience selection, creative, viewability and frequency and the responsibilities held by display lead, creative owner and analytics partner.

Reconcile measurement

Compare platform, analytics, CRM, consent and downstream-quality records before interpreting performance. For this display marketing analysis, preserve the context around visual reach and demand support, the evidence constraints in inventory quality, audience selection, creative, viewability and frequency and the responsibilities held by display lead, creative owner and analytics partner.

Test patterns and alternatives

Evaluate observed patterns against plausible alternative explanations, sensitivity ranges and confounding changes. For this display marketing analysis, preserve the context around visual reach and demand support, the evidence constraints in inventory quality, audience selection, creative, viewability and frequency and the responsibilities held by display lead, creative owner and analytics partner.

Score confidence and risk

Apply explicit evidence, impact, uncertainty, compliance and reversibility criteria rather than reviewer preference. For this display marketing analysis, preserve the context around visual reach and demand support, the evidence constraints in inventory quality, audience selection, creative, viewability and frequency and the responsibilities held by display lead, creative owner and analytics partner.

Choose the next action

Assign an owner, budget boundary, acceptance test, stop rule and deadline for the smallest useful next decision. For this display marketing analysis, preserve the context around visual reach and demand support, the evidence constraints in inventory quality, audience selection, creative, viewability and frequency and the responsibilities held by display lead, creative owner and analytics partner.

Publish and refresh

Issue the evidence register, assumptions, analysis, decision log and triggers for verification or re-analysis. For this display marketing analysis, preserve the context around visual reach and demand support, the evidence constraints in inventory quality, audience selection, creative, viewability and frequency and the responsibilities held by display lead, creative owner and analytics partner.

SCENARIO RULES

Use evidence from Display Marketing Analysis to choose the next responsible action

Strong, stable evidence

When Display Marketing evidence remains directionally stable across definitions, segments and sensitivity tests, choose a bounded action with an owner, budget limit, acceptance criterion and stop rule. Preserve the baseline and measure qualified downstream outcomes.

Conflicting evidence

When Display Marketing sources disagree, do not average contradictions into false confidence. Reconcile formulas, windows, joins, eligibility and quality thresholds, then reduce the decision size until the conflict is understood.

Weak causal confidence

If the display marketing pattern may be explained by demand, selection, seasonality, platform changes or invalid traffic, frequency waste and weak placement controls, describe it as an association. Use a safer comparison, holdout or staged test where practical.

Operational dependency

If the recommended Display Marketing action depends on another team, system or approval, include that dependency, owner, required evidence and deadline in the decision log rather than hiding it outside the analysis.

RELATED RESOURCES

Continue the Display Marketing evidence workflow

SOURCE REGISTER

Official and primary guidance used for context

These sources provide context for Display Marketing claims, measurement, search quality, accessibility, privacy and governance. They are not endorsements, universal benchmarks or proof of FroggyAds performance.

For the Display Marketing Analysis: Metrics, Evidence and Decision Rules decision, use Official and primary guidance used for context to separate a real operating requirement from a broad best-practice statement. Review Snapshot, reviewed, Recheck, relevant, primary and relying together, because a strong result in one of them should not conceal a material failure in another. When the evidence is strong, carry the exact setting or requirement into the next campaign step instead of broadening several variables at once.

FAQ

Display Marketing analysis questions

For Display Marketing Analysis, which outcome gives a display analysis its direction?

Choose the business decision first, such as keeping a source, refreshing a message, or widening an audience. Define the validated outcome and observation period needed for that decision. Without this anchor, the analysis may reward activity that has no agreed value.

For Display Marketing Analysis, why should display results be split by placement context?

Different sites, page positions, devices, and formats can create very different opportunities to see and respond. Source-level analysis can reveal a useful segment or a quality problem that disappears in a blended average, provided the segments have enough data.

For Display Marketing Analysis, what can viewability explain, and what can it not explain?

Viewability helps show if an impression could reasonably have appeared on screen. It does not show that someone noticed the ad, understood it, or later converted because of it. Read viewability beside frequency, creative, source, and outcome evidence.

For Display Marketing Analysis, how can creative fatigue be separated from audience saturation?

Compare response by creative version, exposure count, audience segment, and time. A new message recovering response within the same audience suggests fatigue; weak response across fresh assets may point to saturated demand, poor fit, or another campaign constraint.

For Display Marketing Analysis, how should an attribution window be chosen for display reporting?

Base the window on the observed buying cycle, the event being credited, and the decision the report supports. State click and view rules separately and test how conclusions change with a shorter window; one default setting may overstate or miss delayed activity.

For Display Marketing Analysis, when is an incrementality test worth considering?

Consider it when attributed conversions materially influence spending but the team cannot tell how many would have happened without display exposure. The design must be feasible, ethically acceptable, and large enough to interpret; attribution alone is not causal proof.

