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Maximize your LTV - ask key questions, get AI-driven insights.
Peel upgrades your analytics with a full suite of automated DTC metrics. The platform’s AI feature - called Magic Dash - allows you to ask your most critical data questions and automatically builds dashboards with visuals and insights that explain themselves. No more hunting down and cleaning data; in an instant, you can view your LTV, AOV, measure ROI and get Cohort Analysis to ensure that you have all the retention data you need to win more repeat purchases.
- Daily Insights - get reports via Slack/Email + build Custom Dashboards.
- Cohort Analysis - see Retention & Revenue trends for monthly acquisition groups.
- Product Analytics - Market Basket Analysis, Purchasing Journey & top rankings.
- Subscription Analysis - get analytics on your subscriber and subscription data.
- Audiences & RFM analysis - build hyper-targeted filtered customer segments
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Talen
Engels
Deze app is niet vertaald in het Nederlands
Werkt met
Recharge, Klaviyo, Google Analytics, Skio, AwtomicCategorieën
Klantgedrag
Marketing en verkopen
Beeldmateriaal en rapporten
Prijs
Free to Install
Gratis
- * MagicDash AI-generated dashboard
- * RFM and Audiences
- * Automated insights
- * Daily Slack notifications
- * 100s of metrics
Essentials
$499 /maand
of $5,389/jaar en bespaar 10%
- The most advanced retention analytics for successful teams looking for self-service no-code analyses
Gratis proefperiode van 7 dagen
Accelerate
$899 /maand
of $9,709/jaar en bespaar 10%
- Everything in Essentials + Google Sheets and OneDrive connectors to bring Peel data analytics into your flow without interruptions
Gratis proefperiode van 7 dagen
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Alle betalingen worden in USD gefactureerd. Terugkerende en op gebruik gebaseerde kosten worden om de 30 dagen gefactureerd. Alle prijsopties
Recensies (35)
- 100% recensies zijn 5 sterren
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0% recensies zijn 4 sterren
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0% recensies zijn 3 sterren
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0% recensies zijn 2 sterren
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0% recensies zijn 1 sterren
I’ve been using Peel for a few months now, and I absolutely love it! It’s made creating recaps so much easier. Huge shoutout to Rana Waleed Arfan from the Peel team for going above and beyond—he built an entire custom dashboard tailored to my needs, making it easier than ever to recap data and spot trends. Truly a game-changer!
They gone through some turnover but the team at Peel now is great. They're very responsive and quick to help with any needs that I may have.
I have loved working in Peel for our customer retention and insights projects. Their reporting capabilities are so robust that the ability to customize your search seems unlimited. My favorite features are the custom dashboards and audience building. Kateryna has gone above and beyond to make sure we had a great experience with the tools, and I have already recommended Peel to a number of friends who are struggling with getting a holistic view of their sales data.
We've been using Peel for several weeks now, and I love it! We share the insights to a shared Slack channel and it gives us insight into our sales, which sparks a lot of interesting conversations. Great tool!
UPDATE: I wrote my original review in December of 2019 and Peel's suite of analytics has evolved over the years. I have a dedicated Slack channel to get daily updates from Peel, and I invite our team to see how we're doing from a metrics perspective, using Peel's great analytics. They have continued to improve their reporting and service, as well as their integrations and visualizations. I strongly recommend it for any growing Shopify store!
Peel Analytics is incredibly easy to use and delivers tons of value for the cost. Their automated reporting in Slack proactively surfaces insights in a place where our team already spends a lot of time and what's more, they're constantly iterating and improving the product. Businesses large and small can benefit from using Peel as it makes slicing and dicing your Shopify and business data dead simple.
Ondersteuning
Peel kan al je vragen beantwoorden over Peel: Retention Analytics.
Hulpbronnen
Deze ontwikkelaar biedt geen directe ondersteuning in het Nederlands.
Geïntroduceerd
8 oktober 2019 · Wijzigingenlogboek