Intelligence-driven, scalable insights for onboarding, adoption, retention, and revenue growth.
Understand your customers interactions with your product and make informed product success decisions.
Bring efficiency, add scale, and connect user behavior to personalized actions.
Define and track onboarding by phase, user progress, account, and portfolios.
Identify, monitor, and execute timely account expansions with real-time reports and indicators.
Proactively identify at-risk customers and prevent churn using automation, early warning insights, and more!
Optimize product usage by monitoring in-depth user data and receiving actionable insights
Improve decision making and actions for enhanced outcomes.
Get a complete view of your customer and all their moving parts.
Create the right scoring system for your organization.
Deliver consistent customer experiences and repeatable success.
Increase your productivity real-time, automated alerts.
Create groups across accounts and users.
Drive adoption, upsell and cross-sell using extensive product data.
Reach out to groups of customers when you need to.
Create surveys to get timely feedback from your customers.
Automate your actions, alerts, surveys, and more.
Create and track tasks across teams.
Create alert rules that are flexible.
Manage, analyze, and optimize your customer interactions.
Proactively uncover key insights and receive data-driven recommendations for your team.
Transcribe your calls and catch key phrases used by customers to trigger actions.
Get status updates, warnings, and extensive reports at the right time so you can make effective decisions.
Create, monitor, and automate comprehensive Playbooks for every scenario.
We aren’t just any Customer Success platform. We have the insights, imagination, and technology that others don’t.
Our core values, team, and community
Come work with us!
Get in touch anytime.
Employee success drives customer success.
Don’t miss an episode of the Customer Success Intelligence Podcast
Our annual survey captures the current state of CS Intelligence and automation.
Resources for new and seasoned Customer Success teams.
Still undecided? We can help!
Features and SDKs you can integrate into your apps.
Resources and insights straight to your inbox.
Do you know AI can help manage customer expectations? If not, check out this blog today!
Customer experience is a cornerstone of customer loyalty. It’s the first thing you think about when you think about your company or brand name. But what about customer expectations? When customer expectations are not met, customer experience can be affected. That means the focus should not just be on customer experience but also on customer expectation management.
Artificial intelligence (AI) has made it easier for companies to manage customer expectations. AI-based solutions help in minimizing customer frustration and can effectively improve the customer experience. Customer frustration is one of the top reasons customers drop off or switch to a competitor.
AI is a technology that can be used in multiple ways to improve the management of customer expectations. AI is essentially a machine that learns and performs tasks on its own. It’s been around for decades but has only recently started impacting the business world.
AI can help businesses in many ways:
AI is fast becoming a key player in the field of logistics. It can help companies monitor real-time operations, ensuring that goods and services are delivered on time. Moreover, it can also be used to monitor supply chain activities and identify potential bottlenecks before impacting service quality.
AI-powered chatbots are now being used to create personalized experiences for customers. These chatbots can answer customer queries, manage reservations and provide customized recommendations. In addition, they can also be used to maintain communication with them at all times, which will increase customer loyalty to your brand.
With the help of AI, businesses can now understand how customers perceive their services and how their experience could be improved further. For instance, if there’s a chance that customers would feel dissatisfied with your product or service, AI can detect it early on and suggest appropriate solutions for improvement. This approach helps businesses deliver superior customer experiences without hiring more employees or spending additional money on training programs.
With the help of AI, marketers can target customers who are likely to buy their products or services. They can also target people who have bought similar products in the past but haven’t yet purchased from them. This way, they can sustain customers’ interest while they continue searching for a product that meets their requirements completely.
AI can help marketers understand the emotions behind their customers’ actions to enhance their relationship with them through personalized content or offers based on their interests, demographics, or location. For example, suppose a customer has visited your website multiple times but hasn’t converted yet. In that case, you can send them an email with special offers for that particular product category instead of generic ones for all products on your site. It will make them feel special and increase your chances of converting them into paying customers.
AI can help you learn more about your customers by analyzing their behavior patterns, preferences, and other details that can help you provide them with better service. For example, if someone regularly purchases specific items at certain times, AI can help predict when they might need something else and offer it to them before they realize they need it! This can be done through predictive analytics or machine learning algorithms that analyze large amounts of data to predict future trends and patterns in purchasing behavior.
The traditional approach to customer service is reactive — you respond to customers when they contact you. But AI can help you be proactive and anticipate your customers’ needs. It can alert you when a customer is about to cancel their subscription or complain about a product or service issue. That way, you can take appropriate action before it’s too late.
With the advancement of AI, many companies are now leveraging this technology to provide 24/7 support for their customers. AI can automate repetitive tasks and help humans focus on other complex issues.
For instance, if a customer is facing an issue with their product or service, they can contact their retailer or the company directly via email or phone. The company will receive an automated response saying that someone will get back to them within a few hours. This way, customers don’t have to wait days for a response from their support team. They also don’t have to wait on hold for hours or send multiple emails to get their queries resolved quickly and efficiently.
There is a need for a solution to help companies meet their customers’ expectations more smartly. And as businesses look to implement AI in their operations and plans, they are reminded of an important thing: there is no one-size-fits-all solution to the customer service challenge. Businesses must choose carefully how they want to deploy artificial intelligence because it has the power to be a powerful agent of change – for good or ill. But what is the best case for businesses adopting AI to manage customer expectations?
Barring a robot takeover in the near future, technology and AI will most likely help you grow your business, not replace you. In fact, customer expectation management is just the tip of the AI iceberg regarding how software and machines will help you run your day-to-day operations. Enterprise solutions ranging from customer relationship management solutions to chatbots are beginning to help many companies work more effectively and efficiently. As new solutions enter the market, they’re looking to increase speed and accuracy while reducing direct input from employees.18
Take advantage of your own customer expectations management by spending some time every week catching up on new tips or talking to other business leaders about how they’re integrating new technology into their workflow. You’ll never know what sorts of quick fixes—and long-term solutions—you might come across.
Shivani is a talented CS manager with the skillsets to elicit, scope and manage end-to-end B2B SaaS project delivery. She has a keen interest in depicting her learnings in customer success by writing resourceful blogs and articles.
Published 28 Jul 2022, Updated 4 Aug 2022
Are you aware of the difference between QBR and EBR? If not, check out...
16 Aug, 2022
What are the best strategies for leveling up your business? Let us try...
11 Aug, 2022
Here is our take on why surveys do not work as they used to before!...
08 Aug, 2022
Sign up for SmartKarrot’s newsletter.
See how SmartKarrot can help you deliverwinning customer outcomes at scale.