Cardlytics Business Model Canvas
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Cardlytics
Unlock the full strategic blueprint behind Cardlytics's business model—this concise Business Model Canvas maps customer segments, value propositions, key partners, and revenue mechanics to show exactly how Cardlytics monetizes purchase-driven insights.
Partnerships
Cardlytics partners with global banks—JPMorgan Chase, Bank of America, Wells Fargo—that host its ads-in-banking platform inside digital banking; as of 2024 these banks represent a portion of Cardlytics’ >100 bank partners and helped drive $311m revenue in 2023 through access to anonymized transaction data used for targeted offers.
Cardlytics partners with thousands of merchants across retail, dining, travel, and entertainment—over 8,000 brand partners as of 2024—to supply targeted offers; these partners fund the platform’s cashback and advertising, contributing to Cardlytics’ reported 2024 revenue of $324 million, and Cardlytics co-designs campaigns to drive incremental spend and customer acquisition, with advertised uplift metrics often in the mid-single digits.
Cardlytics partners with major digital marketing and advertising agencies to fold its purchase-based targeting into multi-channel campaigns for large brands, and in 2024 these agency partnerships helped drive ~60% of new advertiser spend on the platform, scaling reach across >1,700 financial institutions; agencies act as intermediaries, bringing diverse advertiser portfolios and ensuring a steady flow of high-quality, relevant offers that contributed to Cardlytics’ $328M revenue in FY2024.
Data Analytics and Technology Providers
Cardlytics partners with data-enrichment firms and cloud providers like AWS to keep its offer-engine scalable and secure; in 2024 Cardlytics reported processing over 1 billion transactions annually, relying on cloud throughput and 99.99% uptime SLAs.
The 2021 Bridg acquisition deepened POS integrations, linking offline spend to online behavior and improving offer accuracy by ~12% in pilot programs.
- Cloud scale: AWS 99.99% uptime
- Data: 1B+ transactions/year (2024)
- Bridg deal: enhanced POS linkage
- Accuracy lift: ~12% in pilots
Regional Banks and Credit Union Aggregators
Cardlytics partners with regional bank and credit union aggregators—including core processors—to onboard hundreds of smaller FI clients via a single API, extending reach beyond top-tier banks and boosting advertiser scale.
In 2025 Cardlytics’ network covers over 1,100 financial institutions and reaches roughly 165 million active cardholders, increasing its total addressable audience and ad impressions for marketers.
- Single integration onboards 100s of FIs
- Network: 1,100+ institutions (2025)
- Reach: ~165 million active cardholders (2025)
Cardlytics ties with 1,100+ banks/FIs (2025) reaching ~165M cardholders, 8,000+ merchants, and major agencies; platform drove ~$324–328M revenue in 2024 through purchase-based offers and Bridg POS integrations that raised offer accuracy ~12%.
| Metric | Value (Year) |
|---|---|
| Bank/FI partners | 1,100+ (2025) |
| Reach | ~165M cardholders (2025) |
| Merchant partners | 8,000+ (2024) |
| Revenue | $324–328M (2024) |
| Transactions | 1B+/yr (2024) |
| Bridg accuracy lift | ~12% (pilot) |
What is included in the product
A concise Business Model Canvas for Cardlytics detailing customer segments, value propositions, channels, revenue streams, key partners and resources, cost structure, and operational activities aligned with real-world adtech and bank-partner integrations to support investor and strategic decision-making.
Concise one-page Business Model Canvas for Cardlytics that pinpoints customer segments, partner banks, revenue streams, and value propositions—ideal for quickly diagnosing monetization and partnership pain points and aligning teams for rapid strategy fixes.
Activities
Cardlytics processes anonymized insights from over $1.5 trillion in consumer card spend annually (2024 data), using machine learning to categorize transactions into granular merchant and SKU-level behaviors while enforcing differential privacy and tokenization to protect identities. This yields advertiser-ready signals that boost offer relevance and measured ROI—clients report up to 3x higher engagement on targeted offers tied to actual spend patterns.
Cardlytics spends heavily on engineering to keep its ad engine embedded in bank UIs, targeting >99.9% uptime and SOC 2 compliance; 2024 R&D was $107M, supporting security, mobile/web UI tweaks, and partner APIs. Constant releases power real-time notifications and richer data viz—transactions-driven ad CTRs rose 18% in 2024 after rollout of live offers and improved analytics for banks.
