Customer acquisition gets a lot of attention. But if you’re not thinking about how to grow revenue after the first install, you’re likely missing out on possible revenue.
The good news? You already have the two things you need to drive meaningful growth:
A support team that talks to customers every day
Data that shows you how those customers actually use your services
With just a little help from AI, you can connect those dots more effectively. This turns usage patterns and real-time interactions into personalized, relevant upsell opportunities. That means higher ARPU and better retention, without coming across as overly salesy.
Here’s how broadband providers are putting it into practice.
AI can analyze customer usage patterns, like data caps being hit, long session times, or repeated support calls, and help surface plan upgrade suggestions at the right time.
For example, if a customer routinely maxes out their monthly usage, AI can flag that in your system. The next time that customer calls support or logs into their account, the rep (or your portal) can suggest an upgrade to unlimited data.
This works because you're solving a real issue with a better-fit plan. It’s not about pushing, it’s about helping.
There’s a difference between recommending something and recommending the right thing.
A generic offer for “Premium Wi-Fi” may get ignored. But if your system sees that a customer has multiple connected devices and frequent tech support calls, AI can suggest a mesh system or managed router instead.
Your agents don’t have to guess. AI gives them the context, and they focus on the conversation.
Support reps have one of the most trusted voices in your business. When they suggest a service or upgrade, customers listen. But expecting your team to remember every plan detail, customer history, and possible upsell option? That’s a tall order.
AI tools can assist in real time by showing agents:
Whether the customer is overusing or underutilizing their current plan
Which upgrades have worked well for similar customers
What type of offer is most likely to convert
This allows reps to guide the conversation more effectively and turn a basic support interaction into a retention win.
Not every customer wants to talk to someone. Many prefer to explore on their own, especially when it comes to changing plans or adding services.
With AI running in the background, your self-service portal can:
Proactively suggest speed upgrades
Recommend add-ons based on usage or ticket history
Offer seasonal or location-specific promotions
These recommendations feel helpful rather than intrusive and allow customers to make upgrades without friction.
Timing is everything. Instead of sending the same generic offer to every customer, AI can determine the most relevant next step based on real behavior.
Let’s say a customer just added a second streaming service and hit their bandwidth cap. That could trigger:
An in-app message suggesting a faster plan
A chatbot pop-up offering a discounted router upgrade
A follow-up email with a custom bundle
These touchpoints feel personal because they’re based on actual customer needs and behaviors.
Marketing teams can also use AI to move beyond broad campaigns. With behavior-based segmentation, you can focus outreach on customers most likely to buy.
For example:
Remote workers ready for upload speed upgrades
Gamers who would benefit from lower latency or faster routers
Families open to Wi-Fi add-ons or parental controls
With more precise segmentation, your messaging becomes sharper and more effective.
You don’t need a data science team to start using AI effectively. Many ISPs are already sitting on the data and tools they need. The key is knowing where to start and how to scale from there.
Here’s what that can look like.
Start by reviewing what customer data you already collect:
Usage trends
Support interactions
Plan or billing history
AI uses this data to find patterns and suggest improvements. The more accurate and accessible your data is, the better your outcomes will be.
Pick one high-impact area to focus on first:
Upgrades for users who regularly hit data limits
Recommending mesh Wi-Fi for customers with frequent tech issues
Offering a speed boost after multiple support calls about performance
These early wins can build confidence and momentum.
You don’t need to build anything from scratch. There are tools designed specifically for ISPs that can plug into your existing systems.
Consider exploring:
Zendesk AI or Intercom for in-chat suggestions
Actifai for plan recommendations based on customer profiles
Zingly.ai for churn and upsell predictions
Sonar Software for operational automation and customer data integration
Start with one tool that matches your top use case and go from there.
Support reps don’t need to be AI experts. But they should understand why a particular recommendation appears and how to present it naturally.
Provide talking points, real-world examples, and a clear playbook. Focus on service, not sales tactics.
AI doesn’t guarantee results right out of the box. Monitor how your changes perform and be ready to make adjustments.
Track metrics like:
Plan upgrade rates
ARPU by customer segment
Churn before and after implementation
Agent adoption and conversion rates
Even small improvements can add up across your customer base.
Upselling works best when it feels like service, not sales. With AI, you can offer customers what they genuinely need, at the right time, in the right way.
Your team becomes more confident. Your offers become more relevant. And your revenue grows in a way that builds long-term loyalty.
If you're ready to turn everyday conversations into growth opportunities, now is the time to start.