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| User Data | Ticket Parser Extract Patterns by Knots | |
|---|---|---|
| Tagline | — | — |
| Description | — | — |
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| Metric | User Data | Ticket Parser Extract Patterns by Knots |
|---|---|---|
| Rating | 3.0 ★ | ★ 5.0 ★ |
| Total reviews | ★ 11k | 10 |
| Free plan | Yes | Yes |
| Pricing | Free | Free to install |
| Built for Shopify | — | — |
Based on the data on this page, Ticket Parser Extract Patterns by Knots is the stronger choice for most Zendesk Marketplace merchants — 5.0★ vs User Data's 3.0★ is a meaningful gap that usually reflects real product or support quality differences across the user base. Pricing entry tiers: User Data at Free, Ticket Parser Extract Patterns by Knots at Free to install. Check each app's tier structure for the capacity limits you actually need before deciding — the headline number is the same shape, but the gating shape per tier (apps, orders, integrations) varies. User Data has the larger user base (11,368 reviews vs 10), which usually maps to broader integration coverage, faster bug-fix cadence, and a deeper bench of community workflow patterns. Ticket Parser Extract Patterns by Knots's smaller cohort can be an advantage for niche workflows where the bigger app has accumulated bloat. Recommended by store size: small/early-stage merchants who need fast install and low risk should default to Ticket Parser Extract Patterns by Knots; mid-market and enterprise merchants with specific feature requirements should evaluate both — User Data's 11,368-review base may include the workflow context that matches your specific use case better than Ticket Parser Extract Patterns by Knots's broader-but-shallower coverage. This verdict is generated from the live marketplace data on this page — rating, review count, pricing tier, and category position all refresh from the canonical Zendesk Marketplace listing every 24 hours. AppRanks does not accept payment to influence comparison outcomes; the methodology is documented on the About page and applies identically to every pair on the site.
Read each app's audit: User Data audit • Ticket Parser Extract Patterns by Knots audit
Both User Data and Ticket Parser Extract Patterns by Knots offer paid plans only. User Data starts at Free; Ticket Parser Extract Patterns by Knots starts at Free to install. Compare the per-tier features in the Pricing section above before committing.
Ticket Parser Extract Patterns by Knots has the higher average rating (5.0★ from 10 reviews) compared to User Data (3.0★ from 11,368 reviews). Both are tracked daily by AppRanks, so the figures here update each refresh cycle.
It depends on what you're optimizing for. User Data fits better if you prioritize broader integrations; Ticket Parser Extract Patterns by Knots is the call if you need the higher-rated option. Read both apps' detail pages on AppRanks for the full feature breakdown, install counts, and recent listing changes.
Both apps are one-click installs from the Zendesk Marketplace marketplace. User Data has more onboarding documentation maturity (11,368 reviews vs 10), which usually translates to better-tested setup wizards and quicker time-to-value. AppRanks doesn't measure setup time directly — read the recent reviews on each app's detail page for merchant-reported install experience.
User Data typically suits established stores with steady traffic based on its review-base composition (11,368 reviews). Ticket Parser Extract Patterns by Knots aligns more with early-stage and growth-mode stores (10 reviews). Larger review bases generally mean the app has been load-tested at scale — relevant if you're processing high order volume or handling enterprise compliance requirements.
Migration support varies by app and category. User Data and Ticket Parser Extract Patterns by Knots both publish their export options on their marketplace listing pages (or in their support docs); some apps offer one-click import from competitors, others require CSV. The fastest check: search "import from Ticket Parser Extract Patterns by Knots" in each app's help center. AppRanks does not track migration tooling directly — this is a category-specific capability worth verifying before commitment.