Prompt
What's the best marketing analytics platform for campaign performance reporting across paid social, search, and display?
Latest observation
There isn’t one universal “best” platform, but for campaign performance reporting across paid social, search, and display, the strongest all-around options are usually:
Best overall for marketing analytics
Looker Studio + a data warehouse (BigQuery/Snowflake) + connectors
- Best if you want flexible, cross-channel reporting
- Can unify data from Google Ads, Meta, LinkedIn, DV360, etc.
- Good for custom dashboards and executive reporting
- Requires more setup and data ops support
Best out-of-the-box attribution/reporting
Northbeam or Triple Whale
- Best for multi-channel performance and attribution
- Strong for paid social + search + display
- More common in ecommerce
- Faster to deploy than a warehouse-led stack
Best for enterprise marketing analytics
Adobe Analytics or Contentsquare + BI
- Best for large orgs with complex journeys and governance needs
- Strong analytics depth, but usually heavier and more expensive
- Often paired with BI tools for reporting
Best for cross-channel media reporting
Datorama / Salesforce Marketing Cloud Intelligence
- Built for marketing performance reporting across many platforms
- Good for paid media aggregation and dashboards
- Strong enterprise option, especially if you’re already in Salesforce
Best lightweight option for agencies/SMBs
Supermetrics + Looker Studio / Power BI
- Easier to implement
- Great for pulling data from ad platforms into reports
- Less powerful for deep attribution or advanced modeling
My practical recommendation
- If you want the best balance of power and flexibility: Looker Studio + BigQuery + Supermetrics/Fivetran
- If you want fast attribution-focused reporting: Northbeam
- If you’re enterprise and need robust media reporting: Datorama
- If you’re mainly an ecommerce brand: Triple Whale
How to choose
Pick based on:
- Attribution needs: last-click vs data-driven vs MMM
- Data volume: small/medium vs enterprise-scale
- Ease of use: marketer-friendly vs analyst-heavy
- Budget: connector + BI stacks are cheaper; enterprise suites cost more
- Source coverage: Meta, Google Ads, TikTok, LinkedIn, DV360, etc.
- Level of customization: standard dashboards vs custom models
If you want, I can give you a ranked shortlist by company size (SMB, mid-market, enterprise) or compare Northbeam vs Datorama vs Looker Studio specifically.
Observation history
How did Obsurfable measure this prompt?
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.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
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