Polar Analytics is the #1 Lifetimely alternative for ecommerce analytics.
The #1 Lifetimely alternative for Shopify brands that need LTV analytics, attribution, and full business intelligence in one platform.
LTV & Cohort Analytics
Custom Profit Reporting
All-in-One BI + Attribution
Lifetimely shows you LTV. Polar shows you how to increase LTV.
You've outgrown cohort charts. It's time for the full data stack.
Trusted by 4,000+ ecommerce brands and agencies
LTV is just one metric: how Polar goes beyond Lifetimely
LTV + Attribution
Polar combines Lifetimely's cohort analytics with multi-touch attribution in a single unified view.
Custom Profit Reports
Build custom P&L and Contribution Margin reports instead of relying on Lifetimely's rigid templates.
All-In-One Platform
Replace your attribution tool, BI dashboards, and data warehouse with one subscription.
How Polar Analytics compares with Lifetimely
Below is a comparison table between Polar Analytics and Lifetimely, followed by a list of competitor-unique features.
Lifetimely
Polar Analytics
Lifetimely
First-party pixel
Yes, in-house built, 100% transparent
❌ No pixel
Server-side tracking & CAPI
❌ No
Incrementality / GeoLift
❌ No
Custom dashboards
Yes, fully customizable
✓ Yes - custom dashboards
Custom metrics & dimensions
Yes, custom formulas & equations
Partial - custom modules
Cohort / LTV analysis
Yes, advanced cohort analysis
-
Profit / contribution margin reporting
Partial - basic P&L
Net profit reporting
-
YoY comparisons
❌ No
Pivot table-like analysis
Report Builder allows multi-dimension breakdowns
❌ No
Multi-store / multi-brand dashboards
Yes, granular per brand
Partial - limited multi-store
Automations
Partial - basic
Snowflake data warehouse
Yes, dedicated instance per customer
❌ No
Native integrations count
Yes, +45 connectors
Limited - Shopify-focused
Data export / portability
Yes, full anytime export
Partial - limited
Data ownership on exit
Yes, your Snowflake = your data
❌ No
Open MCP (Claude / ChatGPT)
❌ No
CSM assigned
Partial - limited
Got Questions? We've Got Answers
How long does migration from Lifetimely to Polar take?
Most brands complete the migration from Lifetimely to Polar Analytics within 48-72 hours. Polar's onboarding team handles pixel setup, data connector configuration, and historical data import. A dedicated CSM is assigned from day one to ensure a seamless transition with zero downtime on your reporting.
What if I need a connector not listed?
Polar Analytics supports 45+ native connectors and is constantly adding new ones based on customer requests. If you need a connector that isn't listed, Polar's team can typically build and deploy a custom connector within 1-2 weeks. You can also push data into your dedicated Snowflake warehouse via API or CSV upload as an interim solution.
What is the main difference between Polar Analytics and Lifetimely?
Lifetimely is primarily a cohort and LTV analytics tool for Shopify. Polar Analytics is a full-stack platform combining LTV/cohort analysis, first-party attribution, profit analytics, and custom BI - all in one. The biggest difference: Polar has its own pixel and attribution engine, so you can connect marketing spend to customer lifetime value. Lifetimely has no pixel, no attribution, and no way to measure acquisition cost at the cohort level.
Can Polar Analytics match Lifetimely's cohort and LTV reporting?
Yes - and go deeper. Polar provides customizable cohort analysis by product, collection, acquisition channel, geography, and any custom dimension. You get actual transaction-based LTV (not just AI estimates), cumulative repurchase rates, and the ability to filter by Klaviyo segments or first-product ordered. Polar also offers product journey analytics and time-between-orders reporting, features that Lifetimely users value most.
Is Polar Analytics more expensive than Lifetimely?
