# Travel Paid Media Reporting: Fix Your ROAS Numbers

> Platform ROAS is lying to your travel brand. Tower33 shows you the reporting standard that reflects real revenue. Get the audit checklist.

**Published:** 2026-10-16 | **Updated:** 2026-10-31 | **Author:** victorsoares
**URL:** https://tower33.com/articles/travel-paid-media-reporting-guide/
**Type:** post

**Categories:** Paid media strategy

![Travel Paid Media Reporting: Fix Your ROAS Numbers](https://tower33.com/articles/wp-content/uploads/sites/107/2026/10/1792061941037-62e5554ad8c4-1024x572.webp)

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## Content

*Written by: Anthony Miller, Founder, Tower 33*

## Key Takeaways

- Platform-reported ROAS in travel often misleads because booking lag, cancellations, and cross-channel overlap distort which campaigns drive revenue.
- A truthful travel paid media report reconciles platform data against CRM revenue and reports net revenue after cancellations instead of gross bookings.
- Key metrics that matter include cost per qualified lead, cost per converted booking, booking lag adjustments, and contribution margin rather than raw platform ROAS.
- Brand and non-brand campaigns must be separated in reporting because blending them hides which campaigns create new demand versus harvesting existing demand.
- Tower33 rebuilds measurement before judging performance, separating brand and non-brand, validating cross-platform tracking, and implementing server-side tracking to reduce attribution loss.

Want the full framework for reconciling platform data against CRM revenue? [Join Tower33's strategy newsletter.](https://tower33.com/join-strategy-newsletter/?utm_term=travel-paid-media-reporting-guide&utm_campaign=ai_growth_agent)

## Why Platform-Reported ROAS Is Misleading In Travel

Platform-reported ROAS measures what the platform can claim credit for within its own attribution window, not business performance. In travel, three structural mechanisms make it unreliable.

**Booking lead times distort which campaigns look profitable.** The gap between ad click and booking can span weeks or months. AtlasPerk Research reports that the average accommodation purchase journey spans roughly 36 days and more than 45 touchpoints. The click, inquiry, booking, and revenue-recognition dates can fall in entirely different reporting periods. Google Ads associates conversions with the ad-click date while GA4 reports on the conversion date. A tour booked 30 days after clicking an ad shows up in different months depending on which system you read. A campaign that drove a booking in November may have been clicked in August. When you review August performance, that revenue does not appear. The distortion is systematic and misattributes which campaigns are working in any given week.

**Cancellations erase reported revenue.** Platform-reported ROAS typically counts gross bookings, not net revenue after cancellations. [A 2026 IntelliHost analysis of 460,814 reservations found that bookings made six or more months before arrival canceled at 37.5%, nearly double the 20% cancellation rate for last-minute bookings](https://intellihost.co/data-studies/ins006-cancel-by-leadtime). A campaign can show a 5x ROAS on bookings that later cancel at 30%, turning a reported winner into a net loser. The platform has no mechanism to retract a conversion when a booking cancels. The revenue was reported and budget was allocated toward that campaign. The cancellation never appears in the dashboard. [IAB Europe's September 2026 draft Travel Media Measurement Addendum, developed with Skyscanner, KAYAK, Expedia, Koddi, Booking.com, and Sojern, standardizes sales reporting around gross bookings recognized at the point of booking, before cancellation](https://iabeurope.eu/first-draft-travel-media-measurement-addendum-open-for-public-comment). Even under that proposed standard, a separate CRM or finance reconciliation remains necessary for net business performance.

**Cross-channel attribution overlap inflates total reported performance.** Google, Meta, and metasearch platforms each claim credit for the same booking. [Travel bookings often involve 3–7 touchpoints across Meta, Google, email, and organic](https://adlibrary.com/posts/meta-ad-benchmarks-travel-2026). Because of multi-touch attribution and view-through conversion credit, Meta's in-platform attribution overcounts its contribution by 20–40% for most travel businesses. A traveler who sees a Meta ad, clicks a Google search ad, and books through a metasearch link may be counted as a conversion by all three platforms. When you sum platform-reported revenue across channels, the total exceeds your actual revenue.

