Causality Engine vs Lifetimely: Customer Value or Channel Cause
By Joris van Huët
Enterprise Interim CMO & Marketing Leader · 15+ years · 50+ orgs
Published
2026-10-27
The short answer: your most valuable customers and the customers your ads caused are not always the same people. If the question is which channel caused your sales, Causality Engine is the pick. One read of your GA4 export costs €99 and takes 1 to 2 minutes (pricing, checked on 27 October 2026), and app.causalityengine.ai/start gives the first finding free. If the question is what a customer is worth once product costs, fees and refunds are taken out, Lifetimely answers it. It is priced by monthly Shopify orders, from free under 50 orders to $999 a month above 25,000 (Lifetimely pricing). They answer different questions. A store that moves budget weekly is better served by both than by either.
Disclosure: I founded Causality Engine and own it, and this page recommends it. Every claim about it links to Causality Engine's own pages.
A channel can bring in customers who are worth a great deal and still not deserve its budget, if those customers were coming anyway. That one sentence is the whole difference between these two tools. Lifetimely, made by AMP (its old address, lifetimely.io, now opens useamp.com), measures what customers are worth. Causality Engine measures whether a channel made them customers.
Before you open either trial:
- Price your order volume. For example, a store with 2,400 orders a month sits in Lifetimely's M plan, up to 3,000 orders at $149 a month. That is 12 x $149 = $1,788 a year (Lifetimely pricing). A Causality Engine read each quarter is €396 a year on the checkup page.
- Start from the data you keep. Lifetimely begins with your Shopify orders and the cost, marketing and customer sources you connect (Lifetimely home). Causality Engine begins with one GA4 file, the Attribution paths export (how it works).
- Decide what "worth it" means. Lifetimely gives contribution margin and CAC. Causality Engine gives each channel's caused share. A channel earns its budget when the revenue it caused, at your margin, covers its spend.
Two questions, two tools
Read from each vendor's pages on 27 October 2026.
| Lifetimely | Causality Engine | |
|---|---|---|
| The question | What customers are worth after costs; which cohorts and products drive profit | What each channel caused, next to its last-click credit |
| Data in | Shopify, plus the cost, marketing and customer sources you connect | The GA4 Attribution paths export |
| How channels get credit | First- and last-touch UTM attribution on Shopify orders, ad-platform figures, a post-purchase survey | Causal inference on converting paths, with Direct split back to the channels behind it |
| Channels in attribution | Facebook, Google and TikTok | Every channel GA4 records, paid and organic |
| AI | Profit Agent on paid plans; an MCP connection to Claude | Pro: a chatbot over your attribution data |
| Price basis | Monthly orders, averaged over the last 6 months | Per read, or Pro monthly |
| Free entry | Free plan up to 50 orders a month; 14-day trial on paid plans | First finding, worked out in your browser |
Sources: Lifetimely home, attribution walkthrough, pricing policy, Claude connection, how it works, causal attribution, pricing.
What separates them
Value per customer is not value per channel
Lifetimely's home page describes the case directly. A channel's attributed revenue and its customers' value can tell different stories, and the Profit Agent connects spend, CAC, LTV and first- and last-touch performance in one view (Lifetimely home). That catches a channel that buys cheap, short-lived customers, and it is a catch worth making. What it cannot catch is a channel credited with valuable customers it did not bring. Giving that channel the credit is the obvious reading of the view. The flaw sits in first and last touch, which record who was present. Causality Engine asks what sales would have been without the channel, from the paths already in GA4 (causal attribution).
Where they meet
The two are strongest together, and Causality Engine's own case studies show why. At Twinkels, the causal read found that customers acquired through Meta returned product at a materially higher rate than other channels. Revenue that looked real at checkout was gone two weeks later. The company reports a 60% revenue lift for the brand in 2024 after spend moved to profitable cohorts. That is its own published result, not a forecast for your store. A profit tool sees the returns. A causal read sees whether the channel caused the orders. The budget call needs both.
