Modern customers demand to be known, understood, and assisted by retail enterprises in real time – and their rising expectations require a new approach to engagement.
Omnichannel Customer Experiences at Scale
The effect of ever-present digital connections to brands has altered the way that today’s customers interact with retailers. Not only does each customer want to be engaged in a 1:1 level with relevant notifications, offers, and assistance from their favorite retail stores and websites, but they also want retailers to initiate such engagement—in real-time, on the right channel, based on their evolving in-the-moment needs and interests.
Unleash Intelligent Customer Interactions
in Your Retail Environment
The ZineOne Intelligent Customer Engagement platform’s next-gen retail applications empower enterprises to increase customer loyalty, sales, and value at scale in today’s hyper-personalized shopping environment.
Cross-Channel Engagement
Predictive Engagement
Contextual Engagement
Increased Store Traffic
Micro-targeting Within Stores
Loyalty & Cart Reminders
Real-Time Assistance
Cross-Channel Engagement
Trigger continuous engagement based on real-time customer activity on any channel your customer is using — website, mobile app, in-store, email, chatbot, and more. Extending a single customer journey seamlessly across interfaces, increasing the likelihood of a successful transaction.
Predictive Engagement
Give your customers exactly what they are looking for before they even realize they are looking for it! Leverage continuous analysis of customer’s current activity and historical purchase data to predict what the customer will need, want, or do next. Will they make a purchase? Will they bounce? Based on the prediction, show your customer information that is meaningful and relevant to them.
Contextual Engagement
Relate to the customer’s real-time context. Make sure your in-the-moment interactions take the customer’s historical patterns of engagement and external factors into consideration—such as the customer’s current location, weather, or time—in order to engage with them in the most appealing and contextual way possible.
Increased Store Traffic
Incentivize users to visit your store when they are in the vicinity with location-based notifications, personalized to each user’s likes and dislikes. Remind them of relevant or related items at the time of in-store pickup. Or nudge them to hop over to the store with timely offers that are redeemable in-store only.
Micro-targeting Within Stores
Add value to the customer in-store journey by providing them with relevant personalized updates as they move through various departments
Loyalty & Cart Reminders
Keep customers informed about their reward points as they shop. Provide activity-based reminders when a customer browses products online or enters a store. Remind users of cart items across sessions, channels, or when they enter the store, specifically if there is any price reduction, new inventory choices, end of the sale, etc.
Real-Time Assistance
Personalized assistance in-the-moment ensures a great experience while also boosting shopper satisfaction. For retail customers, this assistance might take the form of eliminating confusion around products, pricing, or shipping. Offer relevant product suggestions (“You may be interested in…”), social proof (“30 others have purchased this item today!”), or real-time shipping calculations (“Spend $10 more and save 5% on shipping”).
Unleash Intelligent Customer Interactions
in Your Retail Environment
The ZineOne Intelligent Customer Engagement platform’s next-gen retail applications empower enterprises to increase customer loyalty, sales, and value at scale in today’s hyper-personalized shopping environment.
Cross-Channel Engagement
Trigger continuous engagement based on real-time customer activity on any channel your customer is using — website, mobile app, in-store, email, chatbot, and more. Extending a single customer journey seamlessly across interfaces, increasing the likelihood of a successful transaction.
Predictive Engagement
Give your customers exactly what they are looking for before they even realize they are looking for it! Leverage continuous analysis of customer’s current activity and historical purchase data to predict what the customer will need, want, or do next. Will they make a purchase? Will they bounce? Based on the prediction, show your customer information that is meaningful and relevant to them.
Contextual Engagement
Relate to the customer’s real-time context. Make sure your in-the-moment interactions take the customer’s historical patterns of engagement and external factors into consideration—such as the customer’s current location, weather, or time—in order to engage with them in the most appealing and contextual way possible.
Increased Store Traffic
Incentivize users to visit your store when they are in the vicinity with location-based notifications, personalized to each user’s likes and dislikes. Remind them of relevant or related items at the time of in-store pickup. Or nudge them to hop over to the store with timely offers that are redeemable in-store only.
Micro-targeting Within Stores
Add value to the customer in-store journey by providing them with relevant personalized updates as they move through various departments
Loyalty & Cart Reminders
Keep customers informed about their reward points as they shop. Provide activity-based reminders when a customer browses products online or enters a store. Remind users of cart items across sessions, channels, or when they enter the store, specifically if there is any price reduction, new inventory choices, end of the sale, etc.
Real-Time Assistance
Personalized assistance in-the-moment ensures a great experience while also boosting shopper satisfaction. For retail customers, this assistance might take the form of eliminating confusion around products, pricing, or shipping. Offer relevant product suggestions (“You may be interested in…”), social proof (“30 others have purchased this item today!”), or real-time shipping calculations (“Spend $10 more and save 5% on shipping”).
Built-in machine learning allows ZineOne to adapt to shoppers’ evolving interests in order to deliver increasingly effective messages that:
Guide shopper experiences
both on – and offline via cross-channel messages and in-store geofencing.
Encourage the use of loyalty points
by proactively showing customers their potential cost savings.
Assist in transaction completion
by alerting customers to item availability and price when they enter the store or website.
Increase average transaction totals
by recognizing intent and promoting related items at time of purchase.
Boost sales, both in-store and online,
with a connected customer journey that spans digital and physical environments.