CausalFunnel DataScience for Shopify App Store
CausalFunnel DataScience is the #527 ranked analytics app on Shopify, with a free plan available, as of Sep 8, 2026.
CausalFunnel DataScience is a Shopify App Store app by DataScience@CausalFunnel, launched February 2022.
AppRanks data: CausalFunnel DataScience ranks #527 in Analytics on Shopify App Store, placing it in the top 41% of that category.
AppRanks verdict
Generated from live marketplace data — refreshed daily
CausalFunnel DataScience is a newly-listed Shopify app with a limited review volume. It is listed in the Analytics category on Shopify App Store, which AppRanks treats as the canonical taxonomy node for ranking and competitor comparison. no published reviews yet means feature claims are unverified by the wider merchant base. Without a published review base, the only fit-signal available is the developer's own documentation plus the marketplace's listing-quality audit (linked below). The free tier lets you trial the entry feature set without committing a payment method. AppRanks tracks rating, review count, pricing tier, and category position daily — the figures on this page reflect the most recent scrape from the canonical Shopify App Store listing.
Pros
- +Free tier available — no card required to evaluate
- +Published by DataScience@CausalFunnel — established developer track record
Cons
- −No public reviews yet — fit and reliability are unverified
Looking to switch from CausalFunnel DataScience?
See CausalFunnel DataScience's alternatives ranked by audit score, rating, and review velocity.
About CausalFunnel DataScience
How CausalFunnel DataScience works
1. Use Persona Predictors with Intent Mapping to boost your conversion. * Combine Personas with Ad Spends to acquire new paying customers. 2. Combine Personas with Ad Campaigns' UTM parameters to improve conversion. 3. Use Cookie-less, DeepID technology to know accurately your Return on Ad Spend metric. * Deploy your ad dollars to the best-performing channels/campaigns in real time using our ROAS Tracker + CausalFunnel's A/B Test suite. 4. Use our SEO toolkit to increase site traffic.
Screenshots
Key features
- High-accuracy intent prediction
- Automated personalized nudges (offers)
- Report Visitors Activities
Pricing plans
FREE
|
GROWTH249/month
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Most popular ENTERPRISE499/month
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ENTERPRISE999/month
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Category rankings
As of Sep 8, 2026- Analytics#527of 1,297Top 41%
See 90-day rank history for each category
Track daily rank changes, category shifts, and position volatility.
Competitors & alternatives
CausalFunnel DataScience doesn't have curated competitor matchups yet. Other tracked analytics apps on Shopify:
Frequently asked questions
What is CausalFunnel DataScience?
CausalFunnel DataScience is an app for Shopify. It is published on Shopify App Store and tracked by AppRanks, and it has been listed on the marketplace since 2022. It is listed under the Analytics category on AppRanks, where you can see its current category position, review-velocity trend, and how it compares against the top alternatives in the same space. Developed by DataScience@CausalFunnel.
Is CausalFunnel DataScience free?
CausalFunnel DataScience offers a free plan that merchants can install on Shopify without entering payment details. Paid tiers GROWTH, ENTERPRISE, ENTERPRISE unlock additional features for teams that outgrow the free plan. Pricing details on this page are mirrored from the live Shopify listing and refresh on each scrape cycle.
Who uses CausalFunnel DataScience?
CausalFunnel DataScience is actively installed across Shopify stores tracked by AppRanks. Its review base is still building, which usually maps to early-stage merchants and stores piloting a new workflow. It is part of the Analytics category on Shopify.
Where does CausalFunnel DataScience rank on Shopify?
CausalFunnel DataScience currently sits at position #527 in the Analytics category on Shopify. That places it in the top 41% of 1,297 apps tracked in the same category. Category positions are read from the live marketplace ranking and refresh on each scrape, so the number you see here reflects the most recent crawl rather than a long-running average.