Polar is priced higher than Lifetimely's base plan, but it replaces multiple tools - not just Lifetimely but also your attribution platform and custom reporting stack. Brands that consolidate onto Polar typically save money overall by eliminating 2-3 separate subscriptions. For the depth of BI, attribution, and LTV analytics you get, Polar delivers significantly more value per dollar than Lifetimely alone.
Does Polar Analytics support profit and loss reporting like Lifetimely?
Yes. Polar provides full P&L reporting with contribution margin, COGS, shipping costs, discounts, taxes, and refunds. You can create custom profit metrics and import expense data via Google Sheets or native integrations. While Lifetimely offers basic P&L, Polar goes further with custom metric formulas, multi-source data blending, and the ability to see true net profit by channel, product, or customer segment.
Can I see product journey and repeat purchase analytics in Polar?
Yes. Polar offers product journey visualization, time-between-orders analytics, and repeat purchase rate breakdowns by first product, repurchased product, and time period (30/60/90/365 days). You can also segment by Klaviyo performance and email campaigns to understand how retention efforts impact purchase frequency - a capability Lifetimely cannot provide.
Does Polar Analytics have predictive LTV like Lifetimely?
Polar currently focuses on actual, transaction-based LTV analytics rather than AI-estimated projections. Polar's Ask Polar AI can build custom reports and answer questions about your cohort data instantly. Predictive LTV features are on Polar's roadmap, and the platform's flexibility with custom metrics means you can build proxy indicators today. For brands that need real data over estimates, Polar is the stronger choice.
How long does it take to switch from Lifetimely to Polar?
Most brands are fully onboarded within 48-72 hours. Polar imports up to one year of historical data on the free trial (unlimited on paid plans), so you won't lose continuity. Pre-built retention dashboards, cohort tables, and LTV reports are ready on day one. A dedicated CSM guides your migration and helps replicate any Lifetimely workflows you rely on.
What does Lifetimely have that Polar Analytics doesn't?
Lifetimely offers predictive AI-estimated LTV projections and automatic Shopify app expense pulling, which Polar does not yet support natively. Lifetimely is also simpler and cheaper for brands that only need basic cohort views. However, Polar surpasses Lifetimely in every other area: attribution, custom metrics, profit analytics, Snowflake access, data enrichment, multi-store reporting, and the ability to connect acquisition cost to lifetime value.
Overview of Lifetimely
Lifetimely is a Shopify app focused on customer lifetime value (LTV) tracking, profit analytics, and cohort analysis. Popular among smaller Shopify brands for its simplicity, clean interface, and affordable pricing.
Pros
- Best-in-class LTV and cohort analysis for Shopify
- Affordable pricing starting at $149/mo
- One-click Shopify install with instant insights - no technical setup
Cons
- No attribution engine, tracking pixel, or ad performance data
- Limited custom reporting - no custom metrics or dimensions
- Shopify-only with no multi-platform or multi-store support
1. Alternative - Polar Analytics
All-in-one ecommerce data stack with LTV analytics, attribution, BI, and AI agents. Includes cohort analysis, custom metrics, and a dedicated Snowflake warehouse.
Pros
- Full data stack - attribution + BI + AI agents + dedicated Snowflake warehouse in one platform
- Dedicated Snowflake data warehouse per customer - full SQL access, raw data export, and 100% data ownership
- Built-in incrementality and geo lift testing to measure true causal impact of ad spend
- Deterministic multi-touch attribution with 10+ models across all channels
- 45+ native integrations - ads, email, SMS, Shopify, ERPs, and more
Cons
- Shopify-focused - not built for non-ecommerce verticals
- Feature depth may be more than needed for very small brands just starting out
2. Alternative - Triple Whale
Shopify analytics with attribution, creative analytics, and real-time dashboards. More features than Lifetimely but at a higher price.