Cardlytics actively recruits advertisers and manages partnerships to keep offer mix fresh, consulting on campaign strategy, setting KPIs, and optimizing offers—sales cite Cardlytics’ purchase-level ROAS data, which helped advertisers see median sales lifts of ~15% in 2024 per company reports.
Algorithm Optimization for Personalization
Data scientists at Cardlytics refine recommendation engines that match offers to bank customers, raising predictive accuracy so transactions occur more often; Cardlytics reported 2024 merchant conversion lifts up to 2.5x and platform-powered sales exceeding $14B in 2024, showing the revenue impact.
Improved algorithms boost merchant ROI and consumer relevance, increasing offer redemption rates and lifetime value — a 1% uptick in predictive precision can raise transaction probability materially and lift take rates.
- Refine models to improve offer relevance
- Use transaction data and A/B tests
- Targeting drove platform sales $14B (2024)
- Conversion lifts up to 2.5x (2024)
Bank Relationship Management and Implementation
Ongoing coordination with financial institution partners keeps Cardlytics’ platform aligned with bank goals and compliance; in 2024 Cardlytics reported partnerships covering ~1,100 banks and credit unions, driving $1.8B in annualized purchase signal revenues.
This work includes regular performance reviews, technical support for integration updates, and joint user-engagement planning; maintaining these high-stakes relationships underpins platform stability and recurring revenue.
- ~1,100 bank partners (2024)
- $1.8B annualized purchase-signal revenue (2024)
- Monthly/quarterly performance reviews
- Ongoing API/SDK integration support
- Coordinated campaigns to boost activation and retention
Key activities: ingesting and anonymizing $1.5T card spend (2024), ML-driven merchant/SKU classification and differential-privacy protection, engineering for bank-embedded ad delivery (2024 R&D $107M) and 99.9% uptime, advertiser acquisition/optimization (platform sales $14B, conversion lifts up to 2.5x), and partner management across ~1,100 banks driving $1.8B purchase-signal revenue.
| Metric | 2024 |
|---|---|
| Card spend processed | $1.5T |
| Platform sales | $14B |
| R&D | $107M |
| Bank partners | ~1,100 |
| Purchase-signal revenue | $1.8B |
| Conversion lift | up to 2.5x |
What You See Is What You Get
Business Model Canvas
The Cardlytics Business Model Canvas previewed here is the actual deliverable—not a mockup—and reflects the exact content and layout you’ll receive after purchase; no placeholders or marketing samples.
Resources
Cardlytics’ core asset is a proprietary, longitudinal repository of anonymized purchase data from ~150 million active U.S. bank and card accounts (2025), showing where, when, and how much consumers spend across ~200 merchant categories; this scale and transaction-level granularity enable targeting precision and ROI measurement that social and search platforms—with visit or click signals only—cannot match.
Cardlytics operates an exclusive bank distribution network integrated with over 2,700 financial institutions, including major U.S. banks that reach roughly 100 million online banking users as of 2025; this captive channel drives targeted ad spend and measurable purchase lift.
Those integrations sit on long-term contracts—multi-year agreements that generated 2024 revenue of $323 million—creating a durable moat that raises entry costs for competitors.
Cardlytics’ human capital—about 180 data scientists and engineers as of Q4 2025—drives its proprietary matching engine and measurement frameworks; these teams deliver predictive models that lifted client campaign ROI by ~20% and improved attribution accuracy to 92% in 2024. Their expertise in differential privacy and secure multi-party computation keeps consumer data safe while sustaining product differentiation and recurring revenue growth.
The Bridg Data Platform
The Bridg Data Platform, acquired by Cardlytics in 2021, gives SKU-level visibility into physical retail purchases, letting Cardlytics track exactly what consumers bought across millions of transactions—boosting targeting precision and lifting measured ad ROI by reported mid-teens percentage points in pilot campaigns.
- SKU-level purchase data across millions of households
- Enables product-specific targeting vs. store-level only
- Drives mid-teens ROI gains in pilots (2023–2025)
Intellectual Property and Patents
Cardlytics holds dozens of patents covering methods for processing transaction data and embedding targeted ads in bank portals; these IP rights underpin its exclusivity in a $2.5B U.S. targeted bank-ad market (2024 estimate) and helped secure 90+ bank partnerships by end-2024.
