to identify their ICP (Ideal Customer Profile), optimize lead and opportunity
scoring, sharpen business development, improve web and social media
channels, reduce customer churn, improve upsell, and much more.
Do More with Less
Marketers are being challenged to do more with less as businesses reallocate resources to adapt to changing consumer preferences and disrupted marketing channels. To be successful digital offers and messaging must be highly personalized based on shifting customer patterns, lifetime value, and a host of other data points.
High-Impact Use Cases in Marketing
Lead
Scoring
Customer
Churn Reduction
Upsell
Lead Scoring
With buying patterns in flux, you need to better identify and prioritize opportunities and territories that are most likely to convert. Aible enables marketers to score qualifying leads with characteristics that are similar to your ICPs and prioritize top of the funnel targets across roles, industries, functions, and other factors.
Customer Churn Reduction
Retaining high-value customers is more important than ever as the cost of acquiring new customers continues to rise and in-person events are slow to return. Aible helps organizations significantly reduce churn by proactively Identifying at-risk customers based on recent behaviors and automatically sending messaging and promotional offers at the right moment and through the right channel.
Upsell
Marketers are being challenged to drive more value from existing customers. Aible helps organizations improve upsell efforts by identifying the specific drivers that make it more or less likely for a customer to move to a higher value and personalizing offers to specific customers based on preferences, lifetime value, RFM (recency, frequency, monetary value) scores, and other factors.
Power Moves for Every Marketer
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CMOs
Aible helps CMOs and marketing leaders optimize spend by quickly identifying their Ideal Customer Profile and target customers with highly personalized offers through the right channels.
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Demand Gen Teams
Aible helps predict the likelihood a customer will engage with a particular channel or campaign and identifies which campaigns and channels to double down on and which to pause.
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Business Developers
Aible helps inside sales or biz dev teams maximize overall profit across acquisition, renewal, and upsell and prioritize leads across different product lines and sales groups.
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Customers
Aible helps significantly lower customer churn by identifying at-risk customers based on recent behaviors and automatically sending them personalized messages at the right moment and channel.
Marketing Optimization in Action
Read the case study to see how Aible helped Lengow identify customers with 50X value with AI.
Create Impact Across Marketing
Marketers face significant challenges as businesses adjust to shifting consumer buying patterns and disrupted marketing channels. CMOs and marketing leaders are already applying AI to optimize every aspect of their marketing efforts, from lead discovery and upsell to social media optimization and customer churn reduction. Here’s how Aible can help with your critical marketing use cases:
High Impact Use Cases Across Industries
Telecommunications
Retail
Higher Education
Healthcare
Banking
Insurance
Government
High Value Use Cases for Telecommunications
The telco industry continues to experience rapid change as consumer behavior shifts towards telecommuting, and the 5G rollout promises to open new opportunities. Aible helps telco companies reduce customer churn by targeting customers with the right tactics to maximize lifetime value at the lowest possible cost, while also optimizing leads across different product lines and sales groups. Aible also helps call centers increase customer satisfaction by proactively routing calls to the best available service group based on lifetime value and the complexity of the service call.
High Value Use Cases for Retail
The retail industry continues to be under tremendous pressure from online competitors and a more demanding consumer base. Aible helps leading retail organizations optimize and personalize promotions to maximize cross-sell and up-sell opportunities, monitor and take action against inventory loss from fraud and employee error, decide when to expedite inventory to match demand spikes, and reduce avoidable returns. Aible also helps retail stores optimize inventory, logistics and staffing, and make better data-driven decisions that take into account the long-term value of customers and how to prioritize them.
High Value AI Use Cases for Higher Education
Artificial intelligence is rapidly being adopted by Higher Education to improve student and faculty outcomes and optimize institutional initiatives. Aible helps higher education institutions anticipate enrollment trends, optimize recruitment efforts, elevate academic performance, improve alumni donor outreach prioritization and more. With Aible, institutions can create segmented retention strategies for different sets of students and target them with highly personalized messages to retain them.
High Value AI Use Cases for Healthcare
The healthcare industry faces increased pressure to leverage technology to deliver better patient outcomes at lower costs. Aible helps leading healthcare organizations increase the quality of care, improve operational efficiency, and reduce fraud, resulting in increased revenue, reduced cost, mitigated risk, and better health outcomes. Aible enables providers to predict in advance patients likely to miss appointments and proactively contact them to improve healthcare and reduce clinician downtime as well as determine which members are likely to churn in order to target them with the optimal tactics.
High Value AI Use Cases for Banking
Banking leaders are already applying AI to win new business, evaluate creditworthiness, and reduce fraud, resulting in increased revenue, reduced cost, and mitigated risk. Aible helps banks reduce customer churn by gauging the risk of losing high-value customers and optimize sales by predicting the likelihood of a customer purchasing a given product, while optimizing the sales team’s resources. Aible also mitigates credit risk by identifying high-risk applicants to avoid unnecessary debt collection.
High Value AI Use Cases for Insurance
Leading insurance companies are already applying AI to predict how customer needs are evolving, improve claim management, and reduce fraud, resulting in increased revenue, reduced cost, and mitigated risk. Aible helps insurers optimize leads across different product lines and sales groups to maximize profits and determine which policies are likely to churn in order to increase retention. Aible also improves fraud detection by predicting which claims are likely to be fraudulent to optimize claim investigation resources and quickly process valid claims.
High Value AI Use Cases for Government
Governmental agencies are increasingly being asked to do more with less. The recovery from COVID places new demands, even as budgets tighten. Aible helps governmental agencies improve employee recruitment by identifying top candidates to pursue based on past outcomes and optimize employee retention by identifying employees at the greatest risk of churning in order to take early action. Aible also improves child and domestic welfare by identifying cases that are likely to require early intervention and mitigates unemployment fraud by proactively flagging fraudulent claim submissions.
Resources
3 High-Impact AI Use Cases for Higher Education
Higher Education Is Facing Unprecedented Challenges. In the last decade, the US has seen an enrollment decline rate of over 2 million students. Now in the wake of Covid, institutions are faced with a fresh set of problems around student enrollment, student and faculty retention, donor engagement, marketing spend optimization and more.
Today’s AI isn’t prepared for the messiness of reality
Most AI practitioners are training their models in sterile environments using cleaned data. But future, real-world data will always be imperfect.
Strategy-First: The Key to AI Success
Businesses often unwittingly deploy a set of tactics with their AI that’s in conflict with their overall strategic objectives.