Loyal — RFM Customer Segments

Analyze customers | Export & run campaigns | Improve retention

가격: 무료

앱 하이라이트

  • 원활한 워크플로: Shopify 관리자에서 직접 사용할 수 있습니다

  • 속도 테스트 완료: 온라인 스토어에 전혀 영향을 미치지 않습니다

Loyal app can segment your customers to six different groups

키 값 섹션

Segment Your Customers

Analyze all your customers and put them into six different segments using the RFM method. See what's your customer lifetime value.

Get Marketing Tips

For each segment, we recommend tips and best practices for approaching it in a marketing campaign. So your retention rates will improve.

Export Segments to Other Tools

Tag the segmented users directly in Shopify or download the CSV lists for external marketing services like Google Ads, Facebook, or Klaviyo.

Loyal — RFM Customer Segments

Loyal — RFM Customer Segments

Stop running the one-size-fits-all campaigns. Run a tailored campaign for each of your customer groups. Someone who just made the first transaction in your store should see a different campaign than someone who regularly purchases.

Loyal is a valuable yet straightforward app to give you precious insights into your customers. Based on their purchase history, it will automatically split them into six segments using a so-called RFM analysis (Recency, Frequency, and Monetary).

And then show you tips on what campaigns and types of communication you should use when interacting with each customer group. You can also export the CSV of each group to import it into your email marketing tool. Or use customer tags.

Using tailormade campaigns for each customer group will improve your retention, and you will be able to monetize your existing customer base better.

Top 5 Loyal features

  1. Automatically analyze your order history and create six customer groups using an RFM analysis (i.e., how frequently and recently they bought something)
  2. Monitor important retention metrics like number of customers, customer lifetime value, orders per customer, and average order value
  3. Tag your customers based on their group
  4. CSV exports for popular campaign tools (Facebook, Google, Klaviyo)
  5. Tips and recommendations on how to approach each customer group

The six customer groups based on the RFM analysis

  1. New – First-time buyers on your store. Usually, the most significant customer segment in newer stores.
  2. About to Sleep – Customers who don't buy often and haven't made any orders recently. Usually, the most significant customer segment in active stores.
  3. Sleepers – Customers made their last purchase a long time ago and have a low number of total orders. Most likely, they are lost.
  4. Potential Loyal – Customers who bought recently and have the potential to become loyal
  5. Loyal – Your most precious customers who are returning frequently
  6. Loyal at Risk – Past loyal customers who haven't been active recently

No strings attached

We love our app, and we believe you'll love it too. That's why we're offering it for free with no limitations and full support. We plan to introduce a premium plan with more advanced features soon.

출시 날짜

Loyal — RFM Customer Segments

Loyal — RFM Customer Segments

Stop running the one-size-fits-all campaigns. Run a tailored campaign for each of your customer groups. Someone who just made the first transaction in your store should see a different campaign than someone who regularly purchases.

Loyal is a valuable yet straightforward app to give you precious insights into your customers. Based on their purchase history, it will automatically split them into six segments using a so-called RFM analysis (Recency, Frequency, and Monetary).

And then show you tips on what campaigns and types of communication you should use when interacting with each customer group. You can also export the CSV of each group to import it into your email marketing tool. Or use customer tags.

Using tailormade campaigns for each customer group will improve your retention, and you will be able to monetize your existing customer base better.

Top 5 Loyal features

  1. Automatically analyze your order history and create six customer groups using an RFM analysis (i.e., how frequently and recently they bought something)
  2. Monitor important retention metrics like number of customers, customer lifetime value, orders per customer, and average order value
  3. Tag your customers based on their group
  4. CSV exports for popular campaign tools (Facebook, Google, Klaviyo)
  5. Tips and recommendations on how to approach each customer group

The six customer groups based on the RFM analysis

  1. New – First-time buyers on your store. Usually, the most significant customer segment in newer stores.
  2. About to Sleep – Customers who don't buy often and haven't made any orders recently. Usually, the most significant customer segment in active stores.
  3. Sleepers – Customers made their last purchase a long time ago and have a low number of total orders. Most likely, they are lost.
  4. Potential Loyal – Customers who bought recently and have the potential to become loyal
  5. Loyal – Your most precious customers who are returning frequently
  6. Loyal at Risk – Past loyal customers who haven't been active recently

No strings attached

We love our app, and we believe you'll love it too. That's why we're offering it for free with no limitations and full support. We plan to introduce a premium plan with more advanced features soon.

출시 날짜

리뷰

5.0 별 5개 중

전체 평가는 앱의 현재 상태를 반영합니다. 여기에는 모든 앱 평가가 포함되지만 가장 최근의 평가에 우선순위가 있습니다.

  • 5 별 5개 중
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Scarlet Darkness

위치 홍콩(중국 특별행정구)

This app is so great,totolly free,scientific classification and targeted measures for each category of customers.recommend

Plum Organics NZ

위치 뉴질랜드

I have just started the journey into customer segmentation, so this app is looking to be the perfect no-cost entry into digital marketing support.
I'm still working through the details, but I can already give a massive shoutout to the developers for quickly adding POS data feeds to the app after requesting it less than 2 weeks ago. Impressive turnaround by Digismoothie!!!

CBDpharma.cz

Useful app for improving customer retention. App is data driven what helps you analyzing your own customers.

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