## What A Travel Paid Media Report Must Reconcile

A truthful travel report does not rely on platform-reported ROAS as the primary performance metric. It reconciles platform data against CRM revenue and blended business performance. The following table outlines the eight elements a travel paid media report must include. The next section covers the four metrics that most directly determine whether a campaign is profitable.

| Element | What It Measures | Why It Matters |
| --- | --- | --- |
| Platform-reported ROAS vs. CRM revenue | The gap between what platforms claim and what the CRM confirms | Reveals the reconciliation problem and the magnitude of over-reporting |
| Blended business performance | Total revenue divided by total ad spend | The only ROAS figure that reflects actual business performance, not platform-attributed revenue |
| Booking lag adjustments | Revenue attributed to the campaign period when the booking occurred, not the click | Corrects for the distortion caused by long consideration cycles |
| Net revenue after cancellations and refunds | Revenue the business actually keeps | The only revenue figure that reflects realized performance |
| Cost per qualified lead and cost per converted booking | The cost to generate a lead that meets qualification criteria and the cost to convert that lead to a booking | Raw CPL (cost per lead) obscures lead quality variation by source |
| Brand vs. non-brand separation | Performance of brand campaigns versus non-brand campaigns | Brand campaigns harvest existing demand; blending them with non-brand pollutes reporting |
| Funnel-stage segmentation of non-brand campaigns | Performance by funnel stage (awareness, consideration, conversion) | Budget allocation requires knowing which stage is producing results |
| Contribution margin | Revenue minus variable costs (commissions, fulfillment, refunds) | ROAS can look healthy while margin is negative |

## The Metrics That Actually Matter In Travel Reporting

**Cost per qualified lead.** In travel, a lead is not a booking. Qualification matters because inquiry quality varies by source. A lead from a metasearch click may be a traveler ready to book. A lead from a social ad may be a traveler in early research. [Cost per qualified lead in travel runs €15–€50, significantly above the cross-industry average, and the economics work because a single converted group booking or high-value resort stay can be worth €2,000–€10,000+ in revenue.](https://adlibrary.com/posts/meta-ad-benchmarks-travel-2026) Cost per qualified lead separates the two and ties ad spend to leads that have a realistic path to booking.

**Cost per converted booking.** This metric ties ad spend to actual revenue. It accounts for lead-to-booking conversion rates, which vary by source, campaign, and funnel stage. A campaign with a low cost per lead but a low lead-to-booking rate may have a higher cost per converted booking than a campaign with a higher cost per lead and a higher conversion rate. Travel CPCs can vary by 200–400% between off-season and peak periods. Annual averages on these metrics can hide serious off-season problems.

**Net revenue after cancellations.** This is the revenue figure that reflects what the business actually keeps. [A 2026 hotel-revenue analysis citing D-Edge Hospitality Solutions reports that almost 40% of on-the-books hotel revenue was canceled before arrival across more than 200 distribution channels and 680 European properties.](https://revenuenaire.com/hotel-cancellation-policy-strategy) Platform-reported revenue counts gross bookings. Net revenue subtracts cancellations and refunds. As noted earlier, a campaign with a 30% cancellation rate is not performing as well as the platform reports.

**Contribution margin.** ROAS can look healthy while margin is negative. Travel has high variable costs, including commissions, fulfillment, and refunds, that ROAS ignores. [Platform-reported ROAS should be treated as one diagnostic view, reconciled against CRM-confirmed bookings, cancellation-adjusted revenue, and blended business performance, and dashboards should explicitly label gross booking value ROAS, commission ROAS, and contribution ROAS as non-interchangeable metrics.](https://spaceads.agency/blog/travel-agency-tour-operator-marketing) Contribution margin subtracts those variable costs and reveals whether the campaign is actually profitable.

## How To Audit Your Current Travel Reporting

Run this diagnostic on your current reporting, whether it comes from an agency or your internal team. Each question builds on the previous one so you can see where the gaps start.

