Side-by-side comparison · 24 data points
Increase your average order value with offering bundles, gifts, and applying volume discounts!
| Kaching Bundles App & Upsells | DataPocket | |
|---|---|---|
| Tagline | ||
| Description | ||
| Screenshots | images | images |
| Languages | ||
| Platforms | ||
| Developer | ||
| Listed |
Connect your product images to Canva, Figma and Adobe for seamless design
| Metric | Kaching Bundles App & Upsells | DataPocket: Design Boost |
|---|---|---|
| Rating | 5.0 ★ | 5.0 ★ |
| Total reviews | ★ 5.8k | 2 |
| Free plan | Yes | Yes |
| Pricing | Free plan available | Free plan available |
| Built for Shopify | ★ Yes | — |
| Pricing tiers | ★ 4 tiers | 2 tiers |
| Listed features | ★ 5 | 3 |
| Featured placements | 5 | — |
| Languages | 9 supported | 1 supported |
| Listed since | Aug 2022 | Oct 2024 |
Kaching Bundles App & Upsells and DataPocket: Design Boost are evenly matched on rating (5.0★ vs 5.0★) — the differentiator comes down to pricing fit, feature breadth, and which app's interaction pattern suits your team's workflow.
Pricing entry tiers: Kaching Bundles App & Upsells at Free plan available, DataPocket: Design Boost at Free plan available. 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 (seats, usage volume, integrations) varies.
Kaching Bundles App & Upsells has the larger user base (5,750 reviews vs 2), which usually maps to broader integration coverage, faster bug-fix cadence, and a deeper bench of community workflow patterns. DataPocket: Design Boost's smaller cohort can be an advantage for niche workflows where the bigger app has accumulated bloat.
Recommended evaluation path: install both apps' free tiers (where available) and run them in parallel on a small cohort for 7-14 days before committing. The data tables below show the per-feature breakdown — for most merchants the deciding factor will be a single integration or workflow detail that's hard to compare from listing pages alone.
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 Shopify App Store 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: Kaching Bundles App & Upsells audit • DataPocket: Design Boost audit
| Last updated | — | — |
|---|
| Keyword | Kaching Bundles App & Upsells | DataPocket |
|---|---|---|
| bundles | #1 | Not ranked |
| bundle | #1 | Not ranked |
| upsells | #3 | Not ranked |
| canva | Not ranked | #18 |
| in canva | Not ranked | #18 |
Not featured in any section recently.
Both Kaching Bundles App & Upsells and DataPocket: Design Boost offer paid plans only. Kaching Bundles App & Upsells starts at Free plan available; DataPocket: Design Boost starts at Free plan available. Compare the per-tier features in the Pricing section above before committing.
Kaching Bundles App & Upsells (5.0★, 5,750 reviews) and DataPocket: Design Boost (5.0★, 2 reviews) are essentially tied on rating. Look at review velocity and individual reviewer quotes — both visible on each app's detail page — to differentiate.
AppRanks cannot separate these two on rating — both sit at 5.0★. Kaching Bundles App & Upsells does carry the larger published review base (5,750 vs 2). Read both apps' detail pages for the feature breakdown and recent listing changes.
Both apps are one-click installs from the Shopify App Store. Kaching Bundles App & Upsells has the deeper published review base (5,750 vs 2), which often — though not always — accompanies better-tested setup docs. AppRanks doesn't measure setup time directly: read the recent reviews on each app's detail page for user-reported install experience.
Kaching Bundles App & Upsells typically suits established teams with steady usage based on its published review base (5,750 reviews). DataPocket: Design Boost typically suits early-stage and growth-mode teams based on its published review base (2 reviews). A larger review base generally means the app has been exercised at scale — relevant if you are processing high volume or handling enterprise compliance requirements.
Migration support varies by app and category. Kaching Bundles App & Upsells and DataPocket: Design Boost 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 DataPocket: Design Boost" in each app's help center. AppRanks does not track migration tooling directly — this is a category-specific capability worth verifying before commitment.