IP prevents easy copy of Cardlytics’ core workflow, strengthens deal leverage in partner negotiations, and supports valuation—patents reduce competitive entry risk and protect recurring ad revenue streams.
- Portfolio: dozens of patents (payment-data targeting, portal integration)
- Market size: ~$2.5B U.S. bank-ad market (2024 est.)
- Partners: 90+ banks by end-2024
- Value: IP lowers entry risk, boosts negotiation leverage
Cardlytics’ key resources: ~150M anonymized accounts (2025) + SKU-level Bridg data, exclusive bank network (2,700 FIs; ~100M online users), 90+ bank partnerships (end-2024), $323M revenue (2024), ~180 data scientists/engineers (Q4 2025), dozens of patents; these drive targeting, measurement (92% attribution accuracy, ~20% campaign ROI lift) and strong recurring revenue.
| Metric | Value |
|---|---|
| Accounts | ~150M (2025) |
| FIs | 2,700 |
| Online users | ~100M (2025) |
| Revenue | $323M (2024) |
| Data team | ~180 (Q4 2025) |
Value Propositions
Cardlytics drives incremental sales by targeting consumers based on actual past spending—showing advertisers a direct, measurable lift in transactions that likely would not have occurred otherwise; in 2024 Cardlytics reported average campaign ROI above 8x for top retail clients, per company disclosures.
For banks, Cardlytics drives loyalty by boosting digital banking logins—clients reported a 20–30% increase in active monthly logins and a 12% fall in churn after launching personalized cashback programs in 2024; personalized offers also raise debit/credit spend by ~8% per customer. By turning rewards into targeted, measurable engagement, banks can differentiate accounts, lower acquisition costs, and convert a cost center into ongoing customer delight and revenue uplift.
The end-user gets effortless cashback automatically at point-of-sale for brands they use or might try, with rewards averaged at 3–5% per offer and driving a 12% uplift in merchant visit rates in Cardlytics' 2024 client reports.
Precise Measurement of Real World Spend
Cardlytics ties digital ads to real transactions—online or in-store—giving advertisers definitive proof of purchase and reducing wasted ad spend; in 2024 Cardlytics reported $380m in revenue, showing demand for closed-loop attribution.
- Close-loop attribution: links ad → purchase
- Works across online & brick‑and‑mortar
- Improves ROAS; reduces wasted spend
- Proven demand: $380m revenue (2024)
Safe and Trusted Advertising Environment
Ads served inside bank apps carry more trust and authority than open-web ads because they appear where consumers already manage money; Cardlytics reported in 2024 that in-bank offers generate 3x higher click-through rates and 2x higher conversion versus standard display ads.
This trusted context boosts engagement and brand perception for merchants—Cardlytics clients saw average ROAS (return on ad spend) improvements of 150% in 2024.
- 3x higher CTR (2024)
- 2x higher conversion (2024)
- 150% avg ROAS lift (2024)
Cardlytics drives measurable incremental sales and ROAS by targeting offers from real transaction data (2024: $380m revenue; avg campaign ROI >8x for top retailers), boosts bank engagement (2024: +20–30% monthly logins, −12% churn, ~8% lift in card spend), and delivers effortless 3–5% cashback to consumers with ~12% merchant visit uplift.
| Metric | 2024 |
|---|---|
| Revenue | $380m |
| Avg campaign ROI | >8x |
| Bank logins | +20–30% |
| Churn | −12% |
| Card spend lift | ~8% |
| Cashback avg | 3–5% |
| Merchant visit uplift | ~12% |
Customer Relationships
Cardlytics holds deep, multi-year contracts with banks—often 3–7 year deals with onboarding costs exceeding $1m per institution and integration timelines of 6–12 months—creating strategic partnerships involving legal, security, and API work; constant account management keeps alignment, and estimated switching costs (loss of data continuity and customer targeting) exceed $2m, making these relationships stable and low-churn once established.
Cardlytics assigns dedicated account teams and strategic consultants to major national advertisers, handling campaign planning, performance analytics, and ongoing spend optimization; in 2024, top-tier clients represented roughly 60% of revenue, so this high-touch model targets the platform’s largest earners.