- **Does your report include a revenue line, or only impressions and CTR?** A report without a revenue line cannot tell you whether the program is working. If it passes this check, the next question is whether that revenue is attributed to the right period.
- **Does it account for booking lag, or does it attribute revenue to the click date?** If revenue is attributed to the click date, campaigns that drive long-consideration bookings will look unproductive.
- **Does it separate brand from non-brand spend and performance?** Blending brand and non-brand hides which campaigns are actually driving new demand.
- **Does it reconcile platform-reported ROAS with CRM revenue?** Without reconciliation, you cannot know whether platform-reported performance is real.
- **Does it report net revenue after cancellations, or gross bookings?** Gross bookings overstate revenue if cancellations are not subtracted.
- **Does it show cost per qualified lead and cost per converted booking, or only raw CPL?** Raw CPL obscures lead quality variation and does not tie spend to revenue.

If your current reporting fails more than two of these questions, the reporting is not giving you the information you need to allocate budget. This is a reporting standard problem, not a dashboard design issue.

[Get the travel reporting checklist.](https://tower33.com/join-strategy-newsletter/?utm_term=travel-paid-media-reporting-guide&utm_campaign=ai_growth_agent)

## Attribution Challenges Unique To Travel Booking Cycles

The travel booking journey rarely follows a straight line. Inspiration happens on YouTube or Instagram. Research happens on metasearch and Google. The booking happens weeks later on the brand site. [Expedia Group's Path to Purchase research with Luth Research found that travelers across seven countries view 141 pages of travel content in the 45 days before booking, and US travelers view 277 pages, spending an average of 303 minutes with that content.](https://hospitalityos.tech/research/hotel-ai-attribution-multi-touch) Last-click attribution in platforms over-credits bottom-funnel search and under-credits upper-funnel inspiration because it sees exactly one of those hundreds of touches.

[IAB Europe's September 2026 draft Travel Media Measurement Addendum addresses this directly, proposing a seven-day attribution window for sponsored products and a 30-day window for display and offsite advertising, along with a three-year look-back for new-to-advertiser metrics, reflecting that travel purchases are relatively infrequent.](https://iabeurope.eu/first-draft-travel-media-measurement-addendum-open-for-public-comment) The draft remains open for public comment through October 23, 2026. As noted earlier, the same addendum standardizes sales reporting around gross bookings recognized at the point of booking, before cancellation. A separate CRM or finance reconciliation is still required for net business performance.

[A 7-day click window on Meta captures only about 15 to 20 percent of the conversions that Meta travel campaigns actually influenced, with the remaining 80 percent appearing as direct or organic traffic in analytics.](https://stackmatix.com/blog/travel-agency-attribution-tracking) This creates a dangerous feedback loop. Campaigns that appear to underperform get their budgets cut, which reduces top-of-funnel activity that feeds the conversion path. Bottom-funnel campaigns then deteriorate and trigger further budget cuts. The measurement gap is not just a reporting problem. It drives bad budget decisions.

## How To Report On Seasonality Without Masking Off-Season Problems

Peak-season performance can hide off-season inefficiency. A campaign that looks healthy in July may be losing money in November. Travel and hospitality CPCs swing 100% to 400% between off-season and peak periods. A campaign that performs at 4x ROAS in July and 1.5x in November is a campaign that only works when demand is high. Reporting on an annual average hides that pattern.

The practical fix is to report on a same-period-last-year basis and separate peak from off-peak performance. When you compare July 2026 to July 2025, you control for seasonal demand. When you separate peak from off-peak, off-season problems become visible and actionable.

## What To Ask Your Agency Or Partner About Travel Reporting

Use these questions to vet any partner, including your current one.

- **Can you show me an actual report from a current client that includes a revenue line and reconciles platform data with CRM revenue?** If they cannot show a report with a revenue line, they are not measuring performance.
- **How do you handle booking lag and cancellations in reporting?** If they attribute revenue to the click date and count gross bookings, the reporting is structurally misleading.
- **Who specifically will be running my account day to day, and what is their experience level?** The person who runs the pitch is often not the person who runs the account.
- **Will I have owner-level access to all ad accounts and data from day one?** Any hesitation here is a structural red flag.
- **What happens if the person running my account leaves?** If the answer involves a transition plan, the institutional knowledge is at risk.

