Some Windsor AI alternatives for marketing reporting automation include: Supermetrics, Funnel, Windsor AI, Power My Analytics, Dataslayer, AgencyAnalytics, and Polar Analytics.
Windsor AI overview
Windsor is an ETL tool and marketing attribution software. Since 2019, it has developed over 300 integrations for data collection and data pipelines, built for technical marketers and data analysts.
Reasons to seek Windsor AI alternatives
You’d look for Windsor.ai alternatives if:
1) You’re looking for friendlier no-code data integrations for marketing reporting
2) You need to do data transformation before sending your data to a destination
3) You need a more dedicated marketing attribution software for B2B or e-commerce
Porter Metrics
Porter Metrics is a no-code marketing reporting tool to measure marketing performance towards bottom-line, revenue metrics with no data warehouses, scripts, or additional tools required.
It connects to the most popular B2B and e-commerce marketing data for small businesses such as Shopify, HubSpot, GA4, Facebook Ads, and Instagram, to destinations like Looker Studio (formerly Data Studio) and GoogleSheets.
+100 Looker Studio templates and +100 Youtube tutorials on marketing reporting. Used by +1,500 marketing teams in 60 countries.
Porter Metrics pricing
Simple, flat pricing based solely on the number of connected accounts across various marketing platforms. Plans range from $14.99/month for 1 account to $180/month for 40 accounts. All plans include unlimited users, data destinations (Looker Studio, Sheets), integrations, with no additional usage fees.
Porter Metrics integrations
18+ data Sources for marketing teams and agencies in B2B or e-commerce, incuding:
- Ads: Google Ads, Facebook Ads, LinkedIn Ads, TikTok Ads, Twitter Ads (X).
- Social Media: Facebook Insights, Instagram Insights, LinkedIn Company Pages, TikTok Organic
- Social Media Competitors: Facebook and Instagram Pubic data
- Marketing Analytics: GA4
- CRM and Email Marketing: ActiveCampaign, HubSpot, MailChimp, Klaviyo.
- SEO: Google Business Profie
- E-commerce: Shopify, Amazon Seller Central, WooCommerce
Destinations:
Porter Metrics pros
Granular, real-time data marketing integration: Porter allows free combination of all metrics and dimensions within a data source connector. Standardizes common dimensions (e.g. “dates”) across integrations, enabling data blending from typically separate API data (e.g. followers, stories, posts). Offers “real-time” mode for direct API data retrieval ensuring accuracy, with option to disable for faster, more stable data warehousing.
“Easy to integrate with Looker Studio and we can easily show all needed info and data to our clients from different channels.”
Self-managed BigQuery: Porter automatically backfills your data on its Google BigQuery to gurantee the highest speed, accuracy, and stability. Optionally, customers can request to migrate their data to their own Google BigQuery.
1:1 multilingual support: Porter offers free, unlimited support and chat in english and spanish. You can request calls with its founders not only to help you fix issues but to guide you to build marketing reports, analyze your marketing campaigns—and even teaching you Looker Studio (formerly Google Data Studio)
“It’s almost too difficult to choose a single dashboard with so many available. However, Juan is on hand to guide you and the premium dashboards are well worth the investment.”
Only pay for accounts you connect: Plans include unlimited users, all data destinations, and integrations with no additional usage fees. Pricing is based on the number of connected accounts across various marketing platforms. Annual Team ($399) and Agency ($999) plans offer free onboarding, training, and the Agency plan includes custom reporting services.
Porter Metrics cons
Fewest connectors: only offers 18 integrations, focusing on SMBs and agencies doing e-commerce and lead generation using Social Media, PPC, and email as marketing channels.
“There are still some limitations with app connections but I believe they are working on this!”
No data transformation features: currently, Porter focuses on delivering integrations, but doesn’t have a built-in way to blend and segment raw data, or create custom fields. Yet, you can do data mapping directly Looker Studio or Sheets and use their data blending features, REGEX, or VLookups to get cross-channel reports and custom segments.
Slow vs real-time: you can load data in two ways:
- Scheduled syncs occur every few hours, offering steady but not real-time data updates.
- Real-time mode, reliant on API limits and platform capacity, delivers data promptly, though load times may vary due to API rate limits across multiple sources.
APIs don’t work from time to time. Something the reports haven’t all the areas required.