Pros
- Attribution + creative analytics included
- Real-time Shopify dashboard
- Moby AI for quick insights
Cons
- Much more expensive than Lifetimely
- LTV and cohort analysis less refined than Lifetimely
- No data warehouse or raw data access
3. Alternative - Peel Insights
Automated Shopify analytics with cohort analysis, retention tracking, and customer segmentation. Clean dashboards with pre-built reports.
Pros
- Strong retention and cohort analytics - most direct Lifetimely competitor
- Customer segmentation capabilities
- Clean, intuitive interface
Cons
- Shopify-only with no multi-platform support
- No attribution or tracking
- Limited custom reporting depth
4. Alternative - Glew
Ecommerce analytics platform offering pre-built dashboards, audience segmentation, and multi-channel reporting across Shopify, BigCommerce, and Amazon. Covers merchandising and inventory metrics, but users report slow load times, platform stability issues, and limited integrations on lower-tier plans. No attribution or pixel included.
Pros
- Pre-built customer segments with Klaviyo export
- Multi-platform support (Shopify, WooCommerce, BigCommerce)
- Product performance analytics
Cons
- Slow and unstable platform - frequent crashes
- Very poor customer support
- No attribution or tracking
5. Alternative - Daasity
Data analytics platform for DTC and CPG brands built on top of Looker. Aggregates Shopify, Amazon, and wholesale data with a professional services model. Good for enterprise brands with data teams, but requires paid consulting for custom reports, has no native attribution engine, and locks you into Looker dependency.
Pros
- Omnichannel support including retail and wholesale
- Data warehouse capabilities
- Strong merchandising and inventory analytics
Cons
- Complex setup with steep learning curve
- Expensive - starts at $999/mo
- Overkill for brands just needing LTV and cohort analysis
6. Alternative - Northbeam
ML-powered attribution platform offering multi-touch attribution, media mix modeling (MMM+), and cross-channel measurement. Targets mid-market and enterprise brands with sophisticated statistical models, but requires 6-8 months of onboarding data, starts at $1,000+/month, and provides no BI dashboards or data warehouse.
Pros
- Multi-touch attribution with ML models
- MMM+ for budget planning
- Multi-platform ecommerce support
Cons
- No LTV or cohort analysis
- Expensive - $1,000+/mo
- Attribution-only - no BI or profit reporting
7. Alternative - Source Medium
Shopify analytics platform with a spreadsheet-style interface designed for marketing and finance teams. Offers profit analytics, blended ROAS dashboards, and affordable pricing for smaller brands. However, it has limited attribution capabilities, no data warehouse, and its reporting depth becomes insufficient as brands scale past $10M in revenue.
Pros
- Aggregates ad platform and Shopify data
- Familiar Looker Studio interface
- Good for basic cross-channel reporting
Cons
- Relies on Looker Studio - not native
- No LTV or cohort analysis
- Per-brand pricing gets expensive
8. Alternative - Google Analytics 4
Google's free, event-based web analytics successor to Universal Analytics. Offers cross-device tracking, BigQuery export, and predictive audiences for Google Ads. Powerful for web traffic analysis, but requires extensive custom event configuration for ecommerce, samples data at high volumes, and defaults to last-click attribution biased toward Google channels.
Pros
- Free for most use cases
- BigQuery export for custom analysis
- Deep traffic and behavior data
Cons
- No LTV, profit, or cohort analysis built-in
- Complex ecommerce setup
- Data sampling issues at scale
9. Alternative - Supermetrics
Data extraction and ETL tool that pulls marketing data from 100+ ad platforms into spreadsheets, Looker Studio, and data warehouses. Affordable and flexible for data pipelines, but provides no attribution, no dashboards, and no tracking pixel - it moves data but generates zero insights on its own.
Pros
- Huge number of data connectors
- Affordable starting price
- Flexible export destinations
Cons
- Data pipe only - no analytics or insights
- No LTV, cohort, or attribution capabilities
- Requires another tool for dashboards
10. Alternative - Looker Studio
Google's free data visualization tool (formerly Google Data Studio) for building custom dashboards from multiple data sources. Highly flexible and integrates natively with the Google ecosystem, but requires manual connector setup, ongoing maintenance, and custom formula creation. No pre-built ecommerce logic, and dashboards frequently break when connectors update.