These questions are designed to show whether a partner's reporting and staffing model can survive scrutiny. Tower33 is built to answer them differently. The person who runs the pitch is the person who runs the account, permanently. Founder Anthony Miller leads strategy and day-to-day management on every account, with 15+ years managing hundreds of millions in paid media across hundreds of brands. Reporting is built to surface what is not working, not to reassure. There is no contractual lock-in; performance holds the relationship. [If you are evaluating what structure comes next after a bad paid media relationship, this breakdown of the tradeoffs between agency, consultant, and in-house is worth reading](https://tower33.com/agency-consultant-or-in-house-how-to-make-the-right-call-after-a-bad-paid-media-partner/?utm_term=travel-paid-media-reporting-guide&utm_campaign=ai_growth_agent).

The differences in performance between programs that work and programs that do not come down to fluency in understanding an audience, how to use networks effectively, and whether the measurement underneath the program is telling the truth. Tower33 rebuilds measurement before judging performance. That means cleaning conversion signals, setting correct optimization goals, separating brand and non-brand, enforcing UTM discipline, validating cross-platform tracking, and implementing server-side tracking to prevent attribution loss. Each step addresses a specific way the reporting can mislead. [One account went from $28,695 in spend and $27,737 in revenue in March 2026 to $11,967 in spend and $51,598 in revenue in July 2026, an 86% revenue increase on 58% less spend, after separating brand and non-brand keyword buckets, segmenting non-brand campaigns by funnel stage, cleaning conversion tracking and bidding signals, and implementing server-side tracking](https://www.linkedin.com/pulse/google-ads-86-revenue-growth-58-less-spend-anthony-miller-gimlc/). Base pricing starts at $5,000.

## The Fix Is A Different Reporting Standard

That account is one example of a broader pattern. Travel paid media reporting is structurally broken because the industry adopted e-commerce reporting standards for a vertical where bookings happen weeks later, cancellations are common, and every channel claims credit for the same conversion. [Across published incrementality studies, measured incremental ROAS usually lands 30 to 60 percent below what ad platforms report, with retargeting and brand search being the worst offenders because they take credit for demand that already existed](https://farvero.com/blog/attribution-vs-incrementality). The fix is a different reporting standard that reconciles platform data against CRM revenue, accounts for booking lag and cancellations, and separates platform-reported ROAS from blended business performance. Evaluate partners on truthful measurement, senior oversight, and whether they lead the relationship or wait to be led.

[For a deeper look at what agencies typically omit from Google Ads reporting and why it costs you money, this diagnostic framework covers the specifics](https://tower33.com/articles/google-ads-agency-reporting/?utm_term=travel-paid-media-reporting-guide&utm_campaign=ai_growth_agent). If you are managing paid media across multiple channels and need a measurement framework that ties them together, [this multi-channel paid media measurement guide walks through how to structure it](https://tower33.com/articles/multi-channel-paid-media-strategy/?utm_term=travel-paid-media-reporting-guide&utm_campaign=ai_growth_agent).

[Get ongoing travel performance breakdowns.](https://tower33.com/join-strategy-newsletter/?utm_term=travel-paid-media-reporting-guide&utm_campaign=ai_growth_agent)

## Frequently Asked Questions

### What Is The Difference Between Platform-Reported ROAS And Blended ROAS In Travel?

Platform-reported ROAS is calculated by each ad platform using its own attribution window and its own definition of a conversion. Google, Meta, and metasearch platforms each count gross bookings within their respective windows and claim credit for any conversion that touched their platform. Because multiple platforms run simultaneously and their attribution windows overlap, the same booking is often counted by more than one platform. Summing platform-reported revenue across channels produces a total that exceeds what the business actually earned.

Blended ROAS is calculated differently. It uses total revenue from the CRM or finance system divided by total ad spend across all channels. It does not rely on any platform's attribution model. It does not count gross bookings and instead uses the revenue figure the business actually recognizes. For travel specifically, blended ROAS should be calculated on net revenue after cancellations, not gross bookings at the time of reservation. Blended ROAS is the ROAS figure that reflects actual business performance rather than platform-attributed performance.

