ProoflinFITFORGE · JUNE 2026 · USDView full PDF
Report contents

Performance audit / 01

FitForge Gym

Meta Ads Campaign
Performance Audit

June 1–30, 2026 · USD

The campaign records enquiries.
The next decision needs lead quality.

USD 4,800media spend
240recorded leads
USD 20.00cost per recorded lead
Executive position

Use June as a documented baseline. Resolve outcome visibility and measurement definitions before treating a lower CPL as business success.

Prepared for the marketer or agency responsible for the campaign. This is the complete analytical audit, including sources, calculations and proposed actions.

Authored sample · Version 1.0 · 11 October 2026
Report ID: FITFORGE-PA-2026-06

All campaign values are authored in USD. No real ad account, engine run or live campaign result is represented. The evidence boundary is explained once in detail in the source record.

Performance audit / 02

Executive assessment

June provides a usable cost-and-volume baseline, but it does not establish whether the campaign is acquiring valuable members. USD 4,800 of media spend produced 240 recorded lead events at USD 20.00 each. The accepted click measure is 4,320 link clicks, giving a 1.80% link CTR and USD 1.11 cost per link click. Those calculations are internally consistent; their commercial meaning depends on missing downstream evidence.

PriorityWhy it mattersRecommended response
1 · Fix outcome visibilityA lead event is not a qualified prospect or membership. No qualification, attendance or revenue outcomes are supplied.Agree a lead-quality definition and reconcile campaign leads with a separate customer-owned follow-up log.
2 · Lock measurement meaningAttribution window, conversion location and timezone are absent. These gaps can make future comparisons misleading.Record the settings and definitions before using a new period to judge change.
3 · Test within a limitThere is no target CPL, historical comparison or creative-level evidence. June cannot identify a winner to scale.Keep any further test bounded by an owner-approved ceiling and explicit review criteria.

The strongest supported statement is descriptive: the sample records 240 lead events at USD 20.00 CPL. “Strong lead quality,” “profitable acquisition,” “fatigued creative” and “best audience” are not supported conclusions.

Decision note

Do not stop every campaign merely because evidence is incomplete. Stop unsupported scale decisions; continue only activity that the campaign owner can justify within an approved limit.

Evidence: S01, S02; M01–M05; K01–K04. Findings F01–F07 develop the decision basis.

Performance audit / 03

Objective, scope & reading guide

The scenario is FitForge Gym’s Meta Ads lead-generation campaign, intended to capture interest in a trial class or membership consultation. That intent does not establish a free trial, a seven-day offer, a membership price, a service radius or an approved health claim.

ContextAccepted scope
PeriodJune 1–30, 2026, inclusive, as the supplied reporting label. Timezone is not supplied.
CurrencyUSD throughout. Media spend only; fees, taxes and creative production costs are not supplied.
InputOne campaign-period CSV row with five measures and one source-definition/confirmation record.
Evidence grainWhole-period aggregate. No daily, audience, placement, device, ad-set or creative series.
OutcomesRecorded leads only. Qualified leads, appointments, attendance, memberships, revenue and profit remain unavailable.
AudienceMarketer / agency analytical review. Recommendations are proposed customer work, not changes to an ad account.

Read the executive assessment first, then the metrics and evidence-quality pages. Findings connect each observation to an impact, an action and a way to check it. The final pages contain the complete source register, readable source gallery and calculation appendix.

The report uses confirmed to mean accepted for this authored sample after checking its source definition. It does not mean a real customer confirmed a live account inside Prooflin. Confidence separates reproducible arithmetic from uncertain interpretation.

Decision note

No industry benchmark or performance target is supplied. A numeric result is therefore not labelled “good” or “bad” against an invented threshold.

Performance audit / 04

The accepted metric ledger

These five values are the complete numerical input. Every displayed June KPI and chart traces back to this ledger. The CSV contains a header and one data row; no detail rows, subtotals or duplicate total rows are combined.

Evidence IDMeasureAccepted valueDefinition
M01Media spendUSD 4,800.00Campaign media cost; excludes unknown non-media costs.
M02Impressions240,000Served impression events; repeated exposures can count.
M03Link clicks4,320Link-click events; not all clicks, unique users or sessions.
M04Recorded leads240Campaign lead events; quality and person-level deduplication unverified.
M05Whole-period reach96,000One whole-period unique-reach value; never summed across rows.

