Commerce Media
Why financial media networks struggle with measurement, and what the public results show
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Financial media network measurement is hard for five reasons. A bank sees only spending on its own cards. Card records name the merchant, not the product. Offer attribution counts purchases that would have happened anyway. Settlement data arrives late. Privacy rules limit joins with advertiser data. Most published results are company claims, not independent tests.
Contents
Key facts
- Cards carry most payments by count, little by value. Cards made up 79% of US noncash payments by number in 2024 but 8% by value; card payments totalled $11.50 trillion (Federal Reserve Payments Study, 1 July 2026).
- Cash still covers about one payment in seven. Credit and debit cards accounted for two-thirds of consumer payments in the Federal Reserve's latest diary survey (Federal Reserve Financial Services, 11 May 2026).
- The largest issuer sees a large but partial slice. Chase says its customers' credit and debit card sales reach $1.94 trillion a year, and that Chase Offers drove $11.2 billion of merchant spend in 2025 (company claims) (Chase Media Solutions, accessed 9 November 2026).
- Coverage can drop overnight. Cardlytics says it ingests about one in two US debit and credit card transactions (company statement) (10-K, filed 4 March 2026). Its monthly qualified users then fell by 43.7 million in a year, mainly because a US bank partner left (10-Q, Q3 2026).
- Some networks now label incremental results separately. PayPal reported a 7.3x incremental return on ad spend and a 14.9% incremental transaction lift for one retailer, and a 6.25x ROAS without that label for another (PayPal internal data) (PayPal, 22 June 2026).
Definition
Financial media network measurement: linking ad or offer exposure to purchases in a bank's or payment company's own transaction data, and estimating how many of those purchases the advertising caused.
A financial media network sells advertising on payment data; the business models are explained in financial media networks explained. Most measurement starts as closed-loop measurement: the same company records the exposure and the purchase. The commerce media hub covers the wider category.
Five problems, one table
5 of 5 rows
Card coverage | Purchases on other banks' cards, in cash or by bank transfer are invisible | What share of category spending your data sees, and how you treat the rest |
Merchant matching | The record shows a merchant, not a product; locations and descriptors vary | How merchants are mapped, and whether product-level data exists |
Offer attribution | Customers who would have bought anyway are counted as results | Whether a randomised holdout is run, and its size |
Late settlement | Sales, returns and rewards settle days to months later | When results are final, and how restatements work |
Privacy limits on joins | Advertisers cannot match results to their own customer data at person level | What can be matched, by whom, and with what thresholds |
Card coverage
- What goes wrong
Purchases on other banks' cards, in cash or by bank transfer are invisible
- What to ask the network
What share of category spending your data sees, and how you treat the rest
Merchant matching
- What goes wrong
The record shows a merchant, not a product; locations and descriptors vary
- What to ask the network
How merchants are mapped, and whether product-level data exists
Offer attribution
- What goes wrong
Customers who would have bought anyway are counted as results
- What to ask the network
Whether a randomised holdout is run, and its size
Late settlement
- What goes wrong
Sales, returns and rewards settle days to months later
- What to ask the network
When results are final, and how restatements work
Privacy limits on joins
- What goes wrong
Advertisers cannot match results to their own customer data at person level
- What to ask the network
What can be matched, by whom, and with what thresholds
Table by AdSovereign, CC BY 4.0.
Card data covers only part of the wallet
A card issuer sees what its customers spend on its cards. It does not see the same customers' purchases on a rival's card, in cash or by bank transfer. The Federal Reserve's diary survey found that credit and debit cards together carry about two-thirds of consumer payments (Federal Reserve Financial Services, 11 May 2026). The rest never reaches a card network at all.
Even inside card spending, one issuer holds a slice. Chase's $1.94 trillion of annual card sales, set against $11.50 trillion of US card payments in 2024, is roughly 17% (Chase; Federal Reserve). That is our calculation. The two figures use different years and definitions, so treat it as an order of magnitude. A shopper who buys groceries on a Chase card and fuel on another bank's card looks like a lost fuel customer to Chase.
Coverage matters for two reasons. First, sales reported by a network are a floor, not the brand's total effect. Second, coverage is not stable. When a bank leaves a multi-bank platform, its customers disappear from the data, as Cardlytics' 43.7 million drop in monthly qualified users shows (10-Q, Q3 2026). Year-on-year comparisons on such a platform need the same panel of banks in both years.