Thomas G., Managing Director, Small-Business
Supermetrics
Supermetrics is a data integration and reporting tool for marketing and sales data. With 200+ integrations for e-commerce, B2B, ads, sales data, Supermetircs is an established market leader with 17,000+ customers, tracks 10%+ global ad spend.
Supermetrics collects data from sources like CRMs, analytics tools, and ad platforms, then loads it directly into the destinations teams already use – spreadsheets, visualization tools, data warehouses.
Supermetrics pricing
Supermetrics pricing is based on number of integrations, accounts per data source, and destinations. Higher tiers unlock more integrations, while agencies may need custom plans for additional accounts. Pricing varies across destinations, with spreadsheets and Looker Studio being more affordable compared to Power BI and data warehouses.
Plans range from $87/month for the Essential plan with 1 user and 11 data sources, up to $724/month for the Super plan with 1 user and 82 sources. Enterprise custom pricing is available for unlimited users and 119 sources.
Additional costs include $87-$724 per extra user and $24 per additional data source. All plans include automated data refreshes and connectors.
Supermetrics integrations
200+ data Sources for sales and marketing SMB and enterprise teams, including:
- Ads: Facebook Ads, LinkedIn Ads, TikTok Ads, Snapchat Ads.
- Social Media: Facebook Insights, Instagram Insights, LinkedIn Company Pages.
Web Analytics: Google Analytics 4, Adobe Analytics.
- CRM and Email Marketing: Salesforce, ActiveCampaign, HubSpot, MailChimp.
- SEO and Content: Ahrefs, Semrush Analytics.
- E-commerce: Shopify, Amazon Seller Central.
Destinations:
- Spreadsheets: Google Sheets, Microsoft Excel.
- Visualization tools: Power BI, Monday.com.
- Data warehousing: BigQuery, Google Cloud Storage, Amazon S3, Snowflake, Azure Storage, Azure Synapse, Amazon Redshift, Azure SQL Database, SFTP.
Supermetrics pros
Flexible data granularity: Supermetrics data source connectors allow freely combining metrics and dimensions directly from dashboards and spreadsheets, unlike ETL tools requiring pre-setup tables and data combinations to set up marketing data pipelines.
Easy to use for Sheets users: it allows users to directly connect data sources to data destinations without extra setup, SQL, or parameters. Although it does not control the UI/UX like dedicated reporting tools, its role as a data integration platform and data aggregator makes it appealing for those accustomed to tools like Google Sheets.
“I use Supermetrics with Google Sheets to automatically import data from all of our paid media channels. They have a Google Sheets add-on so accessing Supermetrics and creating queries is all done right inside Google Sheets.”
Supermetrics has a transformation layer that let users blend data across channels to allow calculating global CPAs, ROAS, goals, currency conversions, agency markups, and creating custom fields. This feature is only available for higher plans and a sales call is required.
Storage: accuracy, speed, and stability: Supermetrics doesn’t have default data storage ( but rather let users pull their data on destinations where they can store it such as a spreadsheet or a data warehouse. As such, users are reliant on APIs stability, speed, and availability to get their reports.
Supermetrics does offer some storage for connectors that otherwise can’t work such as Shopify or HubSpot, but it’s limited and tend to be slow if the data volume is high. This approach gurantees that the data is up-to-date when refreshed as it comes directly from the source API.
Other reporting solutions that offer storage are prone to have several hours of delay.
Scaled support team: previously criticized for its quality. Recent reviews highlight faster and more effective service, supported by team expansion efforts shown on their career and LinkedIn pages.
“…We’ve dealt with a few issues when initially getting used to this platform but their customer support team are best-in-class and respond quickly.”
Supermetrics cons
Slow, unestable integrations: Supermetrics doesn’t store data by default. Speed, stability, historical data dependent on APIs – often slow. New paid storage service (launched in April 2024) solves this, but requires an additional setup and only available on higher plans.
Examples: Instagram/Facebook page reach 28 days max, Stories 24 hours. Data warehousing mandatory to utilize integrations fully.
“We’ve had trouble with certain scheduled queries failing during times of high volume. Even when we adjust the query time to run when demand should be much lower, these issues have persisted for certain platforms like Facebook…”
Bad reputation in customer support: users complain about poor customer support for a high price, mentioning slow, rigid replies via email or chat.
“…When I’ve had issues, I’ve felt a bit frustrated and disappointed with the level of support I received mostly from canned answers.”
