Polar is a pre-built dashboard for commerce with out-of-the-box metrics and reports to ensure your team has the insights to get their jobs done.
Say goodbye to siloed and inaccurate data that is slowing you down. Centralize your analytics, sales and marketing platform data, enabling faster, data-driven decisions.
Feature | Polar Analytics | Upstack Data | Littledata |
---|---|---|---|
Customer data to marketing platforms | ✔️ | ✔️ | ✔️ |
Identity resolution to boost audiences | ✔️ | ✔️ | ✔️ |
Founder owned and led | ✔️ | ✔️ | ✔️ |
Marketing reporting | ✔️ | ✔️ | |
Proprietary attribution model | ✔️ | ✔️ | |
30 day free trial | ✔️ | ✔️ | |
Fully automatic, no code setup | ✔️ | ✔️ | |
Server-side tracking | ✔️ | ✔️ | |
Automatic tracking of checkout steps | ✔️ | ||
No-code setup for Shopify Hydrogen | ✔️ |
Polar Analytics offers pre-built dashboards with out-of-the-box metrics, focusing on ease of use for teams. Upstack Data emphasizes a fully automatic, no-code setup and centralizes analytics for faster decision-making. Both provide marketing reporting, proprietary attribution models, and identity resolution.
Littledata stands out with its automatic tracking of checkout steps, enhancing eCommerce insights. It also offers a 30-day free trial and server-side tracking, making it a more comprehensive solution for data accuracy and user experience compared to both Polar and Upstack.
Polar Analytics | Upstack Data | Littledata | |
---|---|---|---|
Example product review | "Negative points? None so far ... Getting started was incredibly easy ... integrates smoothly with all our tools and data sources." | "After testing a number of platforms...absolutely no regrets. Michael has a truly deep technical knowledge...Event Quality Match scores in meta increase, adding reliable NC purchase, NC CPA and NC ROAS metrics in ad manager is massively helpful as we're very focused on optimizing for NC..." | "We were having difficulties with accurate and consistent revenue attribution...With Littledata implemented, we now get consistent and accurate revenue attribution." |
Example support review | "Polar's customer support is also next to none... they are well worth the price we pay." | "Support is second to none... any issues we've had Michael has arranged a call immediately to diagnose the issue." | "Customer support is absolutely amazing... you can never go wrong when an app does what it says and tacks on great service!" |
Link | Read more reviews |
Store size | Polar Analytics | Upstack Data | Littledata |
---|---|---|---|
50 orders / month | $400 | $299 | $39 |
500 orders / month | $400 | $299 | $149 |
5,000 orders / month | $1150 | $599 | $349 |
20,000 orders / month | $3500 | $999 | $799 |
For an online store with 50 orders per month, Polar Analytics is 925% more expensive than Littledata, while Upstack Data is 666% more expensive. At 500 orders, Polar and Upstack are equal, with Littledata being 64% cheaper than both. At 5000 orders, Polar is 96% more than Upstack and 229% more than Littledata. For 20000 orders, Polar is 251% more than Upstack and 338% more than Littledata, while Upstack is 25% more than Littledata.
Destination | Polar Analytics | Upstack Data | Littledata |
---|---|---|---|
Meta Ads | ✔️ | ✔️ | ✔️ |
Google Ads | ✔️ | ✔️ | ✔️ |
Klaviyo | ✔️ | ✔️ | ✔️ |
TikTok | ✔️ | ✔️ | |
Google Analytics | ✔️ | ||
✔️ | |||
Segment | ✔️ | ||
Attentive | ✔️ |
Polar Analytics focuses on integrating data from Meta Ads, Google Ads, and Klaviyo, providing a streamlined approach for eCommerce analytics. Upstack Data includes TikTok alongside the same platforms as Polar, allowing for broader social media insights. Littledata offers a more extensive range of destinations, including Pinterest and Segment, which enhances its capability for multi-channel tracking and customer engagement. The main difference lies in the breadth of platforms supported, with Littledata providing the most comprehensive options for diverse marketing channels.
Feature | Polar Analytics | Upstack Data | Littledata |
---|---|---|---|
Identity resolution | |||
Never adds new emails to your marketing list | ✔️ | ✔️ | ✔️ |
Uses other marketing channel cookies to boost identity | ✔️ | ✔️ | |
Docs on how an end-user can opt out for GDPR / CCPA | ✔️ | ||
Backstitches Klaviyo profile onto previous customer events | ✔️ | ||
Viewed Product trigger | |||
Tracked client-side | ✔️ | ✔️ | |
Tracked server-side | ✔️ | ||
Enriched product info (e.g. category) | ✔️ | ||
Backwards compatible with Klaviyo templates | ✔️ | ||
Added to Cart trigger | |||
Unreliable tracking of button clicks | ✔️ | ✔️ | |
Reliable via Shopify's servers | ✔️ | ||
Enriched product info (e.g. category) | ✔️ | ||
Backwards compatible with Klaviyo templates | ✔️ | ||
Target the whole contents of the cart | ✔️ | ||
Checkout Started trigger | |||
Direct from Shopify's servers | ✔️ | ✔️ | |
Tracked via the checkout page | ✔️ | ||
Backwards compatible with Klaviyo templates | ✔️ |
Littledata offers distinct advantages for tracking customers from Shopify to Klaviyo. Its documentation on GDPR/CCPA opt-out ensures compliance, which is crucial for data privacy. Unlike Polar Analytics and Upstack Data, Littledata backstitches Klaviyo profiles onto previous customer events, providing a comprehensive view of customer interactions over time. This feature enhances customer insights and segmentation, allowing for more targeted marketing. Additionally, Littledata's use of other marketing channel cookies to boost identity further improves data accuracy and customer tracking. Overall, these benefits make Littledata a more robust choice for CRM management compared to Polar Analytics and Upstack Data.
Feature | Polar Analytics | Upstack Data | Littledata |
---|---|---|---|
Google Ads Conversions | |||
Real-time tracking of Enhanced Conversions | ✔️ | ✔️ | ✔️ |
Fully automatic setup | ✔️ | ✔️ | |
Tracked direct from Shopify's servers | ✔️ | ||
New vs Returning customer conversions | ✔️ |
Feature | Polar Analytics | Upstack Data | Littledata |
---|---|---|---|
Key benefits | |||
Boost to Event Match Quality Score | ✔️ | ✔️ | ✔️ |
100% accurate revenue in Meta | ✔️ | ✔️ | ✔️ |
Pre-purchase audiences based on first-party data | ✔️ | ||
Target subscriptions vs one-time purchases | ✔️ | ||
Fully automatic setup | ✔️ | ||
AddToCart | |||
Via Conversions API | ✔️ | ||
InitiateCheckout | |||
Via Conversions API | ✔️ | ||
Includes all checkout steps | ✔️ | ||
Purchase | |||
Via Conversions API | ✔️ | ✔️ | ✔️ |
Includes post-purchase upsells | ✔️ | ||
Includes recurring orders | ✔️ | ||
Filters to exclude orders from some channels | ✔️ | ||
New vs Returning customer conversions | ✔️ |