Solution_
AdTech & MarTech
Enable instant audience targeting, dynamic content optimization, and immediate campaign performance analysis. Deliver highly personalized, timely, and relevant experiences across multiple channels, significantly improving engagement rates, conversion rates, and return on ad spend (ROAS).
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Business requirements
The ad & marketing tech industry requires stream processing capabilities that can handle enormous volumes of real-time data from various sources such as websites, mobile apps, social media platforms, and ad exchanges. The system must provide real-time audience segmentation, bid management for programmatic advertising, content personalization, and seamless integration with demand-side platforms (DSPs), data management platforms (DMPs), and customer data platforms (CDPs).
Technical challenges
Implementing real-time data processing in ad & marketing tech faces several technical hurdles. These include processing ultra-high-velocity data streams from millions of user interactions and ad impressions, ensuring sub-millisecond latency for real-time bidding (RTB) in programmatic advertising, maintaining data accuracy and consistency across distributed systems, and scaling to handle traffic surges during major events or campaigns. The solution must also comply with stringent data privacy regulations (like GDPR and CCPA), handle complex data integrations from multiple sources, and provide robust security measures to protect sensitive user data.
Why RisingWave?
Efficient data handlingRisingWave ingests and processes large volumes of high-velocity data from various sources such as messaging platforms and databases in real-time.
Broad connectivityIt offers robust connectors for popular data systems, enabling easy data input and output.
Wide compatibilityAs a Postgres-compatible database, RisingWave works with many analytics tools through standard Postgres drivers.
Low latencyRisingWave delivers results in milliseconds, using real-time materialized views that update continuously.
Complex transformationsIt efficiently performs operations like filtering, joins, and aggregates across multiple data sources.
Easy metric creationNew metrics can be set up with just one or two SQL queries.
Data consistencyRisingWave ensures all queries access the same version of data, guaranteeing correct and consistent results.
Simple scalingYou can add new nodes as needed without system downtime.
Use cases
Real-time bidding (RTB)Enabling instant auction and bidding for ad impressions in programmatic advertising.
Dynamic creative optimization (DCO)Personalizing ad content in real-time based on user data and context.
Cross-channel attributionAnalyzing the impact of marketing touchpoints across various channels in real-time.
Audience segmentationDynamically categorizing users into targetable segments based on real-time behavior and characteristics.
Fraud detectionMonitoring betting activities to identify suspicious patterns and prevent fraudulent bets.
Campaign optimizationContinuously adjusting campaign parameters based on real-time performance metrics.
Customer journey mappingTracking and analyzing user interactions across touchpoints in real-time to optimize the customer experience.
Personalized content deliveryServing tailored content or offers based on real-time user behavior and preferences.
Lookalike modelingInstantly identifying and targeting users similar to high-value customers based on real-time data.
A/B testingConducting and analyzing live experiments on ad creatives, landing pages, and marketing messages to optimize performance.
Predictive analyticsUsing real-time data to forecast user behavior, ad performance, and market trends.
Multi-touch attributionAssigning credit to marketing touchpoints in real-time for accurate performance measurement.
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