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).
    Jump to the table

    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

    Columns (3)

    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

    Download JSON

    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

    Columns (2)

    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

    Download JSON

    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

    Columns (5)

    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.com

    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

    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

    10-K

    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

    PayPal Ads

    Published figure

    20 certified measurement partners at launch

    Type of evidence

    Company announcement

    Date

    6 Jan 2026

    Source

    PayPal

    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

    Download JSON

    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

    1. Ask for the counterfactual. Which customers were held out, how they were chosen, and how many. No holdout means the result is attribution.
    2. Ask for coverage. What share of category spending the data sees, and whether the panel of banks or cards changed during the period.
    3. Ask what was matched. Merchant locations, product data if any, and how missing locations are handled.
    4. Ask when the numbers are final. Authorization or clearing, return windows and restatement rules.
    5. 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?
    Because one company's payment data sees only part of a customer's spending, names merchants rather than products, and settles over days to months. Offers also reward customers who would have bought anyway, and privacy rules keep advertisers from joining results to their own data. Cards carried 79% of US noncash payments by number in 2024 but only part of all spending (Federal Reserve, 1 July 2026).
    Does Chase Media Solutions report its revenue?
    Not in any source we found on 9 November 2026. Chase publishes merchant spend driven by its offers ($11.2 billion in 2025, company claim) and customer counts (Chase Media Solutions). Merchant spend is not the bank's revenue.
    What is the difference between closed-loop measurement and incrementality?
    Closed-loop measurement links an exposure to a purchase in the same company's records. Incrementality estimates how many purchases the advertising caused, which needs a control group. The IAB rates platform-reported proxies without an independent control as weak evidence (IAB and IAB Europe, 3 November 2025).
    How long does card transaction data take to arrive?
    Authorization data arrives in seconds. Clearing typically starts once the merchant's bank collects the day's transactions and follows its schedule (Fidel API docs), and returns can follow weeks later. Rewards can be paid one to four months after redemption at Cardlytics (10-K).
    Can a bank share transaction data with advertisers?
    Not as a customer file with account numbers: Regulation P bars disclosing account numbers to nonaffiliated third parties for marketing, with narrow exceptions (12 CFR 1016.12). Banks share aggregate results or use service providers and clean rooms under contract. The detail is in GLBA and advertising with bank data.

    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

    1. 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
    2. 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
    3. JPMorgan Chase, "Chase Media Solutions" (accessed 9 November 2026). https://www.chase.com/mediasolutions/home
    4. 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
    5. Cardlytics, Inc., Form 10-Q for the quarter ended 30 September 2026. https://www.sec.gov/Archives/edgar/data/1666071/000162828026071002/cdlx-20260930.htm
    6. 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
    7. 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
    8. 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
    9. 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/
    10. 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)
    1. 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
    2. Fidel API, "Select Transactions API" and "MID Insights" documentation (accessed 9 November 2026). https://docs.fidelapi.com/docs/select/
    3. 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.