All values use the same campaign-period scope from S02. Spend is denominated in USD; counts are events or reached people as defined above. No zero has been inserted for an absent outcome.

Aggregation rule

Reach is supplied once for the whole period. Summing daily or ad-set reach would count people again when audiences overlap and is not a valid way to reproduce M05.

For source inspection, use the complete source gallery or download the frozen CSV. The readable source record contains the definitions and confirmation decisions.

Evidence: S01 row 2, columns 1–5; S02 accepted values and C01–C07. Arithmetic reliability: high within this fixed dataset. Real-world accuracy: not asserted.

Performance audit / 05

Cost, response & volume

Four cost and response measures follow directly from the accepted base metrics. Ratios are calculated from totals, never by averaging previously rounded row-level ratios.

KPICalculationDisplayInterpretation
K01 · Link CTR4,320 ÷ 240,000 × 1001.80%Link-click events per 100 impressions.
K02 · Cost per link clickUSD 4,800 ÷ 4,320USD 1.11Media cost per link-click event, rounded.
K03 · CPMUSD 4,800 ÷ 240,000 × 1,000USD 20.00Media cost per 1,000 impressions.
K04 · CPLUSD 4,800 ÷ 240USD 20.00Media cost per recorded lead event.
CPM USD 20, cost per link click USD 1.11 and CPL USD 20, calculated from the same USD 4800 spend.
Three views of the same cost, not three separate budgets. K02 is rounded only for display. Open full-size chartScroll the chart horizontally for detail.

A low cost per click does not prove strong lead quality. A low CPL does not prove low membership acquisition cost. The required denominator changes at every stage.

Performance audit / 06

What the event counts tell us

240000 impressions, 4320 link clicks and 240 recorded leads. Qualified leads and memberships are unavailable.
S01 / M02–M04. The cards show aggregate counts. They are intentionally not drawn as a tracked person-level funnel. Open full-size chartScroll the chart horizontally for detail.

The three event totals are useful together, but they do not prove that the same people moved through every step. A person can generate more than one impression or click. The lead attribution window is unknown, and no click-to-lead matching data is supplied.

Safe readingUnsafe reading
1.80 link clicks are recorded per 100 impressions.1.80% of unique people visited the website.
There are 240 recorded lead events during the stated reporting scope.240 distinct, qualified prospects or new members were acquired.
June lead events divided by June link clicks is a descriptive quotient.The quotient is a verified website conversion rate.

Landing-page views and sessions are not supplied, so a post-click website drop-off cannot be located. Form opens, form completions and conversion location are also absent. The report cannot distinguish destination friction from low-intent demand, duplicate events or attribution timing.

Decision note

Before changing a form or landing page on this evidence, first establish which conversion location and event definition produced the leads. Then inspect the relevant customer journey.

Performance audit / 07

Data quality & reconciliation

The dataset is arithmetically coherent and deliberately narrow. That combination supports an honest baseline, while limiting causal and commercial conclusions.

CheckResultWhat remains
Scope consistencyFive values, one row, one USD period. No subtotal overlap.Timezone and attribution window need confirmation for comparisons.
Click definition“Link clicks” accepted as the single click measure.Do not substitute all clicks or sessions.
Source conflictNo conflicting accepted source or numeric correction.A new file can change scope or meaning; review it again.
Derived ratiosRecomputed from base totals; no averaged CTR/CPL.Rounding is display-only.
ReachOne whole-period value; no cross-row sum.Exposure distribution and subgroup overlap unavailable.
Business outcomesClearly unavailable, not zero.Lead qualification, appointments, memberships and revenue required.

The excluded material is as important as the accepted material: unrelated datasets, proposed creative winners and claimed screenshot extraction confidence are not evidence for this audit. No screenshot or OCR output is used.

Decision note

Keep the source file, definitions and report together. A familiar column label can still carry a different meaning after an export changes. Confirm the denominator before comparing ratios.

Evidence: S01; S02 C01–C07. There is no claim of live verification, extraction confidence, or statistical representativeness.

F01 · Evidence-linked finding / 08

Keep the June baseline intact

StrengthContinue · priority 2S01 / S02 · M01–M05 · K01–K04

The five accepted values reproduce all four core KPIs without a numerical correction: 1.80% link CTR, USD 1.11 cost per link click, USD 20.00 CPM and USD 20.00 CPL. This is a workable baseline for a later like-for-like review.

