Software · head to head
Northbeam vs Dreamdata
The short version
- Only Dreamdata has a free tier, so it costs nothing to try first.
- Each has a real cost: Northbeam limited creative-level reporting focused on campaign and ad set rather than individual ad performance; Dreamdata company identification only reaches approximately 80% accuracy even with proprietary IP-to-company resolution
- They diverge on capability: Northbeam covers Cross-platform attribution, Dreamdata covers Multi-touch attribution.
Where they differ
Only the attributes on which Northbeam and Dreamdata actually diverge.
Identical on both: pricing model (Unknown), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Northbeam
- Cross-platform attribution
- Media mix modeling
- Creative analytics
- Real-time dashboards
- Incrementality testing
- Customer journey
- Cohort analysis
- LTV predictions
Only in Dreamdata
- Multi-touch attribution
- Account-based analytics
- Pipeline analytics
- Customer journey mapping
- Revenue modeling
- Content attribution
- Channel performance
- Data unification
Both cover
- Google Ads
- SOC2
- Data encryption
- Cloud deployment
- Web support
- Api support
What people use each for
The jobs each tool is most often brought in to do.
Northbeam
- Marketing attributionnot Dreamdata
- Media optimizationnot Dreamdata
- Creative testingnot Dreamdata
- Budget allocationnot Dreamdata
Dreamdata
- B2B attributionnot Northbeam
- Revenue analyticsnot Northbeam
- Pipeline forecastingnot Northbeam
- Marketing ROInot Northbeam
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Northbeam
- Limited creative-level reporting focused on campaign and ad set rather than individual ad performance
- Lack of transparency in attribution modeling methodology and how credit is assigned
- Pageview-based pricing that can scale faster than perceived value for high-traffic, lower-conversion brands
- Slower reporting cadence limits real-time feedback for teams requiring immediate performance data
Dreamdata
- Company identification only reaches approximately 80% accuracy even with proprietary IP-to-company resolution
- Advanced features like custom attribution models require expensive custom pricing tier
- Steep implementation lift for complex multi-touch attribution setup
- Free tier limited to 2 months of historical data
Pricing, plan by plan
Northbeam
$1500/month- Starter$1500/month
- Multi-touch attribution
- Media mix modeling
- Up to 1M monthly pageviews
- Professional$2500/month
- All Starter features
- Creative analytics
- Export API access
Dreamdata
FreeNo published plan breakdown. See the Dreamdata review.
Which should you pick?
Choose Northbeam if
- You need cross-platform attribution.
- You work on Web, API.
- You also want media mix modeling.
Choose Dreamdata if
- You need multi-touch attribution.
- You want to start without paying.
- You also want account-based analytics.
Questions people ask
- Is Northbeam or Dreamdata better?
- Neither clearly leads. Northbeam starts at $1500/month and Dreamdata at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Northbeam or Dreamdata?
- Dreamdata has a free tier; the other does not. Paid plans start at $1500/month for Northbeam and Free for Dreamdata.
- Does Northbeam or Dreamdata run on more platforms?
- Northbeam runs on Web, API. Dreamdata runs on Web.
- Can I use Dreamdata for free?
- Yes. Dreamdata has a free tier, so you can try it without paying. Northbeam starts at $1500/month.
- What is Northbeam best used for?
- Northbeam is most often used for marketing attribution, media optimization, creative testing, budget allocation. Of those, marketing attribution and media optimization are not what Dreamdata is typically brought in for.
- What can Northbeam do that Dreamdata cannot?
- Northbeam covers Cross-platform attribution, Media mix modeling, Creative analytics, Real-time dashboards. Dreamdata covers Multi-touch attribution, Account-based analytics, Pipeline analytics, Customer journey mapping. Both handle Google Ads, SOC2, Data encryption, Cloud deployment.
Answered from the vendors’ own pages
Northbeam: How is Northbeam priced?
Northbeam offers three tiers: Starter ($1,500/month), Professional ($2,500/month), and Enterprise (custom quote). Pricing is based on monthly pageviews and refreshed data frequency. There are no setup fees, free plan, or free trial.
SourceDreamdata: Is there a free tier for Dreamdata?
Yes. Dreamdata offers a free tier with 5 seats, 2 months of history, company identification, and web analytics included.
SourceNorthbeam: What platforms does Northbeam integrate with?
Northbeam integrates with Shopify, Meta Ads, Google Ads, TikTok, Pinterest, Snapchat, YouTube, Klaviyo, Recharge, and others. It pushes attribution data to Meta CAPI, Google Conversion API, GA4, and TikTok Events API.
SourceDreamdata: What CRM integrations does Dreamdata support?
Dreamdata integrates natively with Salesforce and HubSpot, pulling opportunity and account data to build attribution models.
SourceNorthbeam: What does Northbeam measure?
Northbeam uses multi-touch attribution (MTA), media mix modeling (MMM), and Northbeam Apex to measure how paid media spend translates to revenue. Apex sends attribution data directly back to ad platforms for algorithm optimization.
SourceDreamdata: Can I build custom attribution models in Dreamdata?
Yes. Custom attribution models are available on the Attribution Advanced plan, which requires contact for custom pricing.
SourceNorthbeam: Who should use Northbeam?
Northbeam is ideal for intermediate to advanced ecommerce operators at Shopify-based DTC brands generating $1M+ annual revenue and spending at least $1.5M yearly on paid media across multiple channels.
SourceNorthbeam: What are Northbeam's main limitations?
Key limitations include a steep learning curve and complex interface, shallow creative-level reporting, lack of model transparency, pricing that can scale faster than value for high-traffic brands, and slower reporting cadence compared to real-time dashboards.
SourceRelated pages
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