Prompt
What's the best ad log export for campaign analytics across high-volume DSP and SSP data feeds?
Latest observation
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:
timestampevent_type(impression, click, bid, win, conversion)campaign_id,line_item_id,ad_group_iddsp_id/ssp_idplacement_id,publisher_id,site/appcreative_iddevice,geo,browser,OScost,revenue,bid_price,win_pricerequest_id,auction_id,impression_id,click_idviewability,fraud/safety flagspartner/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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Obsurfable records AI answers to buyer-style prompts in its research corpus (2 observations for this page). Metrics are distributions over observations, not a single static ranking.
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