### How Should Travel Marketers Handle Booking Lag In Paid Media Reporting?

Booking lag is the gap between the date a traveler clicks an ad and the date they complete a booking. In travel, this gap can range from a few days for last-minute city breaks to 45 or more days for international itineraries and cruises. The problem for reporting is that most platforms attribute revenue to the click date, not the booking date. A campaign that drove a booking in November may have been clicked in August. When you review August performance, that revenue does not appear. When you review November performance, the campaign that drove the click looks unproductive.

The fix requires two steps. First, extend attribution windows to match actual booking behavior. [Google Ads allows click-through windows up to 90 days](https://support.google.com/google-ads/answer/3123169), and for complex travel products, windows of 60 to 90 days are more accurate than the 30-day default. Second, reconcile platform-reported conversions against CRM booking data by booking date rather than click date. This means pulling CRM records by the date the booking was created and matching them back to the campaign that drove the original interaction. It takes more work than reading a platform dashboard, and it is the only way to know which campaigns are actually driving bookings.

### Why Does Separating Brand And Non-Brand Campaigns Matter So Much In Travel Reporting?

Brand campaigns, such as ads that appear when someone searches your property name, cruise line, or tour brand, capture people who already know you exist and have already decided to consider you. Non-brand campaigns, such as ads that appear for destination searches, category searches, or competitor terms, reach people who have not yet identified you as an option. These two campaign types serve different purposes and have different economics.

When brand and non-brand campaigns are blended into a single reporting view, the high ROAS of brand campaigns inflates the apparent performance of non-brand campaigns. A program that looks like it is generating strong returns from new demand may actually be spending most of its non-brand budget inefficiently while brand campaigns carry the numbers. Separating them reveals the true cost of acquiring a new traveler who did not already know you. That figure determines whether the program is growing the business or just harvesting existing demand. Tower33 treats brand and non-brand separation as a foundational measurement requirement, not an optional reporting preference.

### What Is The Right Way To Account For Cancellations In Travel Paid Media Reporting?

The right approach is to report three separate revenue figures: gross bookings at the time of reservation, net bookings after cancellations, and realized revenue after the stay or trip completes. Each figure answers a different question. Gross bookings tell you what the platform reported. Net bookings tell you what the business retained after cancellations. Realized revenue tells you what the business actually earned after the guest completed their travel.

For paid media optimization, the relevant figure is net revenue after cancellations because that is the revenue the business keeps. Campaigns should be evaluated on their net contribution, not their gross booking value. This requires feeding cancellation data from the PMS or CRM back into the reporting system and rerunning channel credit on stayed revenue rather than booked revenue. [Google Ads supports offline conversion imports and conversion adjustments that can restate a changed value or retract a cancelled reservation](https://spaceads.agency/blog/travel-agency-tour-operator-marketing). This makes it technically possible to correct the bidding signal when bookings cancel, yet most accounts never implement this and leave the platform optimizing toward gross bookings that may never be realized.

### How Do You Know If Your Current Travel Paid Media Reporting Is Accurate?

The fastest diagnostic is to compare your platform-reported revenue across all channels against your CRM or finance revenue for the same period. If the sum of platform-reported revenue across Google, Meta, and metasearch exceeds your CRM revenue, you have attribution overlap, with multiple platforms claiming credit for the same bookings. If your platform-reported ROAS looks healthy but your business performance does not match, the reporting is likely counting gross bookings rather than net revenue after cancellations or attributing revenue to the wrong campaign period due to booking lag.

A second diagnostic is to check whether your reported conversions include cancelled bookings. Pull a sample of bookings that the platform counted as conversions and check their status in the CRM six to eight weeks later. If a meaningful share cancelled and the platform never retracted the conversion, your ROAS figures are overstated. A third diagnostic is to check whether brand and non-brand campaigns are reported separately. If they are blended, you cannot know whether your non-brand spend is actually generating new demand or whether brand campaigns are carrying the numbers. Any of these three findings indicates that the reporting standard needs to be rebuilt before performance can be accurately judged.

