Are you ready to take your sales
to the next level?

Increase sales by creating deep data segmentation about the needs of your customers and offering them products and services that meet their needs.

Are you ready
to take your
sales to the
next level?

Increase sales by creating deep data segmentation about the needs of your customers and offering them products and services that meet their needs.

The platform that increases the loyalty of your customers

Increase sales providing an exceptional customer experience

Selecta enables the development and improvement of customer relationships by personalizing and customizing products and services specific to their individual needs. A company that responds in real-time to the needs of its customers and offers the right products and services on the their preferred channel, will become their first choice, increase customer retention rates, attract new customers and advance as a market leader in the digital future.

Customers always have at their disposal the information they need at that moment
They can track the status of their orders at any time
In case of dissatisfaction with the product, complaints can be filled out online
When they order a product, customers get a survey about the shopping experience
Measuring customer satisfaction is constantly improving the buying process

Increase sales providing an exceptional customer experience

Customers always have at their disposal the information they need at that moment
They can track the status of their orders at any time
In case of dissatisfaction with the product, complaints can be filled out online
When they order a product, customers get a survey about the shopping experience
Measuring customer satisfaction is constantly improving the buying process

Challenges that our platform solves

Communication with customers

Can’t handle all incoming calls?

Achieve effective communication with customers and be available 24/7!

Process automation

Are your campaigns ineffective and you are failing to track user complaints?

Automate campaigns, sales processes and task assignments and clearly track performance, resolving your users’ complaints in a simpler way!

Usage of data

Don’t have complete and consolidated information about your customers?

Meet the customers, use the data and offer the right product at the right time!

Be one step ahead of your customers

Recommendation systems are an important part of online stores. By combining customer searches, product link data, and similar customer searches, referral systems provide customers with new review options according to their preferences. A step further are machine learning models for the same purpose.

The Next Best Offer model calculates the tendency of users to purchase or use the company’s products. This predictive model makes decisions based on the customer’s previous behaviour toward the company. The reliability of the NBO model in recognizing customers who would use/buy the company’s products reaches 85%.

Be one step ahead of your customers

360° overview of your customers

Selecta enables 360 customer view based on data collected through the loyalty program from various sources. Those data are previous purchases, segment (e.g. brand…), purchase history, active complaints, customer satisfaction, previous communications (outgoing, incoming calls, email), Next Best Action, etc. Nevertheless, Selecta enables the 360 customer view on points of sale, so the seller based on the loyalty program, at the point of sale has an overview of the customer and can offer him certain benefits depending on the customer’s status.

How many times you have received an information regarding coupons or discount, but after you left the store? With Selecta based on loyalty program, sellers can offer products at the selling point.

How to improve customer relationship?

The Selecta platform modules follow every step of the Customer Journey and increase the satisfaction of your customers

How to improve customer relationship?

The Selecta platform modules follow every step of the Customer Journey and increase the satisfaction of your customers

Win customers over by revealing hidden needs and building deeper connections

The machine learning model for advanced customer segmentation takes into account different purchasing parameters and customer demographics. The model enables the company to better understand its customers and creates appropriate personalized offers and campaigns following the obtained segments. In this way, each customer is described by an appropriate set of tags according to their previous behavior towards the company (purchased products, communication channels, shopping channels …).

SPORT

PRODUCT
CATEGORY

PRODUCT TYPE

PURCHASES ON SALE

COMPLAINTS AND RECLAMATIONS

PRODUCT POPULARITY

PRODUCT BRAND

PRODUCT ADVANCE LEVEL

OBJECT LOCATION

Predict your customer’s behavior

Customer segmentation allows not only a better understanding of customer habits, but also tracking customer movements through segments. By tracking movements, the company can track satisfaction, ie. customer dissatisfaction and reacts accordingly.

For each company, it is possible to define a prediction model for customers who tend to move to an inactive segment or cease to be customers. If it were a transition to an inactive segment of customers, this model would anticipate these cases for each customer for a certain period, and the company would get the probability of transition of that customer to an inactive segment for each customer and could take measures to prevent it.

Find out what value your customers bring you

The Customer Lifetime Value model predicts the value that a customer will bring to a company over a period of one year. In accordance with the results of the model, the company can:

Analyze the trend of customer profitability
Distinguishes segments of customers who have high/low CLV or with whom it rises/falls
Analyze the behavior of profitable customers and the channels they use, so that in the future investments are made in their increase
Estimate whether to invest in customer retention according to the value it brings to the company

Develop a rewarding system for your customers

CUSTOMER ACTIVATION THROUGH PERSONALIZED OFFERS

KNOWLEDGE OF CUSTOMER

IMPACT ON USER GROWTH WITHIN THE SEGMENT, THEN TRANSITION TO A BETTER

The reward model uses the model results for the next best offer, customer segmentation, customer lifetime value and uses them to personalize the rewards sent to customers.

For example, If we have Customer 1- premium user, and his CLV is 600e, and the model shows that the Next best offer for him is Addidas training equipment, the best reward for this customer should be a voucher for the purchase of Adidas equipment x value.

On the other hand, if we have Customer 2- active user, and his CLV is 150e, and the model shows that the Next best offer for him is Adidas training equipment, the best reward for this customer should be a voucher for the purchase of Adidas training sneakers or voucher for the purchase of Adidas equipment y value.

If the customer has great potential to move to a higher segment, like our premium user, he will receive a higher reward that will stimulate him to move to a higher level.

Feedback Management

Every action of customers (hopping, reclamation) starts mini survey which is defined by employees and depends on customer’s answers and his/her satisfaction, next actions are implemented. Answer of customer is feedback that requires actions.

Feedback Management

What our clients
say about Selecta

“Selecta allowed us to get to know the customer better and reduce it significantly the time it takes to serve customers who call or come to the branch. Also, setting sales goals is transparent and has a positive impact on employee motivation. Besides the sales process automation, Selecta has enabled us to automate campaign management, in addition to precise metrics and coverage of all channels on which the client appears. Not only that now we know our clients better, we can already send them the right one offer at the right time on their preferred channel.”

Petar Blagojević,
Managing director, Filip Travel