Northbeam doesn't publish flat public pricing. Plans get quoted based on your monthly ad spend, and for smaller brands that usually lands somewhere around $2,000 to $3,000 a month. Spend more, and Northbeam pricing climbs into five figures monthly without much resistance. There's no self-serve checkout here, no "add to cart and go" option. You talk to sales first.
That's the part that trips people up. A brand trying to budget for next quarter can't just pull up a pricing page and do napkin math. You have to book a call, share your ad spend numbers, and wait for a quote back. For teams moving fast, that friction alone changes the evaluation timeline.
This piece walks through how Northbeam's tiers actually work, what pushes the price higher or lower, what you get (and don't) at each level, and who the pricing model genuinely makes sense for.
How Northbeam Structures Its Pricing Tiers
Northbeam doesn't charge per seat the way a lot of SaaS tools do. Instead, pricing scales against tracked ad spend thresholds; think under $500k a month, $500k to $2M, and $2M plus. Each band comes with its own quote, and the band you land in determines a lot more than just the invoice.
Higher tiers generally unlock more attribution models beyond last-click and first-click, longer data retention windows (so you can actually look back further than 90 days), and a wider set of ad platform integrations baked into the base package.
Annual contracts are the default way to access these quoted rates. Month-to-month exists in some cases, but it's typically more expensive per month, and at the lower spend tiers it may not be offered at all. If you're used to comparing a published pricing page side by side with a competitor's, this is a different motion entirely: you're negotiating a contract, not picking a plan off a shelf.
What Drives the Cost Up or Down
A handful of levers move the number on your quote:
Monthly ad spend volume. This is the primary driver. Northbeam prices around how much ad budget it's tracking, not how many people log into the dashboard.
Number of connected ad platforms. Meta alone is a different quote than Meta plus Google plus TikTok plus Amazon ads running simultaneously.
Number of users or seats. Smaller on its own, but it adds up at agency or multi-brand accounts.
Historical data requested. Wanting two years of lookback costs more than wanting 90 days.
Brands running paid campaigns across four or five channels at once tend to land in meaningfully higher pricing brackets than a single-channel advertiser spending the same total dollars. The complexity of stitching attribution across platforms is part of what you're paying for.
Onboarding and implementation support is the wildcard. Sometimes it's bundled into the contract, sometimes it's billed as a separate line item, and which one you get often depends on how big the overall deal is rather than anything published upfront.
What's Included (and What Isn't) at Each Price Point
At most tiers, you can expect multi-touch attribution modeling, ad spend and creative-level reporting, and the core platform integrations (Meta, Google, TikTok) as standard. That's the backbone of what Northbeam sells, and it's reasonably consistent across plans.
Where it gets uneven is the stuff around the edges. Lower tiers often come with tighter data retention limits, so if you want to analyze a full year of attribution history, that may require an upgrade. Custom dashboards are sometimes an add-on cost rather than something included out of the box. And Amazon marketplace reporting, if you sell there, tends to be shallow compared to tools built with Amazon sellers specifically in mind.
Support is the other variable worth flagging. Some tiers come with a dedicated customer success manager who knows your account. Others route you through a general support ticket queue. If your team needs fast answers when attribution numbers look off mid-campaign, that difference matters more than the glossy feature list suggests.
Who Northbeam's Pricing Model Actually Fits
The clearest fit is a mid-to-large DTC brand spending heavily across paid social and paid search, that needs granular, channel-level attribution and has the budget to treat a four-to-five-figure monthly line item as a normal cost of doing marketing. For that brand, deep attribution modeling pays for itself if it changes where ad dollars get allocated.
The weaker fit is a smaller brand, or one that's Amazon-heavy, looking for broader analytics coverage rather than ad attribution depth specifically. If what you actually need is Shopify, Amazon, and GA4 reporting pulled into one place, not just granular ad-spend attribution, Northbeam pricing can feel heavy relative to the problem you're solving. Amazon sellers in particular often need marketplace-specific reporting that sits outside what attribution tools are built for, which is worth checking against something like Amazon-focused pricing before assuming one tool covers it all.
There's also the practical reality that budgeting for Northbeam means budgeting for a sales cycle. No published number to anchor against, no quick comparison across three browser tabs. That's a real cost in time, even before the contract number shows up.
If You're Comparing Analytics Tools Beyond Attribution
A lot of these pricing conversations start narrow and end up wide. A team sets out to compare attribution tools and ends up realizing the actual gap is broader: they need Amazon performance, Shopify revenue, and GA4 funnels in one dashboard, not just ad-platform attribution modeling.
That's usually the point worth stepping back and looking at how different tools structure pricing and what's actually bundled in. A breakdown like Northbeam vs. Polar vs. Trivas is useful here, not as a sales pitch, but as a way to see what each tool assumes you need versus what you're actually trying to solve for. Attribution-first tools and full-stack analytics tools solve different problems, and the pricing models reflect that split.
Next Steps for Budgeting Your Analytics Stack
Northbeam pricing starts in the low four figures monthly and scales up fast with ad spend and the number of platforms you're tracking. Quotes sit behind a sales call, not a checkout page, so there's no shortcut to an exact number.
Before you book that call, map your own ad spend and channel mix. Know roughly which tier you'd fall into and what data retention or seat count you'd actually need. Walking in with that clarity saves a round or two of back-and-forth.
If you want a sense of what a more transparent pricing structure looks like, or just want to see what an all-in-one analytics approach covers beyond ad attribution, it's worth poking around and comparing notes before you sign anything.
Content author and contributor at Trivas.ai, sharing insights on e-commerce analytics, business intelligence, and data-driven strategies to help businesses grow.
Continue Reading
explore more insights
Ecommerce Analytics ROI vs Triple Whale: A Real Comparison
3 min read
What Is New Customer ROAS (NC-ROAS) and Why It Matters More Than Blended ROAS
3 min read
9 Best Ecommerce Analytics Platforms in 2026 (Ranked by Real Use Case)
.d53b12e5.png&w=3840&q=75 "Trivas.ai")