## Read Next

- [Google Ads Reporting: What Your Agency Isn’t Showing You](https://tower33.com/articles/google-ads-agency-reporting/?utm_term=travel-paid-media-reporting-guide&utm_campaign=ai_growth_agent)
- [How To Create Travel Ads That Actually Book Trips](https://tower33.com/articles/how-to-create-travel-ads/?utm_term=travel-paid-media-reporting-guide&utm_campaign=ai_growth_agent)
- [Destination Ad Performance Metrics: A Diagnostic Framework](https://tower33.com/articles/destination-advertising-performance-metrics/?utm_term=travel-paid-media-reporting-guide&utm_campaign=ai_growth_agent)
- [How to Run a Paid Media Lead Generation Audit](https://tower33.com/articles/paid-media-lead-generation-audit/?utm_term=travel-paid-media-reporting-guide&utm_campaign=ai_growth_agent)
- [How to Defend Your Ad Budget in a Finance Meeting](https://tower33.com/articles/paid-media-budget-defense-revenue/?utm_term=travel-paid-media-reporting-guide&utm_campaign=ai_growth_agent)

---

## Structured Data

**@graph:**

  **FAQPage:**

  **MainEntity:**

    **Question:**

    - **Name:** What Is The Difference Between Platform-Reported ROAS And Blended ROAS In Travel?
      **Answer:**

      - **Text:** Platform-reported ROAS is calculated by each ad platform using its own attribution window and its own definition of a conversion. Google, Meta, and metasearch platforms each count gross bookings within their respective windows and claim credit for any conversion that touched their platform. Because multiple platforms run simultaneously and their attribution windows overlap, the same booking is often counted by more than one platform. Summing platform-reported revenue across channels produces a total that exceeds what the business actually earned. Blended ROAS is calculated differently. It uses total revenue from the CRM or finance system divided by total ad spend across all channels. It does not rely on any platforms attribution model. It does not count gross bookings and instead uses the revenue figure the business actually recognizes. For travel specifically, blended ROAS should be calculated on net revenue after cancellations, not gross bookings at the time of reservation. Blended ROAS is the ROAS figure that reflects actual business performance rather than platform-attributed performance.
    **Question:**

    - **Name:** How Should Travel Marketers Handle Booking Lag In Paid Media Reporting?
      **Answer:**

      - **Text:** Booking lag is the gap between the date a traveler clicks an ad and the date they complete a booking. In travel, this gap can range from a few days for last-minute city breaks to 45 or more days for international itineraries and cruises. The problem for reporting is that most platforms attribute revenue to the click date, not the booking date. A campaign that drove a booking in November may have been clicked in August. When you review August performance, that revenue does not appear. When you review November performance, the campaign that drove the click looks unproductive. The fix requires two steps. First, extend attribution windows to match actual booking behavior. Google Ads allows click-through windows up to 90 days, and for complex travel products, windows of 60 to 90 days are more accurate than the 30-day default. Second, reconcile platform-reported conversions against CRM booking data by booking date rather than click date. This means pulling CRM records by the date the booking was created and matching them back to the campaign that drove the original interaction. It takes more work than reading a platform dashboard, and it is the only way to know which campaigns are actually driving bookings.
    **Question:**

    - **Name:** Why Does Separating Brand And Non-Brand Campaigns Matter So Much In Travel Reporting?
      **Answer:**

      - **Text:** Brand campaigns, such as ads that appear when someone searches your property name, cruise line, or tour brand, capture people who already know you exist and have already decided to consider you. Non-brand campaigns, such as ads that appear for destination searches, category searches, or competitor terms, reach people who have not yet identified you as an option. These two campaign types serve different purposes and have different economics. When brand and non-brand campaigns are blended into a single reporting view, the high ROAS of brand campaigns inflates the apparent performance of non-brand campaigns. A program that looks like it is generating strong returns from new demand may actually be spending most of its non-brand budget inefficiently while brand campaigns carry the numbers. Separating them reveals the true cost of acquiring a new traveler who did not already know you. That figure determines whether the program is growing the business or just harvesting existing demand. Tower33 treats brand and non-brand separation as a foundational measurement requirement, not an optional reporting preference.
    **Question:**