Why it matters

A stable denominator prevents an apparent improvement from being caused by switching from link clicks to all clicks, or from recorded leads to qualified leads. Preserving the original baseline also makes later corrections explainable.

Recommended response

Archive this CSV and S02 as a matched pair. Keep metric labels, period, currency and calculation rules alongside any later report. If a definition changes, mark a break in comparability rather than overwriting June.

How to check it

Re-enter USD 4,800, 240,000 impressions, 4,320 link clicks and 240 leads into an independent calculator. Confirm the four KPI results on the calculation appendix. Verify the CSV hash against the source register.

Confidence: High for arithmetic and internal consistency of the supplied sample. This is not confidence in a real platform export.

Limit: Consistency does not validate the underlying campaign, lead quality or profitability. One aggregate period cannot establish a trend.

F02 · Evidence-linked finding / 09

CPL is visible; lead value is not

Missing outcomeFix · priority 1S02 missing outcomes · M01 / M04 · K04

The recorded-lead CPL is USD 20.00, but no count of qualified leads, trial attendance, memberships or revenue accompanies the 240 lead events. A cost-per-qualified-lead or membership CPA cannot be calculated.

Why it matters

Optimizing only for recorded leads can reward a change that increases low-intent or duplicate enquiries. Conversely, a campaign with fewer but more valuable enquiries could look worse on raw CPL alone. The current data cannot distinguish either case.

Recommended response

Agree what counts as a valid enquiry and a qualified prospect with the gym operator. Reconcile lead records with a customer-owned follow-up log, recording contactability, qualification and eventual appointment outcomes. Keep personal contact details outside the public report.

How to check it

Choose a documented campaign cohort and follow-up cutoff. Reconcile total source leads with matched, unmatched, duplicate and pending records. Review the definition and denominator before calculating a qualified-lead cost. Unknown records must remain unknown.

Confidence: High that the necessary outcome inputs are absent. Low for any claim about the actual quality of these leads.

Limit: Do not label all 240 leads unqualified, lost or worthless. Missing results are not failed results, and later outcomes may mature after the reporting period.

F03 · Evidence-linked finding / 10

Protect the click denominator

Measurement riskFix · priority 1S01 column 3 · S02 C02 · M02 / M03 · K01 / K02

The accepted source measure is 4,320 link clicks. It produces a 1.80% link CTR. The word “clicks” on its own is insufficient to establish whether a future source uses the same definition.

Why it matters

If a later period includes all clicks while June uses link clicks, a higher apparent CTR may simply reflect a broader event count. The same mismatch would lower cost per click without showing a true improvement in link response.

Recommended response

Keep “link clicks” in the customer-facing metric name and export instructions. Ask the campaign operator to document the exact selected column and ensure that every compared period uses it. Do not replace missing sessions with clicks.

How to check it

Compare the original column headings and source definition record before accepting a new file. Recalculate CTR as accepted link clicks divided by accepted impressions. Check that the numerator has not become unique clicks, all clicks or destination views.

Confidence: High about the accepted definition and calculation. The possibility of a future mapping error is a risk to prevent, not an observed account defect.

Limit: The current CSV is not ambiguous: its header says “Link clicks.” There is no evidence that the actual campaign used a wrong denominator.

F04 · Evidence-linked finding / 11

Resolve attribution before comparison

Missing definitionFix · priority 1S02 context · M03 / M04

S02 does not supply an attribution window, reporting timezone or conversion location. The report therefore preserves 240 recorded leads without claiming when those people clicked, where the conversion occurred or how an ad received credit.

Why it matters

A change in attribution settings or cutoff can change reported leads even when customer behaviour is unchanged. A same-calendar-month click total and lead total are not necessarily a matched acquisition cohort.

Recommended response

Record the operator-confirmed attribution window, reporting timezone, conversion event and location with the next source set. If June’s definition cannot be recovered, use June as a descriptive baseline with a clear comparability caveat.

How to check it

Verify both periods use compatible definitions and account/report filters. Record late-arriving outcomes separately. Reconcile event-time and reporting-time conventions before treating a difference as improvement.

Confidence: High that these definitions are missing. No confidence is claimed in any particular attribution model or window.

