AdTech

Real-Time Streaming for AdTech

Target audiences, cap frequency, and attribute conversions in real-time. RisingWave processes bid streams, impression events, and user signals with SQL — enabling real-time ad decisioning and campaign optimization.

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RTB

Bid Processing

Process millions of bid requests per second with sub-100ms latency for real-time decisioning

Live

Frequency Caps

Maintain per-user, per-campaign impression counters with streaming aggregations

SQL

No Java Required

Write streaming pipelines in PostgreSQL-compatible SQL — no Flink or Spark needed

Real-Time

Attribution

Join impression, click, and conversion streams to compute multi-touch attribution live

The Challenge

Why does AdTech require real-time stream processing?

Ad decisions happen in milliseconds. Bid requests arrive, audiences must be scored, frequency caps checked, and bids placed — all before the page finishes loading. Batch-processed audience segments are hours old, frequency counts are stale, and attribution reports arrive too late to optimize live campaigns. AdTech demands real-time data at every stage of the funnel.

→Audience segments built on yesterday's behavior miss current purchase intent
→Frequency caps based on batch counts over-serve or under-serve ads
→Attribution models lag hours behind actual conversions
→Spend pacing relies on stale budget consumption data
→Campaign optimization waits for next-day reports instead of reacting in real-time

The Solution

How does RisingWave enable real-time ad decisioning?

RisingWave ingests bid requests, impression events, clicks, and conversions through Kafka, then continuously computes audience scores, frequency counters, attribution models, and campaign metrics using SQL materialized views. Ad servers and DSPs query fresh results with sub-100ms latency — no Java stream processing code or complex infrastructure required.

Streaming Audience Scoring

Process behavioral signals in real-time. Update segment memberships and affinity scores as users browse.

Real-Time Frequency Counters

Maintain per-user, per-campaign impression counts with streaming aggregations. Enforce caps on every bid.

Live Attribution

Join impression, click, and conversion streams. Compute multi-touch attribution models as events arrive.

Campaign Spend Pacing

Track budget consumption in real-time. Alert on over-pacing and automatically adjust bid strategies.

Use Cases

What AdTech use cases does RisingWave power?

RisingWave powers the most latency-sensitive AdTech workloads where milliseconds directly impact revenue. From scoring audiences for real-time bidding to computing conversion attribution as events flow in, ad platforms use RisingWave to make every impression count with fresh data instead of stale batch segments.

✓

Real-Time Bidding

Score audiences, check frequency caps, and compute bid prices in real-time. Make informed bid decisions on every impression opportunity.

✓

Frequency Capping

Maintain live impression counters per user per campaign. Enforce frequency limits accurately without relying on stale batch counts.

✓

Attribution

Join impression, click, and conversion event streams in real-time. Compute last-click, linear, and time-decay attribution models with SQL.

✓

Audience Segmentation

Process behavioral signals continuously. Update audience segment memberships in real-time based on current browsing, search, and purchase activity.

Frequently Asked Questions

Can RisingWave handle real-time bidding data volumes?

How does RisingWave implement frequency capping?

Does RisingWave support real-time attribution?

Can RisingWave segment audiences in real-time?

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