Lifetimely's attribution, from its own help page
The attribution walkthrough lists five reports. The Overview compares platform-reported ROAS with Shopify orders. The UTM Explorer ties Shopify orders to UTM-tagged campaigns, first and last touch. The post-purchase survey asks buyers where they heard of you. The Drill Down pulls revenue, spend, conversions and ROAS from the ad platforms' own reporting. So on that tab, the channels being judged also supply the marks. The same page says attribution covers Facebook, Google and TikTok only, and that UTM capture depends on the store theme and the cookie banner.
Prices, checked on 27 October 2026
| Lifetimely plan | Orders a month | Price a month |
|---|---|---|
| Free | Up to 50 | $0 |
| S | Up to 500 | $49 |
| M | Up to 3,000 | $149 |
| L | Up to 7,000 | $299 |
| XL | Up to 15,000 | $499 |
| XXL | Up to 25,000 | $749 |
| Unlimited | Above 25,000 | $999 |
Lifetimely's pricing reference adds an Amazon add-on at $75 a month and extra Profit Agent credits at $49 a month. Its pricing policy says a store that exceeds its plan's orders for two months running is told to upgrade. Causality Engine's pricing page lists €99 for one read, refundable within 30 days. Pro is €299 a month billed monthly, and Enterprise is a pilot on a custom quote, all excluding VAT.
Choose Causality Engine if your job is
- Deciding which channels get next month's budget, on evidence of what each one caused.
- Checking whether a channel credited with high-LTV customers brought them, or only met them.
- Reading Pinterest, email, organic and referral alongside Meta, Google and TikTok, from the one export.
Choose Lifetimely if your job is
- Daily profit and loss after product costs, shipping, fees and refunds.
- LTV by cohort and product, CAC and payback, and repeat-purchase timing.
- A Profit Agent that flags margin leaks and slipping cohorts, acting only once you approve.
The product in brief: the Causality Engine glossary entry. Lifetimely runs on Shopify stores.
The free profit check, then the read
Start by hand. Enter your average order value, gross margin, shipping, fees and return rate in Causality Engine's break-even ROAS calculator to get your contribution per order. Multiply it by each channel's orders under GA4's last-click credit, and subtract the channel's spend. A channel that loses money even under that generous rule needs no further tool to raise the question. Lifetimely's free plan does the profit side for stores under 50 orders a month.
For the causal side, Causality Engine, which I founded, sells the full read for €99 at app.causalityengine.ai/start. It gives each channel's caused share, a data-health score and a next step; how it works sets out what the model assumes. If the Profit Agent recommends shifting spend toward a channel, check that channel's caused share in the read before you approve it. Pro, at €299 a month, adds automated GA4 ingestion and budget alerts.
FAQ
Does Lifetimely do marketing attribution?
Yes, within its Attribution tab. It covers platform comparison, anomaly detection, a post-purchase survey, ad-platform drill-downs and first- and last-touch UTM attribution on Shopify orders, for Facebook, Google and TikTok, per its attribution walkthrough.
Can I run both on one store?
Yes. Lifetimely connects to Shopify and your ad accounts. Causality Engine reads a GA4 export and installs nothing, so neither touches the other.
What does Lifetimely cost at 5,000 orders a month?
The L plan, up to 7,000 orders, at $299 a month, per its pricing reference. Paid plans start with a 14-day free trial.
ABOUT THE AUTHOR
I am Joris van Huët, an enterprise interim CMO. 15+ years, 50+ organizations, including ING, P&G, Nestlé, BNP Paribas, WeTransfer and Vinted. I take on innovation projects (venture building, design sprints), agentic marketing (setting up and running AI agents) and hands-on multi-channel work. See the track record.
I wrote and published this with AI assistance, and I answer for it. Claims about my own experience are limited to the track record above, and a statistic links to its source or is labelled as an example. I sell interim and fractional CMO work, which is why this site exists. How this site is written.
A senior operator doing the work: campaigns, channels, CRM and AI agents, live from day one.