Limit: Do not assume a common platform default, a seven-day window, last-click credit, a website form or an instant form. No live settings were inspected.

F05 · Evidence-linked finding / 12

Average exposure does not prove fatigue

Interpretation riskContinue / Test · priority 2M02 / M05 · K05 · S02 C04

The whole-period ratio of 240,000 impressions to 96,000 reached people is 2.50 impressions per reached person. It describes average exposure across the sample period, not how often each person saw an ad.

Why it matters

An average can hide concentration: some people may receive more exposures than others. Without time-series, creative and audience evidence, it cannot establish saturation, annoyance or a declining response.

Recommended response

Keep frequency as a descriptive check. Do not refresh all creative or pause an audience solely because the average is 2.50. If fatigue is suspected, obtain comparable interval and creative-level evidence for a separate review.

How to check it

Ask for non-overlapping time intervals with compatible definitions and creative identities, then review exposure and response together. Keep period-level reach independently deduplicated; never construct it by summing interval reach.

Confidence: High for the 2.50 arithmetic within the accepted source. Not assessable for fatigue, audience saturation or optimal exposure.

Limit: No exposure distribution, creative age, daily CTR or audience breakdown is supplied. This report identifies no tired creative or overexposed segment.

F06 · Evidence-linked finding / 13

One period cannot show improvement

Evidence gapFix · priority 2S01 single row · S02 context · K01–K04

Only June 2026 is supplied. There is no comparable prior period, planned target or approved business threshold for CPL, CTR or lead volume. The report cannot call June improved, declining or above target.

Why it matters

A raw count can look encouraging without showing what changed, how much was spent previously or whether the business can handle and value the enquiries. An unsupported success claim could lead to an unjustified budget increase.

Recommended response

Use June to establish a fixed reporting baseline. Agree which business outcome will determine success and what comparable source scope is needed next. Keep target-setting separate from describing historical results.

How to check it

When the next period is available, align duration, definitions, currency, campaign scope and attribution. Show spend and lead totals alongside CPL so that a ratio does not conceal a large change in volume.

Confidence: High that comparative evidence and targets are absent. No external benchmark has been applied.

Limit: A same-length month is not automatically comparable; promotions, seasonality and operating capacity may differ. A later comparison still does not by itself establish causality.

F07 · Evidence-linked finding / 14

There is no supported winner to scale

Allocation limitHold scale · priority 1S01 aggregate scope · S02 exclusions

The accepted dataset is one campaign total. It contains no ad-set, audience, placement or creative rows and no ad images. Nothing in the evidence identifies which part of the campaign produced a particular share of spend or leads.

Why it matters

Moving budget to an assumed winner can reduce useful learning or concentrate spend on a segment whose lead quality is unknown. A whole-campaign CPL cannot rank the parts of that campaign.

Recommended response

Do not recommend an allocation percentage or name a winning creative from this audit. If a test proceeds, define the hypothesis and evidence required in advance, obtain the missing supporting records and secure a human-approved spending ceiling.

How to check it

Require consistent identifiers and mutually understood scope for any future breakdown. Reconcile additive totals back to the campaign summary. Review lead quality and uncertainty alongside cost before making an allocation decision.

Confidence: High that no winner can be identified from the supplied aggregate. No claim is made that any audience or creative underperforms.

Limit: This audit is not a creative visual review. There is no observed winning headline, design, placement or audience, and no automatic budget action.

Performance audit / 15

Stop / Continue / Test / Scale / Fix

These are manual decision recommendations for the campaign owner. They do not pause ads, move budget, edit copy or change account settings.

DecisionGuidance nowCondition / review gate
StopStop using raw CPL as proof of profitability or as a standalone reason to scale.Resume a value-based claim only after attributable outcome evidence exists.
ContinuePreserve the June source definitions and inspect any approved ongoing activity.The owner must confirm a spending limit and ability to follow up leads.
TestTest one clear enquiry-message hypothesis after the measurement definition is fixed.Hold other material variables stable where practical; predefine the decision criteria.
ScaleNo scale recommendation is supported by this source set.Require consistent measurement, acceptable lead quality, business economics and an approved ceiling.
FixResolve attribution/context gaps and downstream lead follow-up.Name an owner and record the evidence that will close each gap.
Define, reconcile, qualify, then decide within a human-approved ceiling.
Recommended customer sequence. These gates are guidance, not a claim of automated workflow. Open full-size chartScroll the chart horizontally for detail.