Complex, inflexible and expensive pricing: Supermetrics’ pricing depends on number of data source, account per data source, users, data sources available only on certain plans, and destination.
“I find supermetrics to be rather expensive for my purposes, they should definitely offer a smaller subscription for those who only use 2-3 connections. Also, the discount is only applied if you pay a year in advance which is not feasible for cash flow of a small business.”
Anonymous, Small-Business, Jan 16, 2024, G2
Complex: less technical users or those with simple, specific use cases may prefer solutions with built-in reporting tools for complete control over user experience.
“The method of adding data sources is not that intuitive and requires a learning curve…”
Funnel
Funnel.io is an ETL tool with 500+ marketing and sales integrations, 10+ destinations including data warehouses, visualization tools, spreadsheets. Has ‘managed data warehouse’ model, pre-storing data for speed, stability, potentially affecting data granularity, timeliness.
Known for data transformation layer enabling custom metrics, currency conversions, cross-channel normalization, and blending. No-code tool but requires high technical proficiency akin to spreadsheet power users.
Funnel pricing
Utilizes a complex “flexpoints” pricing system calculated based on data sources and destinations. Has a free Starter plan with 350 flexpoints, $1,100/month Business plan with 3,500 flexpoints, and custom Enterprise pricing. Number of flexpoints varies by integration type.
Funnel integrations
500+ data Sources for technical marketing teams or data analysts, including:
- Organic and paid Socia : Instagram Insights, LinkedIn Organic.
- Web Analytics: Google Analytics, Adobe Analytics, Mixpanel Cohorts.
- CRM and E-commerce: Salesforce, Shopify, Adtriba, INCRMNTAL.
Destinations:
- Spreadsheets: Google Sheets, Microsoft Excel.
- Visualization tools: Looker Studio, Tableau, Power BI.
- Data warehousing: Snowflake, Amazon S3, Google BigQuery, MongoDB.
Funnel pros
Granularity and no-code data transformation: Users can freely combine any metrics or dimensions across data sources through its data explorer. Funnel then provides normalized channel data that can be easily blended. Its transformation layer allows building custom metrics/dimensions via formulas and conditionals, savable across all integrations and destinations.
“What I like most about Funnel is how customizable it is. Within their Data Explorer, you can look at the data in any way you please and in any possible configuration. You can create custom metrics and dimensions and any type of filter imaginable.”
Built-in storage: Funnel.io’s built-in storage enables faster loading of Looker Studio and Google Sheets reports compared to direct connectors. As a self-managed tool, marketing teams don’t require additional storage setup like with Google Sheets or BigQuery This allows handling large data volumes and data blending for cross-channel reporting. Enterprise customers can request custom data connectors with on-demand metrics and dimensions.
Funnel cons
Missing Fields and Bugs: some users encounter limitations due to missing fields for specific use cases. Additionally, issue resolution can take months, and not all integrations are available across all pricing plans. Funnel’s data storage model may also cause delays, with data syncing sometimes taking several hours to backfill.
“Takes some time to wrap your head around, and the setup takes some time. Still some bugs in some connectors that haven’t been solved after a few months.”
Complex and expensive pricing model based on “flexpoints”: a flexible usage metric across features like connectors, data sources, and destinations. Plans (Free, Starter, Business, Enterprise) include set flexpoint amounts, with option to purchase more in 100 increments. Flexpoints vary by data source/destination type and don’t rollover monthly.
“The token system seems extremely arbitrary and does not lend itself to value for money.”
Built for analysts or technical marketers: to use funnel, you should understand formulas, transformations, condiitonals, and schemas of the integrations you seek to connect.
“Modifying certain data nodes is a bit difficult, especially when looking for historical data for GA.”
Power My Analytics
Power My Analytics is a no-code ETL tool offering direct marketing data source integrations to destinations like Looker Studio, Sheets, Analytics, Excel, BigQuery, and its API. At Porter Metrics, we benchmark it favorably for quality, customer satisfaction, and reliability.
Power My Analytics pricing
Starts at $14.95/month for 1 data source and 1 account. Scales up to $295/month for 40 sources, unlimited accounts per source, data warehousing, and 4+ admin users. Additional fees for Google Sheets ($50/month) and Google Business Profile integration.