Pros
- Free with no usage limits
- Highly customizable
- Large community of templates
Cons
- No built-in LTV or cohort metrics
- Requires technical expertise to build useful dashboards
- Slow performance with large datasets
Growth stories from Polar users
See how Polar Analytics compares to alternatives
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Why brands prefer Polar
Saves us ton of time when pulling data for reports. The support team is also great.
Polar Analytics is the easiest to use analytics app I've found for Shopify. The UI is the more intuitive than other apps I've tried.
The best Shopify analytics app! Super helpful for getting specific stats that we can't get with other solutions.
Polar has been a game changer for us! Not only are we making more informed strategic decisions, but we are much more efficient in our analysis.
We are an e-commerce startup and do not have resources to build a BI from scratch.
We are very impressed with its capabilities and the expert CSM team. The interface is user friendly making it easy to navigate.
Working with Polar Analytics has been an absolute pleasure. Really satisfied with the app and the team. Thank you!
Perfect tool ! just the beginning with but seems powerful and board. Great team and onboarding easy.
Fantastic app! It's a huge help especially when you are having several markets. And the Polar team is always ready to help! I can only recommend it.
Best analytics tool I've ever used. The onboarding calls have greatly helped all team members to get up to speed with the tool
They have great and responsive(!) support - very professional and knowledgeable. Highly recommended.
Very useful and well-thought app. Allows our business to connect multiple data sources and gather everything into 1 single-view dashboard.
A very useful tool to consolidate marketing metrics reporting, and the support is exceptional and always so quick.
Our team uses Polar analytics for cohort analysis updates. The support team is responsive and helpful with our requests!
Great product with a lot of features and perfect support with great reaction time :) Keep up the good work !
Great analytics app to get all the key multichannel reports we need (CAC, LTV, ROAS, etc.) and pull all your data in one place.
I have 4 shops and use Polar to give me an overview of all shops in one dashboard. Also, integration with Analytics and Klayvio is perfect.
If you need a reliable tool for data, try this one.
Great analytics app built by a team familiar with key ecomm metrics. Simplifies my daily and weekly reporting.
Very intuitive app, clear reports, easy to plug with different platforms. The support team is so reactive and efficient. New good features very often.
The best and easiest-to-use analytics app I've found on Shopify. if I do not know how to create something, they help right away.
The most complete and customizable tool I found in the market. I would totally recommend
We've looked for the right marketing analytics data visualization platform for 2+ years, and Polar Analytics has been the best by far.
We needed a high-performance app that was adapted to our business.
Polar Analytics est un outil incroyable pour regrouper les données utiles au fonctionnement et au développement de votre e-commerce.
One of the best, if not the best analytics Tools out there. Pricing is fair, and very very good value for Customer Service.
Polar is easy to setup and offers tons of value, KPI's and metrics out of the box. 100% plug&play with the option of adding custom metrics too.
Very useful tool. All data into one unique dashboard, this is brilliant. Very easy to integrate sources.
I love how Polar Analytics allows us to get daily updates and analytics from all of our channels in one streamlined platform.
After spending $1000+ in Data Studio Connectors and data viz freelancing we found Polar that made our marketing decision much easier.
Polar Analytics is the best eCom analytics tool! User-friendly, customizable reports, and seamless Shopify integration.
Logiciel très intuitif et agréable à utiliser tous les jours.
Smooth onboarding and started to get meaningful insights in our ecommerce data from the very beginning
Incredibly easy to use & powerful, plug and play analytics with integrations on most of the apps any Shopify merchant use
A game-changer for our acquisition strategy, making it incredibly easy to track performance and optimize campaigns.
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