A hold on scaling is not an instruction to shut down the whole account. The owner must consider actual operating constraints and information outside this sample.

Performance audit / 16

CPL sensitivity & its limits

CPL is spend divided by recorded leads. The following arithmetic holds spend constant at USD 4,800 and changes only the number of recorded lead events. It is a sensitivity illustration, not a prediction of extra leads or a promised improvement.

At fixed USD 4800 spend, 180 leads would mean USD 26.67 CPL, 240 means USD 20 and 300 would mean USD 16.
The middle case is the accepted June result. The other two cases are conditional examples. Bar lengths use the same CPL scale. Open full-size chartScroll the chart horizontally for detail.
CaseArithmeticWhat still must be checked
180 lead eventsUSD 4,800 ÷ 180 = USD 26.67Were leads better qualified, or simply fewer?
240 lead events · JuneUSD 4,800 ÷ 240 = USD 20.00Quality and business value are unknown.
300 lead eventsUSD 4,800 ÷ 300 = USD 16.00Were additional events valid, distinct and useful?

A cheaper lead event can still be a more expensive membership if qualification or attendance worsens. This chart cannot estimate membership CPA, ROAS, profit or the budget needed to reach a future lead count.

Evidence: M01/M04 for the observed case; explicit assumed denominators for the other cases. Values are not benchmark thresholds or operating targets.

Performance audit / 17

A useful next test, with explicit limits

The objective names two forms of interest: a trial class and a membership consultation. A practical hypothesis is that clearer enquiry intent may change both recorded lead volume and the usefulness of follow-up. No existing creative or copy was supplied, so these are proposed message directions, not corrections to an observed ad.

Proposed directionExample wordingEvidence to collect
Trial-class intent“Interested in a FitForge trial class?”
CTA idea: “Ask about a trial class.”
Recorded leads, agreed valid-lead criteria and interest category.
Consultation intent“Explore membership options at FitForge.”
CTA idea: “Request a membership consultation.”
The same measures, plus whether the enquiry matches the offer actually available.

The gym must approve offer availability, booking process and exact wording before use. Do not add “free,” a trial duration, a discount, a transformation claim, a testimonial or scarcity that the source does not substantiate.

Design the comparison before launch

Owner: campaign marketer with gym operator approval. No test has been run, no sample-size adequacy is established and no uplift is promised.

Performance audit / 18

The first seven working days

This is a proposed sequence after the owner receives the audit. Days are relative to starting the work, not a claim that actions took place in June.

When / ownerActionCompletion evidence
Days 1–2 · MarketerLock source scope, link-click definition, conversion event, attribution window and timezone.A completed source-definition record, plus retained original files and an explicit list of unresolved fields.
Days 2–3 · Gym operatorDefine a valid enquiry, qualified interest and follow-up outcome. Agree who records them.A simple shared definition and a customer-owned log; no personal data in the public report.
Days 3–4 · Marketer + operatorReconcile source leads with follow-up records and distinguish unmatched, duplicate and pending outcomes.A count reconciliation with documented cutoffs; unresolved records remain visible.
Days 4–5 · MarketerApprove one test hypothesis, review conditions and spending ceiling.Written test plan and approval; no assumed budget amount from this report.
Days 6–7 · MarketerReview measurement completeness and decide whether the test is ready.Go / revise / hold decision with reasons and evidence links.
Dependency rule

If attribution or lead definitions remain unresolved, continue fixing measurement. Do not compress the sequence by treating missing outcomes as zero or by declaring a winner before data matures.

Expected benefit: a clearer decision process and reproducible measurement. No numerical performance gain is forecast. Findings F02–F04 and F07 are the immediate dependencies.

Performance audit / 19

The next reporting cycle

Use a full follow-up cycle to distinguish measurement improvement from campaign performance change. The sequence below is proposed work; it is not a reporting automation feature.