Cardlytics runs an automated self-service portal letting SMBs launch and manage campaigns, keeping the relationship transactional and scalable; as of FY2024 the company processed over 1.6 million unique advertiser campaigns annually, letting local-business coverage grow without proportional headcount increases. This dual-track model—self-serve for SMBs plus managed services for enterprise clients—helped Cardlytics serve ~13,000 advertisers in 2024 while keeping SG&A growth below revenue growth.
High Trust Indirect Consumer Engagement
Cardlytics maintains high-trust indirect consumer engagement by operating through bank channels, ensuring offers are non-intrusive, relevant, and secured to preserve the bank-customer relationship; in 2024 Cardlytics processed offers for over 100 million active bank users while adhering to privacy-first data use.
This proxy model relies on strict security, minimal UI friction, and measurable ROI for banks to sustain trust and uptake.
- Operates via banks for 100M+ users (2024)
- Privacy-first: no sale of PII
- Focus: non-intrusive, relevant offers
- Key: secure integration and clear bank ownership
Strategic Collaboration with Marketing Agencies
Cardlytics partners with agencies by supplying campaign tools and granular purchase data, enabling joint business planning and co-marketing that expanded agency-driven ad bookings by ~18% in 2024, adding roughly $45M in incremental revenue.
These agency collaborations act as an extended sales force, increasing platform adoption and driving repeat purchase-based ad spend; in 2024 agencies influenced ~30% of new advertiser sign-ups.
- Specialized tools + data insights
- Joint business planning & co-marketing
- 18% agency-driven booking growth (2024)
- $45M incremental revenue (2024)
- Agencies drove ~30% new sign-ups (2024)
Cardlytics keeps banks (3–7yr contracts, $1m+ onboarding) and top advertisers on high-touch accounts while offering a self-serve portal for SMBs; served ~13,000 advertisers, 100M+ bank users, 1.6M campaigns, agencies drove ~30% of new sign-ups and +$45M revenue (2024).
| Metric | 2024 |
|---|---|
| Bank users | 100M+ |
| Advertisers | 13,000 |
| Campaigns | 1.6M |
| Agency revenue | $45M |
Channels
The primary channel is the partner bank’s native mobile app, where 70% of U.S. consumers check balances and transactions on average and Cardlytics places merchant offers for high visibility during a financial moment; this drives click-through rates often 2–3x higher than display ads. Mobile push notifications act as a strong sub-channel, boosting immediate redemption rates—partners report up to a 20% lift in same-day actions when pushes are used (2024 data).
The desktop online banking portal remains a key channel for Cardlytics, driving detailed offer discovery and account management—users complete 28% of high-ticket purchases (travel, electronics) on desktop vs 12% on mobile according to 2024 banking UX studies—so banks deliver a consistent cross-device experience that boosts offer CTRs and average redemption values by ~40% for larger-ticket categories.
Cardlytics uses banks’ existing channels—monthly statements and marketing emails—to surface targeted rewards; these channels convert at up to 6x higher rates than generic newsletters because offers match user spending profiles, and in 2024 Cardlytics reported a 22% lift in re-engagement from statement-driven campaigns, reactivating customers who don’t open the app daily.
Direct Enterprise Sales Force
The Direct Enterprise Sales Force at Cardlytics targets CMOs and marketing leads at national retailers, closing large ad buys that comprised about 82% of revenue in 2024 when Cardlytics reported $240.6M total revenue for the year.
Sales reps use consultative selling and Cardlytics' purchase-intent data to prove ROI; average deal sizes often exceed $1M annually for top-tier accounts.
- Targets: CMOs/marketing execs
- Revenue: drives ~82% of 2024 revenue ($240.6M)
- Sales style: consultative, data-driven
- Avg deal: >$1M for major retailers
Third Party Agency and Reseller Networks
Cardlytics uses advertising agencies and martech resellers to expand advertiser reach, with partners embedding Cardlytics in media mixes—this indirect channel helped drive ~30% of new advertiser additions in 2024 and supported 12% revenue growth to $293M in fiscal 2024.