Merchant matching: the record says where, not what
A card transaction names a merchant and an amount. It does not list the items in the basket. That suits a restaurant chain or a retailer measuring store visits, but a brand that sells through retailers sees only "purchase at a grocery chain". It cannot tell its cereal from another brand's.
Matching the merchant is harder than it sounds. Each store location carries its own merchant identifier on each card network. Card-linking provider Fidel API, for example, tracks each onboarded identifier with network-specific IDs and onboarding dates (Fidel API docs, accessed 9 November 2026). A missing location means missing sales. Franchises, marketplaces and wallet payments add more ways for a purchase to be misfiled.
Product data must come from somewhere else. Cardlytics built a second platform, Bridg, on point-of-sale data that includes product-level purchases. In January 2026 it agreed to sell substantially all of Bridg's assets to an affiliate of PAR Technology (Cardlytics 10-K). For consumer packaged goods brands, that leaves card data as a store-level signal unless a retailer adds item data.
Offer attribution counts sales that would have happened anyway
Card-linked offers make attribution easy: the purchase that earns the reward is the record the report counts. Card-linked offers are explained step by step in card-linked offers explained. The pricing often follows the same record. Cardlytics' main model charges a percentage of all purchases by customers who were served an offer during the campaign, "regardless of whether" they activate it (10-K). Chase charges brands "only when a customer views a campaign and makes a purchase" (Chase).
Neither rule asks whether the advertising caused the purchase. The IAB and IAB Europe guidelines put it plainly: attribution and ROAS "show what happened, not whether marketing caused the result" (IAB and IAB Europe, 3 November 2025). The same guidelines rate new-to-brand share, exposed-versus-baseline comparisons and platform-reported incrementality as "hybrid proxies" with weak causal strength. Incrementality needs a credible counterfactual, such as a randomised holdout.
A worked illustration. The numbers below are invented to show the arithmetic; they describe no real network.
11 of 11 rows
Customers shown the offer | 100,000 |
Of those, customers who bought during the campaign | 8,000 (8%) |
Average purchase | $50 |
Attributed sales | $400,000 |
Campaign cost, fees and rewards included | $40,000 |
Attributed ROAS | 10.0x |
Holdout group of similar customers not shown the offer, purchase rate | 7% |
Buyers expected without the offer (7% of 100,000) | 7,000 |
Incremental buyers | 1,000 |
Incremental sales | $50,000 |
Incremental return on ad spend (iROAS) | 1.25x |
Customers shown the offer
- Value
100,000
Of those, customers who bought during the campaign
- Value
8,000 (8%)
Average purchase
- Value
$50
Attributed sales
- Value
$400,000
Campaign cost, fees and rewards included
- Value
$40,000
Attributed ROAS
- Value
10.0x
Holdout group of similar customers not shown the offer, purchase rate
- Value
7%
Buyers expected without the offer (7% of 100,000)
- Value
7,000
Incremental buyers
- Value
1,000
Incremental sales
- Value
$50,000
Incremental return on ad spend (iROAS)
- Value
1.25x
Table by AdSovereign, CC BY 4.0.
The campaign is still profitable at 1.25x if margins allow, but it is not a 10x channel. The gap is what the IAB means by the difference between attribution and incremental measurement. Offers to existing customers are where the gap is widest, because many of them were going to buy anyway.
Public claims rarely say which number they report. Mastercard claims its network produces up to 22 times return on ad spend in verticals such as retail and travel (company claim, as reported by Marketing Dive, 1 October 2025). PayPal's June 2026 release is more explicit, labelling one result "incremental" and another simply "ROAS" (PayPal, 22 June 2026). Ask for the label before you compare.
Settlement data arrives late and changes
A card payment happens in two steps. Authorization approves the purchase in seconds. Clearing, which moves the money, typically starts when the merchant's bank collects the day's transactions, then follows that bank's processing schedule (Fidel API docs, accessed 9 November 2026). Returns and chargebacks can reverse a sale weeks later. Rewards trail further: Cardlytics says it generally pays consumer incentives one to four months after redemption (10-K).
So a mid-campaign report is preliminary. A network that optimises on authorizations will count some sales that are later returned; one that waits for clearing reports later. Neither is wrong, but the report should say which it uses. The IAB/MRC retail media guidelines require attribution windows to be disclosed before a campaign runs. They also require the basis of any forecast that extends short results to 12 months to be disclosed (IAB/MRC, January 2024). How those guidelines apply to commerce media is covered in retail media measurement standards explained.