StageWorkReview question
Week 1 · DefinitionComplete the first-week actions and retain the accepted June baseline.Can another reviewer reproduce the metric meanings and totals?
Week 2 · Controlled observationIf approved, run the defined test within the agreed limit. Log material campaign and operational changes.Are both alternatives measured consistently, and are lead outcomes being recorded?
Week 3 · Follow-upReview contactability, qualification and pending outcomes using the agreed cohort and cutoff.Does any lower CPL come with weaker lead usefulness or incomplete follow-up?
Week 4 · DecisionCompare compatible totals and outcomes; document uncertainty and the business owner’s decision.Continue, revise, stop or cautiously expand—and what evidence justifies it?

What the next review should contain

No daily trend or month-over-month percentage is shown here because no time series or second period exists. A complete cycle may still be inconclusive; reporting that uncertainty is a useful result.

Performance audit / 20

Measurement handoff checklist

Use this checklist with the campaign operator before the next analysis. It describes information to collect and review; it does not imply a native CRM connection or automatic campaign management.

AreaConfirmWhy it matters
Source scopeCampaign scope, filters, inclusive period and reporting timezone.Prevents combining unlike totals or shifting date cutoffs.
ClicksExact link-click column; no substitution with all clicks or sessions.Protects CTR and cost-per-click meaning.
Lead eventConversion location, event definition, attribution window and duplicates policy.Clarifies what a recorded lead represents.
CostsMedia spend currency and treatment of taxes, fees and production.Keeps media CPL distinct from total acquisition cost.
Follow-upValid/qualified definition, matching method, cohort, cutoff and pending outcomes.Allows useful downstream interpretation without guessing.
ComparisonsCompatible period, scope and material operating changes.Avoids false trend or test conclusions.
DecisionBusiness outcome, review criteria, budget ceiling and named approver.Makes a recommendation reviewable before execution.

Retain exact settings privately with the business. Public reporting should use aggregate counts and definitions; it does not need prospect names, phone numbers, emails or account credentials.

Decision note

Minimum handoff: one source set, one definition record, one calculation sheet and one unresolved-data list. More files are useful only if their scopes reconcile.

Performance audit / 21

Evidence register & source custody

There are two deliberately published source files. Together they contain the entire accepted numerical source and its definitions. There are no hidden campaign files supporting stronger conclusions.

IDSourceSupports
S01Frozen June USD CSV
Header + one data row, five columns.
M01–M05 and ordinary derived calculations. No account IDs, formulas or personal data.
S02Source definition & confirmation record
Readable UTF-8 text.
Origin, objective, period, currency, definitions, C01–C07 decisions and missing-data boundaries.

The source gallery provides readable previews of both files. Previewed tables are reconstructed from these sources and are not screenshots of Meta Ads Manager. Charts are presentation derivatives; they do not count as independent evidence.

SHA-256 source identities

S01 · CSV
ed9ac95aef4fbc63a52ecb3654c52484ea05edd912eb8c05b2bfc612b372ff45

S02 · Definition record
7210e53e935b390893008849d5fd6fa5dea84648b3e872f92d66ec23fff5e721

How to use these identities

A matching hash proves that the file bytes match this version, not that a real campaign occurred. Changed inputs require a new review and a clear version boundary.

Open the full source gallery →

Performance audit / 22

Source gallery · accepted CSV

S01 · FitForge-June-2026-USD-confirmed-metrics.csv

SpendImpressionsLink clicksLeadsReach
4800240000432024096000

The table above reproduces the complete data row. Spend is USD; count definitions and reporting context are in S02. The plain CSV is intentionally small: it contains no ad-set, creative, date-breakdown or total-summary duplication.

Row-to-evidence map

CSV coordinateEvidence IDMeaning
Row 2, column 1M01USD 4,800 media spend
Row 2, column 2M02240,000 impression events
Row 2, column 3M034,320 link-click events
Row 2, column 4M04240 recorded lead events
Row 2, column 5M0596,000 whole-period reached people

There is no numeric correction in this version. Source review accepts the literal values and fixes their meaning. Rounding belongs to the KPI presentation and does not change these base values.

Download S01 CSV · View source gallery

Origin: authored sample data. This is a faithful readable table preview, not an Ads Manager screen capture.

Performance audit / 23

Source gallery · confirmation decisions

S02 defines how the five values may be used. The complete downloadable record includes origin, campaign context, all metric definitions, these decisions, calculation rules and limitations.

