Blufire vs Northbeam: Attributed Revenue or Contribution Margin?
Northbeam is a best-in-class attribution engine for DTC performance marketers. Blufire is CFO-grade profit analytics that reconciles every channel to true contribution margin. They answer two different questions, and the better growth decision needs both.
Both tools say they make marketing "more profitable." They mean different things by it. Northbeam (northbeam.io) calls itself "the marketing intelligence platform for profitable growth," and its spine is attribution: multi-touch attribution (MTA), incrementality, media mix modeling (MMM Plus), and the Apex write-back layer that pushes first-party conversion data back into ad-platform algorithms. Its atomic output is deduplicated, attributed revenue distributed across verified touchpoints, then expressed as ROAS, CVR, and CAC. That is genuinely mature work: Northbeam reports $49 billion in ad-attributed revenue, $8 billion in ad spend tracked, and 0.6 trillion impressions measured across 800+ companies (northbeam.io), and it shipped what it markets as the world's first deterministic view-through attribution model. Blufire's atomic unit is different. Every Blufire view reconciles to true contribution margin (CM1 = revenue minus COGS, shipping/fulfilment, payment fees, returns), not attributed revenue and not deduplicated revenue. Blufire computes the number, then hands the operator the highest-value next move with the dollar impact attached. It spans ecommerce, service businesses, weather-driven demand, and customer segmentation, not DTC ecommerce alone. The distinction matters because attributed revenue and contribution margin can rank the same channels in opposite order. A 4.0 ROAS campaign can be exactly break-even before a cent of operating cost. This piece walks the formulas, worked examples, and the honest case for when each tool is the right buy, and where they are complementary rather than competing.
Who each is for
Blufire
Blufire is an Australian, CFO-grade marketing and profit analytics platform for ecommerce and service businesses in the roughly $5M to $1B turnover range. Its premise is "analytics built on profit, not revenue": every view reconciles to true contribution margin (CM1 = revenue minus COGS, shipping, returns, fees), reports the full CM1/CM2/CM3 ladder with MER on margin and finance-grade CAC and LTV:CAC, and hands the operator the highest-value next move with the dollar impact attached. It treats attribution as one triangulated input (MTA + MMM + incrementality) and labels reported vs reconciled rather than presenting platform last-touch as truth. Scope spans ecommerce, service, weather-driven demand, and segmentation.
Northbeam
Northbeam (northbeam.io) is "the marketing intelligence platform for profitable growth," an attribution-first suite built for DTC performance marketers. Its spine is multi-touch attribution (7 models, 3 proprietary, including the Clicks + Deterministic Views model it markets as the world's first deterministic view-through), backed by MMM Plus, a dedicated incrementality product, and the Apex write-back layer that pushes first-party conversion data into ad-platform algorithms. It reports $49B ad-attributed revenue, $8B ad spend, and 0.6T impressions across 800+ companies, and prices on data volume / pageviews and refresh frequency. Its outputs are deduplicated, attributed revenue expressed as ROAS, CVR, and CAC; profit ranking requires a separate margin layer.
Side by side
| Dimension | Blufire | Northbeam |
|---|---|---|
| Atomic unit of measurement | True contribution margin: CM1 = revenue - COGS - shipping/fulfilment - fees - returns. Reports down the funnel to CM1/CM2/CM3. | Attributed revenue distributed across verified touchpoints, expressed as ROAS/CVR/CAC. Reports up the funnel to attributed revenue. |
| Multi-touch attribution (MTA) | Treats attribution as one input under triangulation; consumes attribution credit, does not generate proprietary MTA models. | Best-in-class. 7 models (3 simple, 4 multi-touch), first-party data, ML, infinite lookback. This is the product spine. |
| Deterministic view-through | Not a Blufire feature; relies on attribution inputs where available. | Clicks + Deterministic Views, marketed as the world's first deterministic view-through model (platform-verified, deterministically linked). |
| MMM / incrementality | Frames MTA + MMM + incrementality as triangulation; never treats one model as ground truth. | MMM Plus (weekly retraining, captures retail/offline, seasonality, promo) plus a dedicated incrementality product. Mature. |
| Ad-platform write-back | Not an activation layer; finance-aligned measurement, not bid feeding. | Apex feeds first-party conversion data back to ad-platform algorithms, described as deeper than CAPI/third-party enrichment. |
| Contribution margin ladder (CM1/CM2/CM3) | Full ladder: CM1, CM2 (after variable marketing), CM3 (after allocated variable opex). The core reporting object. | Not the spine. Credit is allocated as attributed revenue; profit ranking requires a separate COGS/margin join. |
| MER, blended/new-customer/marginal CAC | MER on margin (Total CM1 / spend); blended, new-customer, and marginal CAC; LTV:CAC on contribution margin; CAC payback. | CAC reported on attributed revenue/conversions; LTV and payback are not the finance-grade margin spine. |
| Reported vs reconciled framing | Golden rule: never presents platform-reported or last-touch channel/CAC as truth; labels reported vs reconciled. | Headline outputs are attribution-model credit; default in-platform baseline is Last Non-Direct Touch, the platform/GA default it corrects. |
| Business-type scope | Ecommerce + service businesses + weather-driven demand + segmentation. | DTC performance marketers / ecommerce attribution. Case studies are DTC brands (Gruns, Dr. Squatch, Hexclad, Omnilux, Timex, Kizik). |
| Buyer alignment | CFO-grade, finance-aligned: margin, payback, LTV:CAC. | Media-buyer-aligned: ROAS, CVR, CAC, ad-platform activation. |
| Pricing model | Positioned by analytics scope, not pageview/data-volume metering. | Usage-based on data volume / pageviews and refresh frequency. Starter from $1,500/mo (site) or ~$1,000/mo (G2); Pro/Enterprise custom for >$250k / >$500k per month media spend. |
| Cited outcomes | Dollar-quantified margin moves attached to each finding; operator decides. | Up to +37% ROAS, +14% CVR, -20% CAC (Enterprise customers, year over year; northbeam.io/pricing). Revenue-efficiency outcomes, not contribution-margin outcomes. |
Honest read
Where Blufire is stronger
- Every view reconciles to true contribution margin (CM1 = revenue - COGS - shipping - fees - returns), so a 4.0 ROAS that is break-even or loss-making is exposed rather than celebrated.
