Northbeam

3 attribution reports that drive growth.

But you won’t find them in Northbeam.

Northbeam is the darling of post-iOS14 attribution.
And for good reason: it rebuilt attribution using server-side tracking.

But if you’re relying on its UI alone?

 

You’re missing the metrics that actually move budgets, boost retention, and reshape strategy.

 

Let’s break it down.

These are the top 3 insights you can build with Northbeam data if you extract it from the backend:

1️⃣ Which touchpoints appear early or repeatedly in journeys that convert multiple times or lead to high LTV?

Northbeam’s UI focuses on last-click or revenue-per-ad, not sequence attribution.

2️⃣ How long do customers typically take to convert by channel?

Its UI hides latency, delaying retargeting and skewing budgeting models.

3️⃣ Which TOFU campaigns result in high LTV later, even if not last click?
The UI overvalues closers. Undervalues initiators. You miss the true MVPs.
PS: Anybody else hearing that acronym for top-of-funnel for the first time? LMAO.
Northbeam has this data: touchpoint position, timestamps, predicted LTV.
You just need to extract it.

But if you want even deeper business answers?
You’ll need to go beyond Northbeam alone.

 

Here are 3 bonus reports that combine Northbeam data with other platforms to unlock real business impact:


1️⃣ Customer Profitability by Channel

Combine Northbeam LTV with Shopify (COGS) and Klaviyo engagement to calculate true contribution margin by channel.

2️⃣ ROAS Adjusted for Refunds
Northbeam shows attributed revenue.
But refunds?
That’s a Shopify problem.
Blend them to get actual return.

3️⃣ Net Subscription LTV
Northbeam can’t track sub duration or churn.

Join with Recharge or Skio to measure real subscriber value.

 

Northbeam tracks a lot.

 

But the reports that change how you spend, scale, and strategize?

You’ll only get those when you own the data.

What’s one attribution report you wish Northbeam offered?

@LazyAnalyst – less work, more insights!
We extract the truth from your attribution stack.