Whistleblower Says Meta Inflated Shops Ads ROI to Lure Brands Post-Apple Privacy

Quick listen: Meta’s inflated Shops Ads ROI — and what agencies must do next, in under 2 minutes.

When numbers lie, clients walk.

Meta has been accused of inflating the performance of its Shops Ads product by 17–19%.

The allegation comes from a whistleblower complaint filed in London’s Central Employment Tribunal on August 20, 2025.

The filing comes from former Meta product manager Samujjal Purkayastha, who worked on the Shops Ads team from 2022 until his dismissal in February 2025.

Purkayastha alleges that Meta:

• Counted shipping fees and taxes as sales revenue, inflating return on ad spend (ROAS).
• Subsidized ad auctions, in some cases covering up to 100% of bids, to make Shops Ads appear more competitive.
• Applied undisclosed discounts and free ad credits, with CEO Mark Zuckerberg allegedly approving a $160 million subsidy budget during testing.

According to internal reviews cited in the complaint, without these practices, Shops Ads performed no better than Meta’s standard ad formats.

Privacy Workarounds and Industry Fallout

The complaint says Meta built tracking tools that may have bypassed Apple’s 2021 privacy rules, which were expected to cost the company $10 billion.

Meta has denied the accusations, telling media outlets that the company is “actively defending these proceedings” and that the allegations are “without merit.”

A judge has already rejected Purkayastha’s request for interim relief, but a full hearing is scheduled for next year.

Meta’s issues with inflated metrics aren’t new.

In 2019, Facebook settled for $40 million after admitting it overstated video viewership.

Claims included average watch times inflated by as much as 900%, which advertisers say led to faulty campaign decisions and wasted budgets.

Platform Trust & ROI Accuracy

Inflated ROAS is more than a reporting quirk.

It disrupts how budgets are set and how campaign success is judged.

When platforms use hidden methods to calculate results, marketers move money based on flawed data, often into formats that underperform.

The Meta case shows how a simple change in what counts as “revenue” can quietly reroute millions in ad spend.

Implications of Apple’s Privacy Changes

Apple’s 2021 App Tracking Transparency (ATT) update forced Meta to rethink how it supported advertisers.

With less access to iOS tracking data, the company promoted Shops Ads as a way to capture more purchase activity directly inside Facebook and Instagram.

This raises a critical question: are new ad products designed to strengthen campaign outcomes, or mainly to recover lost data for the platform itself?

CMOs should weigh whether the value promised reflects genuine performance improvements or simply shifts where transactions take place.

Risk in Relying Only on Platform Metrics

This case highlights a larger industry problem.

Many marketers take platform dashboards at face value, rarely validating results with outside tools.

When numbers look unusually strong, the right questions to ask include:

• How exactly are revenue and ROAS being defined?
• Are subsidies or discounts affecting results?
• Would the same spend perform as well on another platform?

Without these checks, advertisers risk comparing apples to oranges, which weakens campaign decisions and cross-platform planning.

Subsidized Ad Auctions and Hidden Discounts

According to the filings, Meta covered as much as 100% of certain Shops Ads bids and committed $160 million in free ad placements to make the format look stronger.

These subsidies gave the impression of higher ROI but distorted auction fairness, making real performance comparisons nearly impossible.

The concern is straightforward: if platforms can tilt auctions in favor of their own products, advertisers lose a reliable way to judge what works best.

What Agencies Should Do Next

To protect client budgets and credibility, agencies should:

• Review past Shops Ads performance data to see if outcomes hold up without inflated figures.
• Insert transparency clauses into contracts with platforms and media partners.
• Use third-party tools to validate performance rather than depending on one platform’s reporting.
• Reassess how budgets are divided so no single product carries undue weight without verification.

Long-Term Reputation Risks

Even if technically within the rules, manipulating metrics damages trust.

Once advertisers lose confidence in reported performance, the fallout can include client churn, lawsuits, and broken relationships with platforms.

The larger lesson is simple: ad data should be treated with the same scrutiny as financial reporting.

Lessons for Agencies Navigating Platform Metrics

As I see it, this case goes beyond Meta and highlights how agencies must guard the trust their clients place in them.

Here are the key lessons:

• Audit past data: Review historical ROAS figures from Shops Ads and confirm they reflect real value.
• Secure clarity in contracts: Require disclosure on how performance is calculated before budgets are committed.
• Verify with outside tools: Do not rely solely on platform dashboards. Independent checks provide balance.
• Balance the ad mix: Avoid putting too much budget into one product unless results are validated independently.

For me, what stands out is that data integrity has become a competitive advantage.

Agencies that treat performance reporting with the same seriousness as financial auditing will be the ones clients stick with when the next metrics controversy emerges.

To see how another $10 billion misstep unfolded, check out DesignRush’s take on Apple’s failed EV push compared to Xiaomi’s rapid success.

 If your ROAS sounds too good to be true, these firms help you double-check before you overspend.