DecisionRecorded outcome
C01Accept the single CSV row and the five definitions for the sample.
C02Keep Link clicks as the only clicks denominator; no all-click substitute.
C03Do not enter Leads as Conversions or Purchases. Those outcomes are unknown.
C04Accept Reach once at whole-period level; no summed-reach calculation.
C05Numerical corrections: none. The frozen row reconciles unchanged.
C06Exclude unrelated datasets, creative/ad-set winners and unverified screenshot/OCR evidence.
C07Changed source, period, currency or definition requires a new confirmation.

No extraction defect has been invented to make the sample look realistic. The useful review issues are semantic and evidential: the meaning of clicks and leads, the non-additive nature of reach, and the absence of attribution and downstream outcomes.

Decision note

The source-confirmation record is authored evidence for this sample. It is not an application audit log or a claim that an authenticated user completed a live review workflow.

Download the complete S02 source record · Read it in the gallery

Performance audit / 24

Calculation appendix

Use the unrounded base values for every calculation. Display rounding is to two decimal places for USD amounts and percentage/frequency presentation. No missing value is replaced with zero.

ID / measureOrdinary calculationResult
K01 · Link CTR4,320 / 240,000 = 0.018
0.018 × 100
1.80%
K02 · Cost per link clickUSD 4,800 / 4,320USD 1.111111… → USD 1.11
K03 · CPMUSD 4,800 / 240,000 × 1,000USD 20.00
K04 · CPLUSD 4,800 / 240USD 20.00
K05 · Average frequency240,000 / 96,0002.50 impressions per reached person

K01–K04 are standard cost/response calculations. K05 is a separately explained aggregate ratio. It is not an individual exposure count, fatigue score or performance threshold.

A tempting but limited quotient

240 leads ÷ 4,320 link clicks × 100 = 5.56% after rounding. This is only a same-period lead-to-link-click quotient. It is not a verified conversion rate: conversion location, attribution window, matched users and compatible cohorts are unavailable. It is not used to score performance or diagnose a website.

Calculations deliberately unavailable

Membership CPA needs confirmed memberships; ROAS needs compatible attributed revenue; total acquisition cost needs costs beyond media; qualified-lead cost needs a defined, reconciled qualified-lead denominator. None of those inputs exists here.

Sensitivity cases: USD 4,800 / 180 = USD 26.67; / 240 = USD 20.00; / 300 = USD 16.00. The 180 and 300 cases are assumptions, not extra observed source rows.

Performance audit / 25

Findings-to-action traceability

Use this register to challenge a conclusion or check that an action has enough evidence. The recommendation remains conditional until its stated requirement is met.

FindingEvidenceProposed response / completion check
F01 · BaselineS01/S02; K01–K04Preserve the files and definitions; independently reproduce the KPIs.
F02 · Lead value missingS02; M01/M04Agree qualification and reconcile a follow-up cohort, including pending and unmatched.
F03 · Click meaningS01 column 3; C02Keep the exact link-click definition in future exports and reports.
F04 · Attribution missingS02 contextDocument attribution, timezone and conversion location before comparing.
F05 · Exposure interpretationM02/M05; K05Use 2.50 descriptively; seek compatible detail before diagnosing fatigue.
F06 · No comparisonS01 single period; S02Align a later scope and define a business threshold before judging change.
F07 · No winnerS01 aggregate; S02 exclusionsRequire reconciled supporting evidence and owner approval before allocation changes.

The action sequence prioritizes evidence gaps that can change a spending decision. It does not assign a proprietary health score, rank unseen audiences or claim a measured uplift.

Decision note

If a future source contradicts this report, preserve both versions, identify the changed value or definition, and revise the affected finding. Do not silently rewrite the baseline.

Performance audit / 26

Methodology & material limitations

This audit starts with a deliberately authored, inspectable source set. It checks scope and definitions, calculates ordinary KPIs from accepted totals, distinguishes observed evidence from missing outcomes, and develops conditional recommendations. It contains no real campaign performance claim.

High confidence in an arithmetic result means another reviewer can reproduce it from the accepted values. It does not establish real-world source accuracy, statistical significance, commercial success or causal attribution.

Closing recommendation

The useful next decision is to improve evidence before increasing certainty: confirm definitions, reconcile lead outcomes, then choose a bounded test or spending decision.

FITFORGE-PA-2026-06 · Version 1.0 · 11 October 2026
Complete report, full source record and CSV are included in this public package.