- Full margin ladder: CM1, CM2 (after variable marketing/ad cost), CM3 (after allocated variable opex), plus MER on margin (Total CM1 / spend) instead of blended ROAS only.
- CFO-grade unit economics: blended CAC, new-customer CAC, marginal CAC (the cost of the next customer, not the average), LTV:CAC built on contribution margin, and CAC payback in months.
- Computes the number then hands the operator the highest-value next move with the dollar impact attached (raise price, cut spend, shift to higher-margin SKUs), rather than leaving margin interpretation to the user.
- Golden-rule discipline: never presents platform-reported or last-touch channel/CAC as truth; labels reported vs reconciled, because platform-reported figures double-count.
- Treats MTA as one input under triangulation (MTA + MMM + incrementality), so margin reconciliation is orthogonal to attribution-model choice and survives ATT signal loss.
- Scope beyond DTC: ecommerce, service businesses, weather-driven demand, and customer segmentation.
Where Northbeam is stronger
- Mature, best-in-class multi-touch attribution: 7 models (First Touch, Last Touch, Last Non-Direct Touch; Linear, Clicks-Only, Clicks + Modeled Views, Clicks + Deterministic Views), with 3 proprietary multi-touch models.
- Clicks + Deterministic Views, marketed as the world's first deterministic view-through attribution model: credits a view only when the impression is platform-verified and deterministically linked to a conversion.
- MMM Plus with weekly retraining that captures retail/offline revenue, seasonality, and promo impact, plus a dedicated incrementality product.
- Northbeam Apex writes first-party conversion data back into ad-platform algorithms (described as deeper than CAPI / third-party enrichment) to improve bidding, ROAS, and CAC.
- Deep, ad-platform-centric integrations: Meta, Google, Microsoft, Snap, TikTok, Pinterest, Amazon Ads, X, Klaviyo, The Trade Desk, Criteo, plus CTV and affiliate partners.
- Proven scale and first-party tracking: $49B ad-attributed revenue, $8B ad spend, 0.6T impressions across 800+ companies (northbeam.io).
- Strong DTC track record and cited efficiency outcomes (up to +37% ROAS, +14% CVR, -20% CAC for Enterprise customers, year over year; northbeam.io/pricing).
Which should you choose
Choose Blufire if
- You are a CFO, founder, or finance-aligned operator who needs decisions ranked by dollars of contribution margin, not by attributed revenue or ROAS.
- Your margins are thin or vary widely by SKU, so a 'good' 4.0 ROAS can be a contribution-margin loss and you need that surfaced.
- You want the full margin ladder (CM1/CM2/CM3), MER on margin, marginal CAC, LTV:CAC on CM, and CAC payback in one finance-grade view.
- You run a service business, have weather-driven demand, or need customer segmentation, none of which fit a DTC-only attribution tool.
- You want every channel/CAC number labelled reported vs reconciled, never platform last-touch presented as truth.
- You want the highest-value next move handed to you with the dollar impact attached, not raw attribution credit to interpret yourself.
Choose Northbeam if
- You are a DTC performance marketer whose primary job is allocating ad budget across Meta, Google, TikTok, and similar platforms.
- Cross-channel attribution accuracy is your top problem and you want best-in-class MTA, deterministic view-through, and infinite-lookback first-party tracking.
- You want a write-back/activation layer (Apex) that feeds first-party conversion data back to ad platforms to improve bidding.
- You want MMM Plus for budget scenario planning and forecasting, plus a dedicated incrementality product, all in one attribution suite.
- Your reporting and team are organised around ROAS, CVR, and CAC, and you need consistency with ad-platform and GA baselines.
- You are a pure ecommerce brand and do not need service-business, weather, or finance-grade margin reporting.