Privacy limits on joins
Banks cannot hand advertisers a customer file. Regulation P bars a financial institution from disclosing a card or account number to a nonaffiliated third party for marketing, with narrow exceptions (12 CFR 1016.12). Other customer data moves only under the notice, opt-out and service-provider rules covered in GLBA and advertising with bank data.
Networks design around that. Cardlytics says it analyses purchase data "without any personal data leaving" its bank partners and that the data it receives is anonymised (company statement) (10-K). The advertiser gets aggregate reports. It cannot join them to its own loyalty or e-commerce data at person level, so it cannot check the network's work directly.
Two responses are emerging. PayPal launched a measurement partner program with 20 certified third parties, including Circana, Experian and Kantar, so brands can validate results "with their own source of truth" (PayPal, 6 January 2026). Clean rooms let both sides match records under agreed thresholds, and the IAB/MRC guidelines require transparency in how such third-party matching is done (IAB/MRC, January 2024).
What the public results of Chase, Cardlytics, PayPal and Mastercard show
The table lists what four networks have published. Filings are audited or regulated disclosures; everything else is a company claim.
7 of 7 rows
Chase Media Solutions (profile) | $11.2B merchant spend driven by Chase Offers in 2025; 84M customers; $1.94T annual card sales; incremental lift reports offered | Company claim | Accessed 9 Nov 2026 | |
Chase Media Solutions | Revenue | n/d | 9 Nov 2026 | Not found in the sources reviewed |
Cardlytics (profile) | Q3 2026 revenue $32.9M (down 30%), billings $57.2M (down 32%), 186.6M monthly qualified users (down 19%) | Company results release (8-K) | 5 Nov 2026 | |
Cardlytics | Ingests about one in two US debit and credit card transactions | Company statement in a filing | Filed 4 Mar 2026 | |
PayPal Ads (profile) | Adorama: 7.3x incremental ROAS, 14.9% incremental transaction lift, 56% new buyers; Best Buy: 6.25x ROAS | Company claim, PayPal internal data, campaigns February to April 2026 | 22 Jun 2026 | |
PayPal Ads | 20 certified measurement partners at launch | Company announcement | 6 Jan 2026 | |
Mastercard Commerce Media (profile) | Up to 22x ROAS in some verticals; 25,000 advertisers; 500M enrolled customers | Company claim reported by trade press | 1 Oct 2025 |
Chase Media Solutions (profile)
- Published figure
$11.2B merchant spend driven by Chase Offers in 2025; 84M customers; $1.94T annual card sales; incremental lift reports offered
- Type of evidence
Company claim
- Date
Accessed 9 Nov 2026
- Source
Chase Media Solutions
- Published figure
Revenue
- Type of evidence
n/d
- Date
9 Nov 2026
- Source
Not found in the sources reviewed
Cardlytics (profile)
- Published figure
Q3 2026 revenue $32.9M (down 30%), billings $57.2M (down 32%), 186.6M monthly qualified users (down 19%)
- Type of evidence
Company results release (8-K)
- Date
5 Nov 2026
- Source
Cardlytics
- Published figure
Ingests about one in two US debit and credit card transactions
- Type of evidence
Company statement in a filing
- Date
Filed 4 Mar 2026
- Source
PayPal Ads (profile)
- Published figure
Adorama: 7.3x incremental ROAS, 14.9% incremental transaction lift, 56% new buyers; Best Buy: 6.25x ROAS
- Type of evidence
Company claim, PayPal internal data, campaigns February to April 2026
- Date
22 Jun 2026
- Source
PayPal Ads
- Published figure
20 certified measurement partners at launch
- Type of evidence
Company announcement
- Date
6 Jan 2026
- Source
Mastercard Commerce Media (profile)
- Published figure
Up to 22x ROAS in some verticals; 25,000 advertisers; 500M enrolled customers
- Type of evidence
Company claim reported by trade press
- Date
1 Oct 2025
- Source
Table by AdSovereign, CC BY 4.0.
Two patterns stand out. Of the four, only Cardlytics publishes revenue for its network, in regulatory filings; the network profiles list the others' revenue as n/d. And only one result in the table is labelled incremental, with no published control design.
Chase Media Solutions revenue. We found no revenue figure for Chase Media Solutions on its own pages or in the other sources reviewed for this page on 9 November 2026. Its public numbers describe merchant spend driven by offers, which is the merchants' sales, not Chase's income. The Chase Media Solutions profile tracks any disclosure.
