-
About N = 1 Approach
Iken Personics uses an N=1 approach where every customer is analyzed individually in real time.
Our powerful personalization engine analyzes each user individually and derives deep context from user‘s actions, taking into account user‘s demography, location, transactions, likes, dislikes and time spent on the content. We provide our clients with one customer view (N=1) which helps in increasing uptake and driving higher revenues. We know what your customers want before they realize it.
About Bottom Up Approach
We start by getting to know your customers, dig deep and monitor their dynamic behavior.
Our solution adopts a bottom-up approach where the behavior of one customer is analyzed at a time and individual learning is summarized to get group, application, functional or organizational level insights. We identify behavioral outliers, patterns, and associated contexts. Every recommendation is prompt by an accurate reflection of the customer‘s current behaviors and needs.
Next Best Action
Our proactive personalization platform uses hybrid AI technology.
We use hybrid AI along with self-learning algorithms to create a proactive personalization platform that holistically understands users‘ behavior. The self-learning algorithm improves with the number of transactions that take place. This, when combined with various filtering techniques derives the wisdom of the crowd and builds association with the content to provide highly targeted recommendations.
We provide your customers with the right offer at the right time.
Our platform determines Next Best Action for each of your customers at any point of time driven by life - event patterns, buying behavior, social media interactions, and other aspects. Our decision logic combines company‘s business rules with machine learning algorithms to enable the company to respond to the customer‘s needs during the interaction, while ensuring that the action taken also benefits the company.
-
In - app personalization:
Personalize your entire app based on the continuous learning of customer behavior in real time. It is not just about powering widgets such as “Recommendations for You” but personalizing the whole user experience of the app.
App store personalization:
There is a plethora of content available in the app store, we show the best content as per the user‘s taste, thus improving efficiency and monetizing the long tail. You can now present each of your customers with the best suited product.
Smart push notification:
Avoid sending ill-timed notifications. Understand your customers‘ behavior and push contextually correct content to them when they are in a mood to receive it. With our multi-channel platform, send outbound noti- fications smartly through SMS or apps.
Location based targeted marketing:
Personalization is far more than simply offering a welcoming experience. It focuses on customizing the users‘ experience on your website according to their tastes, preferences and interests. Iken‘s recommendation engine localize the whole user experience and enhance end-user relationships through increased engagement and opportunities by sending relevant information to your customers based on real-time location data.
-
How Iken Personics can add value to your company‘s offerings:
A short video on how Iken Personics can add value to your company's offeringsCross Pollinated Customer - centric Voice, VAS and Data personalization:
Our personalization services place the individual user at the centre of the service conception and develop - ment, and target individual customers according to their individual content needs.
Global profile of a user is created by utilizing information from different verticals like Voice, Data and VAS. Thus cross pollination of users‘ information scattered across domains helps in creating 360 degree view of the customer or User‘s Persona. For example: Based on the individual‘s needs which are captured through VAS consumption, customized data packs can be created to cater to the ever-growing data vertical in the telecom domain.
Usage & Retention:
Modern day consumers usually have short attention span and hence it‘s desirable to provide them apt content within that short period only. Iken‘s N=1 customization tailors content presentation and provide Next Best Action / Strategy to suit an individual‘s needs rather than taking the traditional “one-size-fits-all” approach, helping customers in personalized content discovery and thereby generating more cross-sell and up - sell opportunities. This helps businesses in not only generating more revenue but also in improving customer satisfaction and retention.
-
Enhanced customer experience:
Personalize your shoppers‘ experience according to the taste of the customer, taking into account every click, time spent on browsing, add-to-cart, wishlist, shortlist etc. Our recommendation engine will find out what your customers are doing on the site and who all are showing higher buying intent to provide personalized recommendations accordingly.
Intelligent notifications:
Nudge your customers at the right time to capture their attention and pitch contextually accurate content to make a significant impact on revenues and retention. Send proactive notifications to your customers, on all stages of a customer lifecycle from on-boarding, retention, engagement, to even rewarding loyalty.
-
DTH & IPTV Personalization: Show what your customers want to see:
Without the return path, serving the right channels to each family is very difficult. With our cutting edge technology & N = 1 bottom - up approach, analyze each customer directly and enhance their experience by showing them what they want. Targeting users for pack upgrades, VOD, SVOD, Catch Up or customization of À la carte packs can be done based on users‘ preferences and consumption patterns. This decreases the lead time taken for acquisition of new customers, increases the loyalty of the existing customers and the usage or consumption per customer thereby reducing churn.
Music Streaming Personalization:
Delight your customers with the discovery of songs and artists, based on their past behaviors or the streaming habits of their friends and figure out what they would listen to next on your platform, hence keeping existing users active and adding new ones. Our platform and machine learning algorithms dive into the data to understand each user‘s unique music preferences, create taste profiles and recommend them the right content.