Retention
With increased competition for broadband customers and a path toward market saturation for new subscribers, retaining your existing customers has become exceedingly important. Actifai Retention helps you better compete to maintain current subscribers and capture the untapped opportunities that stop the race to the bottom.
to solve a problem, you have to know what it is
Retention starts by using an advanced discovery flow and data sourcing technology to uncover essential information on a canceling subscriber — their evolving interests, service uses, rationale for canceling, and competitive alternatives. With this context, our machine learning models compare against over a million other customer engagements, feeding our artificial intelligence with the information needed to determine an optimal save offer. This preserves the customer relationship and solves for your business metrics – whether that’s ARPU and LTV or contribution margin.
beat their best offer
Our results have proven that presenting subscribers with a single ideal save offer and dynamic offer rationale leads to better outcomes for customers and providers alike when compared with traditional customer retention strategies. To ensure you’re always leading with a highly compelling option, our AI tailors save offers to individual subscribers’ usage needs, price sensitivity, and competitive alternatives. And when the situation calls for adjustments, our simple and modern interface makes modifying the combination of services, add-ons, and discounts easy and efficient.
our intelligence, your strategy
Retention is fully configurable to each provider’s strategic goals. Focused on keeping internet customers above all else? Retention can trim away low profit video or unused phone packages to save a customer money and keep the account active. Triple-play style bundles are a top priority? Retention helps identify customers for whom bundling discounts can save a canceling subscriber, preserving and extending your service relationship. Retention’s proprietary machine learning engine — which is constantly learning from each save interaction — makes tailoring a successful save offer to business goals possible and it dynamically adjusts to make each save offer better than the last.
rich predictive data
Actifai independently sources demographic, competitive and behavioral data that is highly predictive of a customer’s interests and propensity to make a purchase.
machine learning
Machine learning models combine rich predictive data with over a million offer and outcome pairs, allowing providers’ recommended save offers to adapt with changing customer needs and preferences.
AI-powered save offers
Artificial intelligence eliminates choice overload, identifying a single recommended save offer that aligns with a customer’s needs, delivers vs competitive options, and maximizes ARPU and CLTV.
interactive pricing calculator
When modifications to the package of services, products, and promotions are needed, agents can utilize a simple calculator to add/remove items and determine pricing impacts on a save offer, in real time.
contextual selling points
Every recommended save offer is paired with customer-specific selling points based on their competitive options, usage, cancel rationale, determined interests, and more.
competitive comparisons
With Retention, agents can quickly reference a customer’s other service options to present a competitively-advantaged save offer with confidence and context.
with actifai providers are increasing ARPU by 12% on average
Get a demo of Retention, ask our executives the hard questions, and learn how our pilot is designed to make testing Actifai as frictionless and profitable as possible.