Power My Analytics integrations
42+ data sources for PPC, e-commerce, and social media teams, including:
- Ads: Outbrain, Pinterest Ads, Quora Ads, ShareASale, SharpSpring, Snapchat Ads, Taboola, X Ads (Twitter), Yahoo Native Ads.
- E-commerce: Amazon Seller Central, BigCommerce, CartStack, eBay Seller Center, PayPal, ShipStation, Shopify, Walmart.
- Social Media: LinkedIn Company Analytics, Pinterest Lifetime Analytics, X Analytics (Twitter), YouTube Analytics.
– SEO and Web Analytics: GA4, Google Business Profile, Google Search Console.
– Email and CRM: Campaign Monitor, Constant Contact, HubSpot, MailChimp, SharpSpring.
- Accounting and Financials: QuickBooks, Stripe.
Destinations:
- Spreadsheets: Google Sheets, Microsoft Excel.
- Visualization: Looker Studio.
- Data Warehousing: BigQuery, MySQL.
- Custom Tools: FTP Server, API.
Power My Analytics pros
Great granularity: allows free combination of all metrics and dimensions within integrations, and enables merging of multiple accounts into a single connection. This is especially useful for brands with multiple ad accounts.
easy to use: recognized by its customers as very easy to use, especially to power users tha compare with other connectors. Besides pricing, ease of use is one of the most common feedback given by users around PMA.
“The Google Sheet add-on is excellent. It is easy to use and flexible, and data can be aggregated and filtered.”
Automatic storage: PMA backfills data into a cloud data storage for fast, reliable integrations without needing additional warehouse setup. Its data storage also provides access to historical raw data from fields not retrieved by APIs.
Great customer support: good, fast support, complete documentation, and the possiblity to schedule free onboarding sessions. For most of its paid plans, it offers free email, chat, and phone support.
“The free onboarding sessions are also great. We could conduct product demos, seek setup assistance and ask other relevant questions.”
Power My Analytics cons
Delayed syncing and bugs: data sync can take up to 12 hours, impacting daily monitoring. Reported bugs with Shopify, Taboola, and Google Sheets integrations.
Don’t fall for the cheap pricing. The Shopify connector doesn’t work that well.
No built-in data transformation: users need to send the raw data to a destination in order to blend, clean, or calculate custom fields.
Complex for first-time users: first-timeusers may find it challenging to understand the possible metric/dimension combinations, limitations, and how to effectively use particular tools like Google Looker Studio (formerly Google Data Studio).
“Sometimes we are having some struggles to understand few technical stuffs of how to create particular chart and can get help with that.”
Dataslayer
Dataslayer is an affordable ETL tool built PPC marketers. It has garnered impressive overall satisfaction scores (4.8/5 on G2). While offering marketing data integrations, its API query manager and BigQuery integrations also serve developers’ needs.
Dataslayer pricing
Usage-based pricing model per data destination, which can lead to unpredictable costs. For example, Looker Studio starts at $35/month while BigQuery is $355/month and up. Free plan with 15 daily API calls. Pricing depends on number of accounts/connectors and API call limits.
Dataslayer integrations
45+ data sources for data reporting, including:
Ads: Google Ads, Facebook Ads, Instagram Ads, Bing Ads, Criteo, Apple Search Ads, LinkedIn Ads, Pinterest Ads, TikTok Ads, Snapchat Ads, Google Campaign Manager (DCM), Google Display & Video 360 (DV360), Google Search Ads (SA360).
Social Media: Facebook Insights, Instagram Insights, YouTube.
Web Analytics: Google Analytics, Google Analytics 4, Google Search Console.
Database Integration: MariaDB, MySQL, PostgreSQL, Microsoft SQL Server, MongoDB.
Destinations:
Data visualization: Google Sheets, Looker Studio, Power BI, API Query Manager.
Data warehousing: Google BigQuery, Amazon S3, Amazon RedShift.
Dataslayer pros
Easy authorization: Dataslayer offers authorization links that enable marketers to access client data without requiring client logins on Dataslayer. This eases permissions management for large agencies.
“It is easy to use, has all of the functionality needed for all key ad platforms such as facebook and google, and is a fraction of the cost of Supermetrics. You can get started in just a few minutes- very easy implementation. I use it daily!”
Best-in-class customer support: Dataslayer scores the highest in G2 among competitors for their personalized customer support, offering 24/5 support.
