Loyal — Customer Segmentation

Customer analytics, customer export, customer loyalty & RFM

Prix : Gratuit

Spécificités de l’application

  • Flux de travail fluide : utilisation directe dans l'interface administrateur Shopify

  • Vitesse testée : aucun impact sur votre boutique en ligne

Loyal app can segment your customers to six different groups

Section des valeurs clés

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.

Weekly Email & Auto-tagging

Auto-tagging the segmented users weekly to run campaigns on Klaviyo or via Shopify Email. Or download the CSV list and use it as needed.

Détails de l'application

Loyal — Customer Segmentation

Loyal — Customer Segmentation

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 customer analytics app to give you precious insights. 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 in Shopify.

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

Key Loyal features

  1. Automatically analyze your complete 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. With auto-tagging, you can simply set up campaigns on Klavyio or Shopify Email when the customers move from one segment to another
  4. Export CSV files for popular campaign and marketing platforms (Facebook, Google, Klaviyo)
  5. Read tips and recommendations on how to approach each customer segment
  6. Receive a weekly summary email summarizing the most important changes in your customer health
  7. Add quick shortcuts to your Customers page in Shopify

The six customer groups based on the RFM analysis

  1. New – First-time buyers in 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

Date de lancement

S'intègre à

  • Email
  • Klavyio
Loyal — Customer Segmentation

Loyal — Customer Segmentation

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 customer analytics app to give you precious insights. 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 in Shopify.

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

Key Loyal features

  1. Automatically analyze your complete 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. With auto-tagging, you can simply set up campaigns on Klavyio or Shopify Email when the customers move from one segment to another
  4. Export CSV files for popular campaign and marketing platforms (Facebook, Google, Klaviyo)
  5. Read tips and recommendations on how to approach each customer segment
  6. Receive a weekly summary email summarizing the most important changes in your customer health
  7. Add quick shortcuts to your Customers page in Shopify

The six customer groups based on the RFM analysis

  1. New – First-time buyers in 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

Date de lancement

S'intègre à

  • Email
  • Klavyio

Avis

5.0 étoile(s) sur 5

La note globale correspond à l'état actuel de l'application. Elle comptabilise tous les avis sur l'application, mais priorise les plus récents.

Nombre d'avis par note
  • 100 % des évaluations sont des évaluations à 5 étoiles
  • 0 % des évaluations sont des évaluations à 4 étoiles
  • 0 % des évaluations sont des évaluations à 3 étoiles
  • 0 % des évaluations sont des évaluations à 2 étoiles
  • 0 % des évaluations sont des évaluations à 1 étoiles

Liste des avis

Filtrer et trier les avis

  • Scarlet Darkness

    Emplacement R.A.S. chinoise de Hong Kong
    Temps passé à utiliser l'application 2 jours

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

  • Plum Organics NZ

    Emplacement Nouvelle-Zélande
    Temps passé à utiliser l'application Environ un mois

    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

    Emplacement Tchéquie
    Temps passé à utiliser l'application 10 jours

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

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