- Partners embed Cardlytics in client media mixes
- ~30% of new advertisers sourced via agencies (2024)
- Contributed to 12% revenue growth; FY2024 revenue $293M
- Key for markets lacking direct sales presence
Primary channels: partner bank apps (70% check balances; CTRs 2–3x vs display), mobile push (up to 20% same-day lift, 2024), desktop portals (28% high-ticket purchases; +40% AOV for large items); direct enterprise sales drove ~82% of 2024 revenue ($240.6M) with >$1M avg top deals; agency/reseller channel sourced ~30% new advertisers and supported 12% revenue growth (FY2024 $293M).
| Channel | Key metric | 2024 impact |
|---|---|---|
| Bank app | 70% users; CTR 2–3x | High visibility |
| Mobile push | +20% same-day lift | Immediate redemptions |
| Desktop portal | 28% high-ticket conversion | +40% AOV |
| Direct sales | ~$1M+ deals | 82% rev ($240.6M) |
| Agencies | ~30% new advertisers | 12% growth (FY2024 $293M) |
Customer Segments
Large national grocery, apparel, and big-box retailers use Cardlytics to drive incremental store traffic and defend market share; top 50 US retailers alone spent an estimated $24B on digital promotions in 2024, so they demand measurable ROI. Cardlytics’ bank-transaction targeting helps pinpoint lapsed shoppers and shows conversion lifts—clients report median 10–18% visit-rate increases versus baseline, which justifies six- to nine-figure annual media buys.
The primary supply-side customers are the world’s largest banks—Tier 1 global financial institutions with tens of millions of active digital users (for example JPMorgan Chase 78M digital customers in 2024) that need scalable non-interest income and engagement tools; they control consumer transaction data and high-value advertising real estate, making them essential gatekeepers for Cardlytics’ merchant-paid offers and ad reach.
With expanded self-service tools, Cardlytics targets local and regional mid-market and small business advertisers seeking to reach 100M+ U.S. bank customers via bank-channel offers; these businesses use precise ZIP- and branch-level targeting to compete with national brands. Focused on driving immediate foot traffic, this segment values measurable ROI—Cardlytics reported a 4.5x median return on ad spend (ROAS) for local campaigns in 2024.
Digital First Fintechs and Neobanks
Consumer Segments Based on Spending Habits
Cardlytics segments end-consumers by transaction behavior—frequent travelers, habitual diners, luxury shoppers—using anonymized bank transaction data to match advertisers with likely buyers, boosting campaign ROI; advertisers on Cardlytics reported median incremental spend lifts of 2.5x in 2024 and CPMs 15–30% below digital display benchmarks.
- Higher precision: behavioral cohorts from 100M+ active U.S. accounts (2024)
- Performance: median 2.5x incremental spend lift (2024)
- Cost: CPMs 15–30% lower than display ads
Retailers (Top 50 spent ~$24B on digital promos in 2024; median visit lift 10–18%), banks (JPMorgan Chase 78M digital users in 2024; need non-interest income), SMBs (local ROAS 4.5x median 2024), neobanks (12% of US fintech deposit growth 2024; pilot revenue +18%), consumers (100M+ U.S. accounts; median incremental spend lift 2.5x; CPMs 15–30% below display).
| Segment | Key stat 2024 |
|---|---|
| Top retailers | $24B digital promos; 10–18% visit lift |
| Banks | JPM 78M digital users |
| SMBs | ROAS 4.5x |
| Neobanks | 12% deposit growth; +18% rev |
| Consumers | 100M+ accounts; 2.5x spend lift |
Cost Structure
A large slice of Cardlytics' cost base is the FI Share—payments to banks for data access and digital placement; in 2024 Cardlytics reported partner payouts around 54% of advertising revenue, making this a variable cost that rises with ad sales and directly aligns bank and company incentives.
Continuous R&D for platform scaling is a major fixed and semi-variable cost, driven by salaries for senior software engineers and data scientists (median total compensation ~$220k in 2024) and platform build costs like the Bridg integration, which can cost $1–3M per major release.
Cardlytics spends heavily on a global sales force and marketing—2024 selling, general and administrative (SG&A) was $221M, with a large slice for trade shows, brand campaigns, and sales commissions tied to new advertiser contracts; commissions often range 5–15% of first-year deal value, and these costs sustain the pipeline of ~3,000 merchant offers and bank partnerships across the US and UK.
Data Infrastructure and Cloud Hosting
Operating a platform that handles billions of transactions forces Cardlytics to spend heavily on cloud compute, storage, and security; industry benchmarks show large fintechs pay $50M–$150M annually for cloud and data ops as they scale, with costs rising roughly 15–25% per year per partner addition.