“From moment zero, I want to say that the attention is impeccable…the personalized attention is another level, super attentive to you and with the attention to specific doubts it is phenomenal…”
More affordable than leading providers : transparent and affordable pricing for data integration, with usage-based plans not limited by connected accounts. Prices are displayed on their website, even for data warehouse destinations. It comes A free plan with 15 daily API calls is available, not really useful for data analysts working with multiple marketing platforms and data sources.
It is priced very reasonably and a lot less than the other data connector we were using previously, but much more user friendly.
Sharon H., Small-Business, Aug 17, 2023, G2
Dataslayer cons
Slow and buggy at times: Reports can be slow and prone to crashing due to API-first approach directly pulling data, rather than using a data warehouse.
“At times, the integration with Google Chrome caused some system slowdowns which hurt productivity…”
Kathy A., Director of Brand Marketing, Small-Business, Jul 11, 2023, G2
Umpredictable pricing: based on actual usage rather than the number of connected accounts. Pricing can even surpass leading providers. A separate license and plan are required for each destination, with Google Looker Studio and Google Sheets being more affordable (starting at $35/mo and $40/mo respectively) compared to BigQuery (starting at $355/mo).
The API calls limit, I still don’t know which plan suits my agency needs the best, cause some days I use 300 API calls some days its 2000.
Fadoua H., Mid-Market, Oct 11, 2023
Slow reporting: Dataslayer brings data directly from the APIs from Facebook, Google, Shopify, and other tools; reports can often be slow or present downtimes. Other providers offer built-in storage to gurantee speed and stability of data.
“- Not their fault, but each API call still depends on how fast the platform from which the data is being pulled from is. Hopefully, one day, they will implement a localized storage of the data from which the connectors would actually pull the data from. This will increase the price though so we’ll see…..”
AgencyAnalytics
Agency Analytics is a reporting and dashboarding tool for marketing agencies, offering unique features like SEO monitoring and client-staff communication management.
It’s a good starting point for non-technical agency marketers transitioning from manual reporting, despite potential limitations in flexibility and features compared to data connectors or ETL solutions. Agency Analytics remains superior in ease of use to BI tools like Google Looker Studio.
AgencyAnalytics pricing
AgencyAnalytics pricing is based on “client campaigns” which are combinations of connected accounts like websites and ad platforms per client.
Plans:
Freelancer: Starts at $60/month for minimum 5 client campaigns at $12 each
Agency: Starts at $180/month for minimum 10 client campaigns at $18 each
Enterprise: Starts around $900/month for minimum 50 client campaigns
Advanced features like white-labeling, custom metrics/dashboards, and agency management tools are included in higher-tier Agency and Enterprise plans.
AgencyAnalytics integrations
80+ data sources for agencies, including:
- Ads: Meta Ads, Bing Ads, LinkedIn Ads, AdRoll, Taboola.
- Social Media: Facebook Insights, Instagram Insights, LinkedIn Pages, YouTube Analytics.
- Web Analytics: Google Analytics, Google Analytics 4, Google Search Console.
- SEO: Moz, Ahrefs, Google My Business, Rank Tracker.
- CRM and Email Marketing: Salesforce, HubSpot, Mailchimp.
- E-commerce: Shopify, WooCommerce, Amazon Seller Central.
- Call Tracking: CallRail, CallSource.
AgencyAnalytics pros
Easier than Looker Studio: very easy to use compared to tools like Looker Studio. The agency-tailored platform simplifies connecting data sources like Facebook Ads and GA4, enabling quick reports with features like filters, date ranges, and design customization – covering essential marketing agency reporting needs.
Simple data transformation: like filtering by common dimensions, creating custom metrics, and data blending. Also enables adding agency markup and goals to ad reports.
Built-in storage: offers built-in storage for connected data, with a predefined scope of fields. This results in fast reports and quick availability of historical data.
Simple pricing: based on number of ‘client campaigns’, which are combinations of connected accounts per client. Multiple channels can be linked without extra cost, but each additional account counts as a new campaign.
AgencyAnalytics cons
Limited data granularity and flexibility: cannot combine dimensions like campaign, device, and demographics into single queries. Lacks granular fields for campaign creation date, status, budgets etc., though covered dimensions suffice for client reporting. other analysis requires additional data source connectors or ETL solutions to pull data.
“Several tools, such as Mailchimp, have major limitations regarding the customizability of granular data with specific dates. Some fields occasionally pull in inaccurate info, so we must double-check the data.