For Display Marketing Analysis, which source-level signals deserve a routine quality review?

Review delivery spikes, geography, device and browser mix, frequency, click timing, invalid-activity flags, landing-page behaviour, event validity, and customer quality. No single signal proves bad traffic, so investigate patterns and keep the response documented.

For Display Marketing Analysis, how can media cost be connected to customer value?

Reconcile validated campaign actions with accepted orders, qualified leads, margin, returns, cancellations, or another business record suited to the offer. Apply the same definitions across sources and include non-media costs when the analysis claims total acquisition economics.

For Display Marketing Analysis, what turns a display finding into an accountable decision?

Write the evidence, interpretation, action, owner, deadline, expected observation, and reversal condition together. A finding such as rising frequency is descriptive; the decision becomes accountable only when the team records what it will change and how it will check the effect.

For Display Marketing Analysis, how can analysts test if performance survives added reach?

Expand one audience, placement group, region, or budget band at a time and compare its marginal outcomes with the earlier baseline. Watch frequency, source mix, validation rate, and customer value; blended averages can stay attractive while new delivery performs poorly.

SELF-SERVE MEDIA CONTROL

Apply evidence discipline to paid media decisions

Make Apply evidence discipline to paid media decisions specific to Display Marketing Analysis: Metrics, Evidence and Decision Rules by tying it to the exact workflow, audience or commercial constraint described on this page. Translate the section into checks for self-serve, media-buying, retain, budget, targeting and creative; this keeps the recommendation tied to the page's real task instead of generic marketing language. Keep the baseline unchanged while testing the next hypothesis; that comparison is what makes the decision reproducible. Where this leads to paid acquisition, FroggyAds gives you a self-serve campaign environment for applying the relevant targeting, budget and source controls while your own analytics verifies downstream value.

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Decision table

Display Marketing Analysis: Metrics, Evidence and Decision Rules: a practical advertiser decision matrix

Decision	What to verify	FroggyAds action
Question	State the specific decision this guide answers about Display Marketing Analysis: Metrics, Evidence and Decision Rules.	Use the guide before changing campaign settings.
Procedure	Follow the steps around What is display marketing analysis? in their intended order.	Keep the baseline stable while testing the recommended change.
Evidence	Use the measurement guidance under What this page owns.	Reconcile FroggyAds data with tracker and backend results.
Diagnosis	Use the troubleshooting section around Evidence standard to isolate the smallest failing layer.	Change one major variable at a time.
Next action	Move from the guide to a bounded live test only when the prerequisites are met.	Create a FroggyAds account and preserve the test limit.

Advertiser decision framework

Display Marketing Analysis: Metrics, Evidence and Decision Rules: what should the advertiser decide next?

Within Display Marketing Analysis: Metrics, Evidence and Decision Rules, Display Marketing Analysis: Metrics, Evidence and Decision Rules: what should the advertiser decide next? should connect the page's stated intent to evidence that a media buyer or marketing team can actually inspect. Keep the review anchored to Metrics, Rules, commercial, task, turn and measurable; those details are the parts of this section that can materially change the recommendation. Do not scale the conclusion beyond the evidence window; repeat the check after the next meaningful change in volume, scope or audience.

The practical role of Display Marketing Analysis: Metrics, Evidence and Decision Rules: what should the advertiser decide next? in Display Marketing Analysis: Metrics, Evidence and Decision Rules is to expose the exact condition that can change the buyer's next action. Preserve the source, date and owner for Metrics, Rules, remain, tied, existing and around whenever they affect the decision, especially when the page compares options or sets a budget boundary. When the evidence is strong, carry the exact setting or requirement into the next campaign step instead of broadening several variables at once. For a FroggyAds campaign, translate this conclusion into the narrowest applicable targeting or budget change and reconcile the result with the accepted business event.

Decision	What to verify	FroggyAds action
Display Marketing Analysis: Metrics, Evidence and Decision Rules objective	Use What is display marketing analysis? to define the accepted business event and the maximum learning loss for display marketing analysis.	Launch one FroggyAds campaign objective for Display Marketing Analysis: Metrics, Evidence and Decision Rules and keep the conversion definition stable.
Display Marketing Analysis: Metrics, Evidence and Decision Rules audience	Use What this page owns to verify market, device, language and offer eligibility for display marketing analysis.	Apply only the FroggyAds targeting controls that change the real Display Marketing Analysis: Metrics, Evidence and Decision Rules customer journey.
Display Marketing Analysis: Metrics, Evidence and Decision Rules source evidence	Use Evidence standard to keep source-level differences visible instead of relying on one blended display marketing analysis average.	Keep, cap, exclude or retest Display Marketing Analysis: Metrics, Evidence and Decision Rules inventory from documented source evidence.
Display Marketing Analysis: Metrics, Evidence and Decision Rules economics	Use Primary operating context to connect media spend with accepted conversions and downstream value for display marketing analysis.	Protect the Display Marketing Analysis: Metrics, Evidence and Decision Rules test with a written budget boundary and a consistent attribution window.
Display Marketing Analysis: Metrics, Evidence and Decision Rules scale rule	Use Primary risk context to define the exact evidence that earns the next budget increase for display marketing analysis.	Scale Display Marketing Analysis: Metrics, Evidence and Decision Rules one major control at a time and compare marginal performance with the prior baseline.

