I'm the founder of Ripplux. I'm writing a comparison piece about my own product. That should immediately make you skeptical, and I'd be worried if it didn't.
So here's how I'm going to handle this: I'll tell you what each tool does well, what it doesn't do, who it's built for, and where the honest trade-offs are. I'll try to be as fair to Triple Whale and Northbeam as I'd want them to be about me. Then you can decide.
What each tool actually does
Before comparing features, it helps to understand that these tools answer fundamentally different questions about your advertising.
| Question | Triple Whale | Northbeam | Ripplux |
|---|---|---|---|
| Which ad is performing best? | ✓ Primary focus | ✓ Yes | Estimated |
| Which channel should get credit? | ✓ First-party pixel | ✓ Multi-touch modeling | Not the focus |
| Is my creative fatigued? | ✓ AI creative intelligence | Partial | ✓ Flagged in audit |
| What's my blended ROAS? | ✓ Real-time | ✓ Modeled | ✓ Adjusted for waste |
| Are these conversions incremental? | Beta (Compass) | ✓ Automated lift testing | ✓ Holdout experiments |
| How much of my spend is wasted? | Not addressed | Partial (enterprise) | ✓ Primary focus |
The first four rows are attribution questions: which ad, which channel, how much credit, what's the return. Triple Whale and Northbeam are both excellent at these, in different ways and at different price points.
The last two rows are incrementality questions: is this ad actually driving sales that wouldn't have happened otherwise, and if not, how much am I wasting? These are the questions Ripplux was built to answer.
These aren't better or worse questions. They're different questions. But for a merchant who suspects their ROAS is inflated, and published research says it almost certainly is, the incrementality questions are the ones that matter most.
Triple Whale: the command center
Best for: Shopify brands at $10M+ annual revenue who need a real-time dashboard to manage media buying decisions across platforms.
What they do well:
- First-party tracking pixel that doesn't rely on Meta/Google attribution
- AI-powered creative intelligence: they've pivoted hard into helping merchants understand which creative elements drive performance and when creatives are fatiguing
- Clean, fast dashboard. The UX is genuinely the best in the category
- Broad ecosystem integrations (Klaviyo, Gorgias, TikTok, etc.)
What they don't do:
- Incrementality testing as a core output. Triple Whale has added incrementality to its Compass measurement suite, but as of mid-2026 it's a newer, beta-stage capability aimed at larger accounts, not the product's focus. Their core model is attribution through their first-party pixel, which is a better model than Meta's default, but a model, not a holdout measurement.
- Waste detection. They'll tell you which campaign has the best ROAS, but they won't tell you how much of that ROAS is brand cannibalization, fatigue, or overlap.
Pricing: A free plan exists for small stores; paid plans start around $129/month and scale with revenue into enterprise pricing for larger accounts. Their own documentation recommends the product for stores doing $10M+ annually.
The honest take: If your primary need is a unified dashboard with real-time creative intelligence and you're at $10M+ revenue, Triple Whale is the best product in the market. It replaced Meta Ads Manager as the primary screen for a lot of serious media buyers. It just doesn't answer the question "are these conversions real?"
Northbeam: the enterprise attribution engine
Best for: DTC brands spending $40k+/month on ads with dedicated media buying teams who need sophisticated multi-touch attribution and, as of December 2025, reported automated incrementality testing.
What they do well:
- Multi-touch attribution (MTA) is their core: they model fractional credit across touchpoints so channel credits sum to actual revenue, not inflated platform-reported numbers
- In October 2025, they reportedly launched a "Clicks + Deterministic Views" model in partnership with Meta, TikTok, Snapchat, and Pinterest, connecting ad views and clicks to first-party revenue
- In December 2025, they reportedly launched "Incrementality by Northbeam": automated lift testing. This is a real incrementality product, not just attribution
- They've surfaced insights that other tools miss, like revealing that "low-performing" TikTok campaigns are actually driving assisted conversions captured by Google later
What they don't do:
- Serve the $3k–$50k/month merchant. Northbeam's entry (Starter) plan is around $1,500/month, scaling well beyond that. Their product is designed for teams with dedicated analysts, not founder-operators managing ads between packing orders
- Make waste detection the primary frame. Their incrementality product exists, but it's positioned as an add-on to their MTA suite, not as the core value proposition
Pricing: Around $1,500/month minimum (their Starter plan), with higher tiers from roughly $2,500/month and up. Enterprise pricing scales from there.