How to read a financial media network's results
- Ask for the counterfactual. Which customers were held out, how they were chosen, and how many. No holdout means the result is attribution.
- Ask for coverage. What share of category spending the data sees, and whether the panel of banks or cards changed during the period.
- Ask what was matched. Merchant locations, product data if any, and how missing locations are handled.
- Ask when the numbers are final. Authorization or clearing, return windows and restatement rules.
- Ask who else can check. Independent partners, clean room access and the thresholds that apply.
These five questions are part of the measurement group in our commerce media platform RFP, which scores vendor answers.
FAQ
Why is financial media network measurement so hard?
Does Chase Media Solutions report its revenue?
What is the difference between closed-loop measurement and incrementality?
How long does card transaction data take to arrive?
Can a bank share transaction data with advertisers?
How this works on owned infrastructure
The hardest of the five problems is the holdout: you need a control group drawn before the campaign and kept clean during it. When a platform vendor runs the targeting, the holdout design, its size and its contamination checks sit in the vendor's system, and the bank or brand sees the result. AdSovereign is an enterprise RTB stack with a DMP and clean room designed to run inside a bank's own environment, so the bank can draw and keep holdouts itself and show advertisers the method. Transaction data stays in place while exposure and purchase are joined. The architecture page shows where the clean room sits, and use cases describes the financial media setup.
Sources
- Board of Governors of the Federal Reserve System, "The 2025 Federal Reserve Payments Study: National payment volumes, top-line data (CY 2015-24)" (1 July 2026). https://www.federalreserve.gov/paymentsystems/frps_cy2015_24_topline.htm
- Federal Reserve Financial Services, "2026 Diary of Consumer Payment Choice: consumer habits hold steady as payment options grow" (11 May 2026). https://www.frbservices.org/news/press-releases/051126-findings-2026-diary-consumer-payment-choice
- JPMorgan Chase, "Chase Media Solutions" (accessed 9 November 2026). https://www.chase.com/mediasolutions/home
- Cardlytics, Inc., Form 10-K for fiscal year 2025 (filed 4 March 2026). https://www.sec.gov/Archives/edgar/data/1666071/000166607126000010/cdlx-20251231.htm
- Cardlytics, Inc., Form 10-Q for the quarter ended 30 September 2026. https://www.sec.gov/Archives/edgar/data/1666071/000162828026071002/cdlx-20260930.htm
- Cardlytics, Inc., "Cardlytics Reports Third Quarter 2026 Financial Results" (Form 8-K exhibit 99.1, 5 November 2026). https://www.sec.gov/Archives/edgar/data/1666071/000162828026070992/cdlx_form8-kx2026q3xex991.htm
- PayPal, "PayPal Ads Delivers Bottom-Line Growth Advertisers Can Measure" (22 June 2026). https://newsroom.paypal-corp.com/2026-06-22-PayPal-Ads-Delivers-Bottom-Line-Growth-Advertisers-Can-Measure
- PayPal, "CES 2026: PayPal Ads Unveils Transaction Graph Insights and Measurement Partnership Program" (6 January 2026). https://newsroom.paypal-corp.com/2026-01-06-PayPal-Ads-Unveils-Transaction-Graph-Insights-and-Measurement-Partnership-Program
- Marketing Dive, "Mastercard wants a bigger piece of a retail media pie" (1 October 2025). https://www.marketingdive.com/news/mastercard-bigger-grab-commerce-media-dollars-new-network/761568/
- IAB and IAB Europe, "Guidelines for Incremental Measurement in Commerce Media" (3 November 2025). https://www.iab.com/wp-content/uploads/2026/01/IAB_and_IAB_Europe_Guidelines_Incremental_Measurement_Commerce_Media_November_2025.pdf
More sources (3)
- IAB and MRC, "Retail Media Measurement Guidelines" (January 2024). https://www.iab.com/wp-content/uploads/2024/01/IAB_Retail_Media_Measurement_Guidelines_January2024.pdf
- Fidel API, "Select Transactions API" and "MID Insights" documentation (accessed 9 November 2026). https://docs.fidelapi.com/docs/select/
- Cornell LII, 12 CFR 1016.12, "Limits on sharing account number information for marketing purposes" (accessed 9 November 2026). https://www.law.cornell.edu/cfr/text/12/1016.12
Changelog
- 9 November 2026. First edition: five measurement problems, worked holdout illustration, public results table for Chase, Cardlytics, PayPal and Mastercard. Next review 9 February 2027.