Subscription vs One Time Analysis: Which Is Right for You
Compare subscription-based attribution with one-time analyses to determine the best fit for your Shopify ecommerce brand.
€99 once, excl. VAT. Full refund within 30 days, no questions asked. You keep the read.
By Joris van Huët, Founder & CEOUpdated 2 min read
Choosing between a subscription and a one-time analysis depends on your brand's marketing cadence, budget, and data needs.
One-Time Analysis
See also: Hyros Setup Time: What to Actually Expect From Week One
Ideal if:
You want to test marketing attribution before committing
You have infrequent campaigns or seasonal spikes
You need a single deep dive report to inform specific decisions
Pricing: €99 per analysis
Pros:
No commitment
Pay only when needed
Access to full Bayesian causal inference reports
Cons:
Higher per-analysis cost if used frequently
No ongoing insights
Subscription
Ideal if:
You run continuous marketing campaigns
Need regular attribution updates
Want to track performance changes over time
Pricing starts at €299/month
Pros:
Lower cost per analysis
Multiple analyses included
Access to advanced features
Priority support
Cons:
Monthly commitment
Which to Choose?
Choose one-time if your attribution needs are occasional or exploratory.
Choose subscription for ongoing marketing refinement and cost efficiency.
For detailed subscription features and tiers, visit our Pricing page.
Learn more about marketing attribution methodology at Wikidata.
Sign up now or log in at causalityengine.ai/start to select your plan.
Related Resources
Agency vs In House Attribution Numbers: Who Is Right
Causality Engine vs. Measured: Incrementality Testing Compared
Customer Success and Support: We Are Here to Help
Last Click vs. Data-Driven Attribution: Which Should You Use?
Frequently asked questions
Can I upgrade from one-time to subscription?
Yes, you can upgrade anytime and receive prorated credits for previous purchases.Are subscription analyses usable immediately?
Yes, analyses included in your subscription are available on demand.Is there a minimum subscription period?
Subscriptions are monthly with no long-term contracts.
Go deeper: Causal attribution, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- Causal InferenceCausal inference is the set of methods for estimating how much an outcome changes because of a cause, rather than alongside it. It works by comparing what happened with an estimate of what would have happened without the cause.
- CausalityCausality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
- ClickClick is the action a user takes to interact with a digital advertisement, redirecting them to a website or landing page. Clicks are a fundamental metric for measuring ad engagement and a primary input for click-based attribution models.
- IncrementalityIncrementality is the part of an outcome, such as orders or revenue, that a marketing activity caused: the extra results compared with what would have happened without it. It is a causal effect, not the number of conversions credited to a channel.
- Incrementality TestingIncrementality Testing measures the additional impact of a marketing campaign. It compares exposed and control groups to determine causal effect.
- Marketing AttributionMarketing attribution assigns credit to marketing touchpoints that contribute to a conversion or sale. Causal inference enhances attribution models by identifying true cause-effect relationships.