The honest take: Northbeam is the most technically sophisticated tool in this comparison. Their incrementality launch puts them closest to what Ripplux does, but at a price point and complexity level designed for brands 10x larger than Ripplux's target customer. If you're spending $50k+/month and have a media buyer on staff, Northbeam is the right choice.
Ripplux: the waste detector
Best for: Shopify merchants spending $3k–$50k/month on Meta + Google who want to know how much of their ad budget is actually driving incremental sales, and who want it fixed, not just reported.
What we do well:
- Waste detection is the primary output. We don't show you a dashboard of every metric. We show you the gap between your reported ROAS and your true ROAS, broken down by source: cannibalization, creative fatigue, channel overlap
- Holdout experiments for SMBs. Until 2025, incrementality testing required enterprise tools ($24k–$60k/year) or Meta's Conversion Lift (reported to require $30k+/month in spend to achieve statistical significance). Ripplux makes holdout experiments accessible to stores spending $3k/month
- Plain English audit. Every finding comes with a confidence level, an explanation in human language, and a specific recommended action. No data science degree required
- Fixes, not just findings. Every finding comes with a proposed fix. You approve it with a tap, Ripplux executes it on the platform, and the receipt shows exactly what changed. Reports don't have receipts
- Price. $149/month for Pro. Or Pro locked at $99/mo for life for founding members, granted by invitation while the cohort is open
What we don't do:
- Multi-touch attribution. We don't model which channel gets fractional credit. That's Triple Whale and Northbeam's domain, and they're better at it than we would be
- Real-time dashboards. We're not a media buying command center. We're an auditing tool: you check it weekly, not hourly
- TikTok, Snapchat, Pinterest tracking. We support Meta and Google today. We'll expand, but we're not pretending to cover platforms we haven't built integrations for yet
The honest take: Ripplux is narrower than Triple Whale and less sophisticated than Northbeam. We do one thing (find the waste and help you prove it) and we do it at a price point that makes sense for the $3k–$50k/month merchant who can't afford $1,500+/month for attribution tooling.
The real question
The tools in this comparison aren't really competing with each other. They're answering different questions for different merchants at different scales.
The question to ask yourself is: which question matters most to you right now?
If it's "which ad should I scale today?": Triple Whale. If it's "how should I allocate across channels for maximum ROI?": Northbeam. If it's "how much of my ad spend is buying customers who would have bought anyway?": Ripplux.
Most merchants eventually need answers to all three. But the third question is the one most merchants have never asked, and it's the one with the most money hiding in the answer.
A note on what's missing from all three
No tool in this comparison, including ours, has solved the full problem. Attribution models are still approximations. Incrementality tests require statistical power that small-scale merchants struggle to achieve. Creative fatigue detection depends on historical data that new stores don't have.
The honest state of the industry: we're all building better approximations of truth. The difference is whether you're approximating "which channel gets credit" or approximating "did this spend actually matter."
I believe the second approximation is more valuable. That's why I built Ripplux. If you disagree, Triple Whale and Northbeam are both excellent tools and I'd rather you use one of them than use nothing.
Where to go from here
See your number: Run the free ad waste calculator, 30 seconds, no signup. Same math as our case study, your numbers.
Read the evidence: The manifesto breaks down why platform-reported ROAS is structurally inflated, with published research behind every claim.
Get the real audit: See the founding offer. Founding stores lock Pro at $99/mo for life, same tools as everyone else.
Rami Omran, Founder, Ripplux