Admetrics vs Dreamdata: attribution built for e-commerce
Dreamdata traces a buying committee to a closed-won deal. Admetrics records the order server-side, nets out COGS, shipping and returns down to SKU, and moves the budget to whatever actually earned.
Admetrics vs Dreamdata, feature by feature
The full map across the categories ecommerce and DTC teams decide on: how the data lands, how conversions are collected and credited, whether margin reaches the report, and what happens once the number is in front of you.
DREAMDATA
DTC brands that made the switch
What changed after the switch, in the brands' own numbers: CAC, revenue, and the growth that followed.
Last year's Black Friday and Cyber Monday shattered all records at NATURTREU, with our marketing budget more than doubling (+122%) and ROAS increasing by 23%. Using PRISMA and precise tracking, we accurately assessed our marketing channels' impact, optimizing budgets based on accurate data.
Before Admetrics, the data from Facebook, Snapchat and TikTok was very distorted. Thanks to Admetrics, we could analyze what really works, what the real numbers are, and therefore scale easier and faster. We could triple our ROAS and scale based on real, accurate data.
Admetrics enhanced our campaign insights by capturing 30% more data than our previous tool, especially on Meta and native channels allowing us to optimize our marketing strategies.
Frequently Asked Questions
How much does Dreamdata cost?+
Dreamdata publishes no price for its paid product. There is a permanent free plan covering B2B web analytics, company identification, engagement scoring, the audience builder and an ad spend report, capped at 5 seats, 2 months of history, 3 stage models, 2 notifications and 1 sync. Everything that makes it an attribution platform - the models, revenue and content analytics, custom ROI reporting, full audience activation, SSO and advanced data controls - sits in a single custom-priced Activation & Attribution plan, quoted against monthly tracked users. Admetrics publishes its pricing and starts at $399 a month.
Does Dreamdata track profit, or only ROAS?+
Dreamdata reports ROAS and CAC, not profit. Costs feed a CAC report, but COGS never enters the model, so there is no POAS, no contribution margin and no P&L view anywhere in the platform. Refunds are not modeled either: a deal can be marked lost, but what comes back after a sale is invisible. For a brand carrying 30% product cost and a double-digit return rate, that is the entire margin question left unanswered.
How many attribution models does Dreamdata offer?+
Six: first, last, linear, W-shaped, U-shaped and data-driven. Custom credit rules are available, but only on the Enterprise plan, so the ability to encode how your own customers actually buy is a tier decision rather than a feature. Admetrics ships nine models out of the box plus your own rules for splitting credit.
Does Dreamdata work for ecommerce and Shopify brands?+
Not really - Dreamdata is built on a B2B data model where revenue means a CRM deal value. There is no SKU anywhere in the model, no return analytics, no repeat-purchase cohorts, no ad-level creative reporting and no influencer tracking. Its connector list runs 70+ sources deep into CRM, marketing automation, intent data and review sites, while the ad platforms stop at LinkedIn, Google, Meta and Microsoft. A DTC brand would be modeling a committee journey for a purchase that gets decided in one session on a phone.
Does Dreamdata offer marketing mix modeling?+
No. Dreamdata doesn't model spend against results, and it runs no incrementality testing, so the channels a click can't follow - TV, podcasts, marketplaces, upper-funnel video - are valued at roughly zero. Admetrics runs PRISMA, a machine-learning mix model that sizes each channel's real impact including offline, and the Budget Allocator turns that reading into a spend split you can execute across platforms.
Does Dreamdata have AI tools?+
Dreamdata has AI Signals, which ranks intent signals and writes report summaries, but there's no analyst inside the product you can put a question to. There's no native MCP server either - their own guide routes you through Google's BigQuery MCP, which means buying the warehouse export add-on and setting up gcloud first. Admetrics ships Ava for plain-language profit questions, plus a native MCP and Data API that let Claude or ChatGPT query your attribution and budgets and act on them.
Is Admetrics a good Dreamdata alternative?+
For ecommerce and DTC teams, yes - and for B2B teams, honestly, no. Dreamdata is strong at the job it was built for: resolving a buying committee to one account timeline, including the anonymous sessions before anyone filled in a form. If your revenue closes in Salesforce or HubSpot, that is the right tool and Admetrics is not. If it closes in a cart, the account model solves a problem you do not have while the margin question goes untouched. Admetrics runs POAS down to SKU net of COGS, shipping, fees and returns, recovers 20 to 30% more conversions server-side, and returns that signal to six ad platforms.