    - **Name:** What Is The Right Way To Account For Cancellations In Travel Paid Media Reporting?
      **Answer:**

      - **Text:** The right approach is to report three separate revenue figures: gross bookings at the time of reservation, net bookings after cancellations, and realized revenue after the stay or trip completes. Each figure answers a different question. Gross bookings tell you what the platform reported. Net bookings tell you what the business retained after cancellations. Realized revenue tells you what the business actually earned after the guest completed their travel. For paid media optimization, the relevant figure is net revenue after cancellations because that is the revenue the business keeps. Campaigns should be evaluated on their net contribution, not their gross booking value. This requires feeding cancellation data from the PMS or CRM back into the reporting system and rerunning channel credit on stayed revenue rather than booked revenue. Google Ads supports offline conversion imports and conversion adjustments that can restate a changed value or retract a cancelled reservation. This makes it technically possible to correct the bidding signal when bookings cancel, yet most accounts never implement this and leave the platform optimizing toward gross bookings that may never be realized.
    **Question:**

    - **Name:** How Do You Know If Your Current Travel Paid Media Reporting Is Accurate?
      **Answer:**

      - **Text:** The fastest diagnostic is to compare your platform-reported revenue across all channels against your CRM or finance revenue for the same period. If the sum of platform-reported revenue across Google, Meta, and metasearch exceeds your CRM revenue, you have attribution overlap, with multiple platforms claiming credit for the same bookings. If your platform-reported ROAS looks healthy but your business performance does not match, the reporting is likely counting gross bookings rather than net revenue after cancellations or attributing revenue to the wrong campaign period due to booking lag. A second diagnostic is to check whether your reported conversions include cancelled bookings. Pull a sample of bookings that the platform counted as conversions and check their status in the CRM six to eight weeks later. If a meaningful share cancelled and the platform never retracted the conversion, your ROAS figures are overstated. A third diagnostic is to check whether brand and non-brand campaigns are reported separately. If they are blended, you cannot know whether your non-brand spend is actually generating new demand or whether brand campaigns are carrying the numbers. Any of these three findings indicates that the reporting standard needs to be rebuilt before performance can be accurately judged.

  **BlogPosting:**

  - **Headline:** Travel Paid Media Reporting: Fix Your ROAS Numbers
  - **Description:** Platform ROAS is lying to your travel brand. Tower33 shows you the reporting standard that reflects real revenue. Get the audit checklist.
  - **DateModified:** 2026-10-15T10:58:42.535Z
  - **InLanguage:** en-US
    **Person:**

    - **Name:** Anthony Miller
    - **JobTitle:** Founder
    - **Description:** 20+ years in customer acquisition, digital marketing, search, social, analytics, and technology.Anthony has worked with hundreds of brands, managed hundreds of millions in ad spend, and founded both Tower33 and Travel Outside. Today, he works with select partners building and running customer acquisition ad programs through strategy, and hands-on management.
    - **Image:** https://cdn.aigrowthmarketer.co/1789075385176-314507977e6f.jpeg
    - **Url:** https://www.linkedin.com/in/anthonyoutside/
      **Organization:**

      - **Name:** Tower 33
      - **Url:** https://tower33.com/
    **Organization:**

    - **Name:** Tower33
    - **Url:** https://tower33.com


---

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## Citations

- [Wellness Campaign Optimization Tips: A Nine-Step Triage](https://tower33.com/articles/wellness-campaign-optimization-tips/)
- [Destination Advertising Strategies: A Practitioner’s Guide](https://tower33.com/articles/destination-advertising-strategies-guide/)
- [Optimizing Ad Copy for Paid Media Conversions](https://tower33.com/articles/optimize-ad-copy-paid-conversions/)
- [Paid Media Management Services: What You’re Buying](https://tower33.com/articles/paid-media-management-services-guide/)
- [Paid Media ROI: The Formula, Inputs, and Spreadsheet](https://tower33.com/articles/paid-media-roi-calculation-formula/)

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