Prompt

What's the best ad log export for campaign analytics across high-volume DSP and SSP data feeds?

Advertising · DSP & SSP / Dsp ssp2 observationsLast seen Jul 26, 2026

Latest observation

Jul 26, 2026 · OpenAI APIWeb search: off

For campaign analytics across high-volume DSP and SSP feeds, the best ad log export is usually a normalized, event-level log format built for warehouse ingestion, not a proprietary UI export.

Best overall choice

Parquet or Avro event logs delivered to object storage (S3/GCS/Azure Blob), with a stable schema and partitioning by date/hour/source.

Why this is best

  • Handles high volume well: much smaller and faster than CSV
  • Warehouse-friendly: easy to load into Spark, Snowflake, BigQuery, Databricks, Redshift
  • Schema evolution support: important because DSP/SSP fields change often
  • Efficient analytics: columnar formats like Parquet are ideal for filtering impressions, clicks, conversions, bids, wins, etc.
  • Batch + near-real-time compatible: works for daily backfills and streaming pipelines

What the export should include

At minimum, make sure the log export has:

  • timestamp
  • event_type (impression, click, bid, win, conversion)
  • campaign_id, line_item_id, ad_group_id
  • dsp_id / ssp_id
  • placement_id, publisher_id, site/app
  • creative_id
  • device, geo, browser, OS
  • cost, revenue, bid_price, win_price
  • request_id, auction_id, impression_id, click_id
  • viewability, fraud/safety flags
  • partner/source metadata

Recommended export pattern

  • Format: Parquet
  • Compression: Snappy or ZSTD
  • Partitioning: dt=YYYY-MM-DD/hour=HH/source=...
  • Delivery: object storage + manifest file
  • Schema: versioned, with field-level documentation
  • IDs: consistent join keys across DSP and SSP feeds
  • Deduping support: event IDs and watermark timestamps

If you need maximum interoperability

Use:

  • Parquet for analytics
  • CSV as a fallback for partner portability
  • JSON only for debugging or low-volume API delivery

Practical rule of thumb

  • < 1M rows/day: CSV may be acceptable
  • High-volume programmatic logs: Parquet is usually the best choice
  • Streaming / real-time pipelines: Avro or Protobuf on the wire, Parquet in the warehouse

If you want, I can also give you a recommended schema for DSP/SSP ad logs or compare Parquet vs Avro vs CSV for your specific stack.

Observation history

See 1 earlier observation

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