Cardlytics Business Model Canvas

Advertisers and media agencies supply demand for performance campaigns targeting Cardlytics' 150 million verified spenders, leveraging anonymized bank transaction signals. They co-develop audience strategies, creative, and offers optimized to sales outcomes and integrate campaigns into agency buying workflows and measurement stacks. Programs are structured around repeatable incrementality testing and ROAS metrics to scale proven tactics.

Major banks, card networks, advertisers, fintech integrators and privacy vendors jointly enable Cardlytics' closed-loop offers, reaching 150M+ online banking customers, 1,100+ FI partners and ~200M active cardholders (2024), powering targeted, measurable spend-driven campaigns and fast API/SDK integrations.

Embed Cardlytics experiences within bank apps and online portals across 1,500+ financial institutions, reaching roughly 150 million customers in 2024. Maintain SDKs, APIs and SSO to bank SLAs (typically 99.9% uptime) while managing weekly rollouts, QA and formal change controls per institution. Monitor uptime, latency and incidents with MTTR targets under 60 minutes and real-time alerts to meet service obligations.

Ingest and tokenize anonymized transaction data from 1,500+ FI partners (150M customers in 2024), maintain taxonomy/deduplication and low-latency pipelines (99.9% SLA, MTTR <60m). Run ML for propensity/incremental lift (5–15% typical), assign privacy-safe offers and retrain daily. Embed offers in bank apps, manage advertiser campaigns, testing and stewardship to deliver >3x ROI.

Proprietary ML models predict consumer response and incremental value across Cardlytics' network of over 1,600 bank partners and ~200 million cardholders, driving measurable ROI. Optimization engines allocate advertiser budgets across cohorts in real time to maximize incremental spend and CPA reductions. Closed-loop attribution methodologies, validated at scale with billions of anonymized transactions, enable precise lift measurement. Continuous learning updates models each quarter to improve accuracy.

Cardlytics' key resources include an anonymized purchase graph of billions of card-linked transactions (2024), bank integrations with 1,100+ banks and credit unions reaching ~110M active users, and a network covering ~200M cardholders. Proprietary ML and optimization engines (quarterly updates) plus an ad-serving API and bank-grade privacy controls enable precise targeting, closed-loop attribution, and scalable offer delivery.

Cardlytics monetizes banks digital channels while preserving trust by delivering targeted, permissioned offers; in 2024 its network reached 92 million connected cardholders, helping partners see up to 15% higher monthly logins and measurable NPS gains from reward engagement. Reward-driven campaigns lift card usage and spend incidence, and banks receive shared advertiser spend via revenue splits (bank-side capture often near 40%), differentiating the banking experience at low incremental operating cost.

Closed-loop, transaction-level attribution drives measurable ROAS (Cardlytics reported $329.6M revenue in 2023), delivering targeted in-app cash-back offers across bank channels to 100M+ account holders (2024) and 92M connected cardholders, boosting engagement and card spend with up to 15% higher monthly logins and bank revenue shares near 40%.

Hands-on planning, setup, and ongoing optimization with Cardlytics teams guide targeting, creative testing, and offer sequencing to maximize card-linked conversions. Creative and offer strategy emphasizes performance-driven variants and audience segmentation, leveraging reach to over 30 million active banked consumers. Campaigns receive regular weekly pacing adjustments and dashboarded insights. Post-campaign readouts include measured lift, ROI analysis, and test-and-learn roadmaps.

Strategic account teams align with FIs across ~190M accounts, supporting ~155M active cardholders (2024). Ops deliver 24/7 NOC with 99.9%+ SLAs and sub-100ms API targets. Managed services + self-serve APIs drive campaign lift (30M+ active consumers) with weekly optimizations and ROI readouts.

Integrate Cardlytics into agency media planning and buying flows to activate offers across a network reaching 150 million active cardholders (2024), reducing friction for planners and traders. Provide targeted education and enablement for planners/traders to translate transaction signals into measurable ROI. Publish joint case studies to scale adoption and evidence lift, and grant preferred partner statuses to streamline onboarding and campaign execution.

Embedded banking UI and partner messaging (email, in-app, statements) drive in-moment redemptions via linked cards; Cardlytics served 1,100+ FI partners reaching ~98% of U.S. banked population and ~150M active cardholders in 2024. Direct enterprise sales and agency integrations enable outcome-based pricing and multi-quarter campaigns. APIs and data exports saw ~80% enterprise adoption, powering MMM/BI integrations.

Agencies and media buyers use Cardlytics to plan and optimize multi-channel portfolios, leveraging the platform's bank-to-brand purchase insights across 150 million banking consumers. They demand high-quality, outcome-based inventory tied to measurable sales lifts and ROI. Transparency and standardized reporting (attribution and sales reconciliation) are required to win agency budgets. Agencies drive scaled adoption across client rosters seeking measurable CPA improvements.

Banks adopt Cardlytics for compliant, in‑bank offers; 80%+ of US adults used mobile banking in 2024 and Cardlytics reached 70M customers that year.

Brands and agencies use closed‑loop attribution and performance‑based spend to drive measurable sales lifts and large ongoing budgets.

SMBs (~33M US in 2024) prefer aggregator-led, pay‑for‑performance, templated, low‑touch campaigns.

Payouts to banks and consumers are tied to redemptions, making Cardlytics costs largely variable and scaling with advertiser spend; contracted partner splits (banks, publishers) average around 50% of gross campaign value, which in 2024 left reported gross margins compressed into the low double digits and materially reduced net margins.

Cloud/data infra, R&D, security and partner payouts dominate costs; 2024 bank splits ~50% of gross campaign value, compressing gross margins to low double digits; payouts scale with advertiser spend and redemptions; sales, campaign ops and compliance (PCI/GDPR) add fixed and semi-variable OPEX.

Platform and managed service fees cover campaign setup, ongoing optimization and stewardship; in 2024 Cardlytics continues to offer tiered billing for these services. Optional managed-service retainers provide premium strategy, reporting and account management for larger advertisers. Self-serve access remains available with platform charges for campaign execution. The fee structure incentivizes multi-year partnerships and recurring revenue.

Revenue is primarily CPA cost-per-sale where advertisers pay on redeemed offers via Cardlytics’ bank-channel platform (about 165 million linked accounts by 2024), generating $230 million revenue in FY2024. Economics split roughly 50/50 with bank partners on realized spend, while platform, managed-service fees and premium integrations raise ARPU. Privacy-safe analytics, lift studies and subscription measurement provide recurring and project-based revenue.