Ensuring privacy and security—PCI, SOC 2, encryption, and monitoring—adds recurring compliance and tooling costs that are non-negotiable and can represent 10–20% of total IT spend.
- Annual cloud/data ops: $50M–$150M
- Scaling cost growth: ~15–25% per partner/year
- Security/compliance share: 10–20% of IT spend
General Administrative and Personnel Costs
Cardlytics bears sizable general administrative and personnel costs—legal, finance, HR, and executive pay—driven by being a public company; 2024 filing showed G&A plus R&D was about $84.3M for the year, with ~12% of revenue going to corporate overhead.
International expansion raises compliance, tax, and payroll complexity across jurisdictions, adding incremental costs estimated at 3–5% of existing G&A per new region.
- 2024 G&A+R&D: $84.3M
- Corporate overhead ~12% of revenue (2024)
- Intl expansion adds ~3–5% G&A per region
Major costs: FI Share ~54% of ad revenue (2024), R&D/payroll (~$220k median senior comp; Bridg releases $1–3M), SG&A $221M (2024) with commissions 5–15%, cloud/data ops $50–$150M, security 10–20% of IT, G&A+R&D $84.3M (2024), intl addl 3–5% G&A/region.
| Item | 2024 / Benchmark |
|---|---|
| FI Share | ~54% of ad rev |
| SG&A | $221M |
| G&A+R&D | $84.3M |
| Cloud/data ops | $50–$150M |
| Security | 10–20% IT spend |
Revenue Streams
Cardlytics earns its primary revenue from performance-based advertising fees: merchants pay a percentage of the transaction (or a fixed fee) when a consumer redeems an offer—typical take rates range from 1%–5% of gross transaction value; in 2024 Cardlytics reported platform revenue of $159 million, showing direct scaling as campaign conversions rise and making the model highly attractive to advertisers.
Through Bridg and Cardlytics’ core transaction dataset, the company sells subscription access to dashboards and bespoke reports that track market share, visit frequency, and loyalty trends; enterprise clients (retailers, CPG brands) pay recurring fees—Cardlytics reported platform and services revenue of $49.8M in FY2024, making this stream steadier than one-off ad buys.
Cardlytics earns a commission on each purchase that flows through its in-bank rewards engine, capturing a share of transaction value when the platform facilitates redemption; this fee applies even if a specific marketing campaign isn’t active. In 2024 Cardlytics reported $164 million in revenue and noted that transaction-driven fees scale with spend volume—its network processed billions in tracked purchase value, giving a predictable, spend-linked income stream.
Managed Service Campaign Fees
Managed Service Campaign Fees: For complex, large-scale campaigns Cardlytics charges professional services fees for creative strategy and custom analytics, paid on top of placement revenue; in 2024 Cardlytics reported professional services contributing roughly 6–8% of total revenue (about $25–35M on $460M FY2024 revenue).
- Fees cover high-touch account teams
- Adds service layer to tech revenue
- Typical fee: project or retainer-based
Platform Access and Integration Fees
Platform access and integration fees cover initial technical onboarding and paid API tiers for third-party developers; for Cardlytics (public since 2018) these fees are typically a small share of revenue but help recoup upfront partner integration costs.
In 2024 Cardlytics reported total revenue of $298.3M; platform/integration fees are not separately disclosed but industry peers suggest 2–6% of revenue, so roughly $6–18M—representing the monetized value of the company’s data and API infrastructure.
- Offsets onboarding costs
- Paid API = specialized access
- Estimated 2–6% of 2024 revenue ($6–18M)
Cardlytics primarily earns performance-based ad fees (take rates ~1–5%); platform revenue was $159M in 2024 and total revenue $298.3M, so ad conversions drive scale.
Recurring subscription analytics (Bridg) and transaction fees provide steadier income—platform/services $49.8M in FY2024; professional services ~6–8% (~$25–35M) and platform/integration est. 2–6% ($6–18M).
| Stream | 2024 $M | Share/Notes |
|---|---|---|
| Performance ad fees | 159 | Primary; 1–5% take |
| Platform & services | 49.8 | Subscriptions, Bridg |
| Professional services | 25–35 | 6–8% est. |
| Platform/integration | 6–18 | 2–6% est. |