01 · Acquisition
Newsletter database
A pop-up encouraging sign-up in exchange for a discount, plus a smooth double opt-in connected to the client's CMS - the foundation for the new store.
Case study · children's e-commerce / multi-brand
Personalization and improving the shopping experience at Mokida
For Mokida - a multi-brand children's store from the CDRL S.A. Group - Persooa built the full customer journey from scratch: a newsletter database, automations at every stage, and dynamic recommendation frames on the Synerise platform.
+30%increase in cart value
7,8%share of recommendations in revenue
from 0newsletter database built from the store's launch
6automations across the full customer journey
Client
Mokida (CDRL S.A. Group)
Area
AI personalization, Marketing Automation, Recommendations, Loyalty
Segment
B2C · e-commerce (children's multi-brand)
Technology
Synerise + Persooa
Starting point
A new store built from the ground up
Persooa supported mokida.com from day one - and a new store without an established customer base needed acquisition, conversion, and loyalty-building all at once.
A new store without an established customer base
Goal: revenue, loyalty and satisfaction - from scratch
No personalized shopping journey
Risk of abandoned carts and low conversion
Need to build relationships and retention from launch
Need to acquire subscribers quickly
Persooa's solution
A full customer journey built from scratch
We combined subscriber acquisition, automations at every stage, and dynamic recommendations - creating a complete, personalized shopping journey.
02 · Automations
Journey automations
Welcome, price drop, recently viewed and abandoned cart, post-transaction communication and anti-churn - the full customer journey.
03 · Recommendations
Dynamic recommendation frames
Content tailored to the user type on the homepage, product page and cart - for subscribers and all visitors alike.
04 · Optimization
A/B testing and UX
Frames tested with A/B, dynamic content selection, and small improvements like easy discount code copying.
Phased rollout
From customer acquisition to loyalty
1
Customer acquisition
Phase I
- Newsletter pop-up in exchange for a discount
- Double opt-in path connected to the CMS
- A smooth, well-designed sign-up process
- Start of subscriber database building
2
Journey automations
Phase II
- Welcome Automation (welcome series + survey)
- Price Drop Alerts for viewed products
- Recently viewed and abandoned cart
- Post-transaction communication and anti-churn
3
Recommendations and optimization
Phase III
- Homepage frames (bestsellers / recently viewed)
- Similar items and cross-sell on the product page
- Proposals that increase cart value
- A/B testing and dynamic content adjustment
Tactics implemented
Automations and recommendations across the full journey
A set of integrated actions that acquired customers, boosted conversion and built loyalty from the ground up.
Acquisition · pop-up
Newsletter pop-up
New visitors are immediately encouraged to sign up in exchange for a discount; double opt-in connected to the client's CMS.
discount for signing up
Onboarding · welcome
Welcome Automation
A series of welcome emails after sign-up or the first transaction: getting to know the brand, a survey and a code reminder.
series relationship building
Conversion · price drop
Price Drop Alerts
Automatic notification when the price of a recently viewed product drops - bringing the customer back.
trigger return to site
Recovery · cart
Recently viewed and cart
Reminders about viewed products and abandoned carts encourage customers to complete their purchase.
recovery fewer abandonments
Retention · anti-churn
Anti-churn and post-transaction
Reactivation of inactive customers and post-purchase emails (thank you, review request, complementary products).
reactivation higher loyalty
Recommendations · frames
Dynamic recommendation frames
Bestsellers or recently viewed on the homepage, similar items and cross-sell on the product page, proposals that increase cart value - with A/B testing.
+30% cart value
Results
Bigger cart and revenue from recommendations
+30%
increase in cart value thanks to recommendation frames, with 7,8% share of recommendations in revenue - all built on a customer base grown from the store's very launch.
Mokida personalization results
Increase in cart value+30%
Newsletter subscriber basegrowing
Engagement and conversionhigher
Share of recommendations in revenue7,8%
Pop-up and double opt-in
Subscriber acquisition for a discount, integrated with the CMS.
Welcome Automation
A welcome series with a survey and discount code reminder.
Price Drop Alerts
Notifications when the price of a viewed product drops.
Cart and recently viewed
Reminders that encourage purchase completion.
Anti-churn and post-transaction
Reactivation of inactive customers and post-sale communication.
Recommendation frames + A/B
Dynamic content on the homepage, product page and cart.
We build the full customer journey from scratch - combining acquisition, automations and recommendations into a bigger cart, higher conversion and lasting loyalty, in a Human + AI model.
- Persooa · Revenue Growth Agent
Frequently asked questions
FAQ - personalization and automation at Mokida
What results did Mokida's collaboration with Persooa bring?
Recommendation frames increased cart value by +30%, and recommendations accounted for 7,8% of revenue. Automations and subscriber acquisition built a customer base from scratch, boosting engagement, conversion and loyalty for the new store.
How were new customers and subscribers acquired?
We implemented a pop-up encouraging newsletter sign-up in exchange for a discount, followed by a smooth double opt-in path connected to the client's CMS. For a new store without an established base, this was key to launching marketing campaigns.
What automations were implemented?
Welcome Automation (a welcome series with a survey and code), Price Drop Alerts, reminders for recently viewed products and abandoned carts, post-transaction communication (thank you, review request, complementary products), and Anti-Churn Automation reactivating inactive customers.
How did the recommendation frames work?
On the homepage they dynamically showed recently viewed items for returning visitors or bestsellers for new ones; on the product page - similar items and cross-sell; and in the cart - proposals that increase its value, tailored to the customer type. The frames went through A/B testing to select the most effective variants.
What does Persooa do?
Persooa implements and activates AI in e-commerce - mainly on the Synerise platform - with a focus on a fast start and the first measurable results within 90 days. We combine strategy, data and execution in a Human + AI model: personalization, marketing automation, recommendations and AI agents that translate into revenue growth.
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