Small-Business, May 09, 2023
Limited data transformation: lacks flexibility and customization in reports and data. It doesn’t allow cleaning, tagging, or grouping data with custom dimensions, unlike Looker Studio, Sheets with REGEX, or Funnel. AgencyAnalytics also offers fewer fields for specific queries or analyses compared to ETL and data connectors.
…nice to have easier options to segment data, such as if an SEO agency is working on improving subdirectory pages under sitename.com/subdirectory/sublevel2/, then using Regex or another method would only sort and display any pages under that subdirectory.”
Brian G., Founder, Small-Business, Aug 16, 2023
Costs scale fast: charges per “client campaign” combination of connected accounts, unlike per account pricing. For agencies managing multiple clients with fragmented data across numerous accounts, costs escalate quickly.Features like whitelabeling, custom metrics, goals, and unlimited dashboards are only available on the $180/mo Agencies plan.
Single account limitation: Unlike ETL tools, AgencyAnalytics connects only one account per integration for each client report, hindering agencies from combining data from multiple ad accounts or monitoring overall client performance in a single view. This makes AgencyAnalytics better suited for client presentations than performance monitoring for account managers.
“One thing they need to improve perhaps is the ability to pull data from two different accounts of the same platform. If we have two separate Google Accounts it would be nice to integrate them both from different companies.”
Juan J., Mid-Market, Oct 02, 2023, G2
Polar Analytics
Polar Analytics is a no-code analytics and data integration platform for e-commerce Shopify brands with $2+ million annual revenue.
All-in-one approach with custom dashboards, visualizations, integrations, conversion/attribution script, AI chat analysis, alerts, data transformation.
Automatically aggregates and combines channels to calculate CAC, LTV, retention, contribution margins, profits. Drawbacks: plans start $300/mo, not fully self-service, requires setup call.
Polar Analytics pricing
Pricing is based on total tracked orders, starting at $300/month for 2,000 orders. Price per tracked order decreases with higher volumes, down to $0.04/order for over 50,000 orders per month. Enterprise plan pricing for companies over $20M GMV.
Polar Analytics integrations
45+ data sources for e-commerce, including:
- Sales: Shopify, Recharge, Amazon Seller Central
- Analytics & Attribution: GA4, Google Search Console, Fairing
- Ads: Google Ads, Meta Ads, TikTok Ads, Pinterest Ads, Snapchat Ads, Bing Ads, Criteo, Amazon Ads, Campaign Manager 360, Display & Video 360, AdRoll, LinkedIn Ads, Awin, Spotify Ads, Apple Search Ads, Twitter Ads, Yahoo DSP, StackAdapt, Taboola, UpPromote, The Trade Desk, Outbrain
- Email & SMS: Klaviyo, Attentive, Yotpo, Postscript, Omnisend, Campaign Monitor, ActiveCampaign, Grin, Mailchimp, Customer.io, YouTube Analytics.
- Other: Google Sheets, ShipStation, Shiphero, Loop
Polar Analytics pros
Polar pixel: offers a script for conversion measurement, attribution, and reverse ETL to enrich conversion data on ad platforms, a feature that most reporting and ETL tools have.
Ask Polar: natural language chat interface to query complex e-commerce store metrics,
Almost perfect customer support: Polar Analytics stands out for its 114 reviews on Shopify and 5 reviews on G2 to date are perfect, especially highlighting their incredible customer support, something unseen in all the other reporting tools we review at Porter.
“But what really sets it apart is the exceptional support and onboarding team. They go above and beyond to help you make the most of the app and accommodate any business needs.”
Water and Wines, Sweden, Shopify marketplace
Polar Analytics cons
Incomplete metrics and documentation: PolarAnalytics lacks some specific analyses and metrics eventually needed by marketing teams and agencies, such as outbound clicks for Facebook Ads. ETL and data source connectors better serve this granular flexibility. Unclear documentation on available fields causes confusion over missing metrics. Experts caution that custom reporting tools “are great until they’re not.”
Slow, delayed data retrieval: PolarAnalytics runs daily backfills by default, useful for weekly, monthly performance monitoring, but unfeasible for day-to-day operational or real-time analytics like ad pacing or special dates like Black Friday. Some users report occasional “slow” load times in reviews on G2 and Shopify.
“Slow to load sometimes between views and reports”
Carlo M. Small-Business