A page-specific FroggyAds test sequence for Display Marketing Analysis: Metrics, Evidence and Decision Rules

Display Marketing Analysis: Metrics, Evidence and Decision Rules outcome: define the accepted event for display marketing analysis and the maximum loss permitted while the first test is learning.
Display Marketing Analysis: Metrics, Evidence and Decision Rules path: verify market eligibility, device experience, landing-page continuity and tracking against What is display marketing analysis? before buying more traffic.
Display Marketing Analysis: Metrics, Evidence and Decision Rules hypothesis: launch one bounded FroggyAds test tied to What this page owns; do not change bid, creative, audience and destination together.
Display Marketing Analysis: Metrics, Evidence and Decision Rules source review: compare qualified activity, accepted conversions, timing and cost by the source or segment dimensions relevant to Evidence standard.
Display Marketing Analysis: Metrics, Evidence and Decision Rules scaling: use Primary operating context and Primary risk context to define what must reproduce before the next budget increase.

Why FroggyAds is relevant to Display Marketing Analysis: Metrics, Evidence and Decision Rules

The practical role of Why FroggyAds is relevant to Display Marketing Analysis: Metrics, Evidence and Decision Rules in Display Marketing Analysis: Metrics, Evidence and Decision Rules is to expose the exact condition that can change the buyer's next action. Document Metrics, Rules, gives, self-serve, ad-network and workflow in the same decision record so a later reviewer can see why the option passed, failed or needs a narrower retest. Keep the baseline unchanged while testing the next hypothesis; that comparison is what makes the decision reproducible.

Use Primary risk context as the final checkpoint for Display Marketing Analysis: Metrics, Evidence and Decision Rules. If the accepted result does not reproduce after the next meaningful volume step, return to the last stable configuration instead of widening several controls at once.

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Search intent and buyer decision

Display Marketing Analysis: Metrics, Evidence and Decision Rules: the buyer task this URL owns

Treat Display Marketing Analysis: Metrics, Evidence and Decision Rules as an operating page for display advertisers and media buyers, not as a synonym page. Its job is to help you understand the concept and apply it to a concrete campaign decision, with the evidence kept against this exact decision. The nearest related FroggyAds page is Display Marketing Course; this URL keeps ownership of the distinct task to understand the concept and apply it to a concrete campaign decision.

For Display Marketing Analysis: Metrics, Evidence and Decision Rules, the operating evidence to keep visible is display inventory, responsive creative, banner dimensions, asset quality. Use these entities only when they change setup, measurement or the commercial decision.

Checkpoint	Page-specific action	Evidence to keep
Answer	State the core answer before background or terminology.	Retain evidence specific to Display Marketing Analysis: Metrics, Evidence and Decision Rules and its accepted outcome.
Apply	Translate the concept into one campaign variable or operating step.	Retain evidence specific to Display Marketing Analysis: Metrics, Evidence and Decision Rules and its accepted outcome.
Check	Use a named metric and review window to decide the next action.	Retain evidence specific to Display Marketing Analysis: Metrics, Evidence and Decision Rules and its accepted outcome.

Practical check for Display Marketing Analysis: Metrics, Evidence and Decision Rules: turn this page answer into one testable step, name the event that counts as success for Display Marketing Analysis: Metrics, Evidence and Decision Rules, and keep the review window stable before changing another variable.

Use FroggyAds as the execution layer for Display Marketing Analysis: Metrics, Evidence and Decision Rules: keep the offer and conversion definition stable, apply the needed media controls and let advertiser-side accepted value decide whether more spend is justified. Create your free FroggyAds account.

Display Marketing Analysis worked application example

Hypothetical example: a buyer using this Display Marketing Analysis guide can turn one recommendation into a test by naming the accepted event, fixing the review window and changing one campaign variable. If USD 100 produces 5 accepted outcomes, the resulting accepted CPA is USD 20.00; use your own numbers and economics before deciding what to change next.

Direct answer

Display Marketing Analysis: Metrics, Evidence and Decision Rules — what matters first

Display Marketing Analysis: Metrics, Evidence and Decision Rules is most useful when it helps a buyer understand the concept and apply it to a concrete campaign decision. Define the accepted outcome first, then use targeting, budget and source-level evidence to decide what deserves more spend.