How Contact Centers Use Revenue AI to Convert Callers to Customers

Are your contact center agents struggling to hit conversion targets? 

This can directly affect your company's growth. BUT, you’re not alone!

The cost of inconsistent performance and high agent attrition affects your bottom line.

Managers try to fix this gap by manually reviewing calls for coaching moments.

But the reality? You are left with an unpredictable revenue stream. You also have a constant cycle of retraining agents who still miss important cues.

How Do You Solve This Issue in Contact Centers?

This is a problem that grows and requires a solution that can also grow.

You need a system that can analyze every single conversation for potential. This is to make sure no opportunity is missed.

The system should give objective and consistent intelligence to your entire team. This helps change your contact center from a cost center to one that generates predictable profit.

That is why leading contact centers are turning to Revenue AI. This technology analyzes customer conversations. It automates opportunity detection and guides agents to convert callers into loyal customers.

Using Revenue AI to Turn Every Conversation into a Conversion Opportunity

With a Revenue AI agent connected to your contact center, every call becomes a source of actionable intelligence. The AI connects directly to your call recordings and CRM. This gives it a full view of every customer interaction. It then works silently in the background. It transcribes and analyzes each conversation. 

This helps spot hidden income potential that even experienced agents might overlook. 

It automatically scores deal confidence, flags risks, and surfaces buying signals. This replaces guesswork with a plan based on data. It gives your team the insights needed to act confidently and helps turn every interaction into a potential sale.

• Identify Key Buying Signals: A caller might mention budget keywords. They might ask questions that match past successful sales pitches. The AI instantly detects these buying signals. It then flags the opportunity for the agent in real-time.
  
• Give Real-Time Agent Guidance: The AI can detect a competitor mention or a common objection. When this happens, it can show your agent the right talking points or product information. This appears on their screen to help them steer the conversation toward a sale.
  
• Automate Action Items for Follow-Up: The AI does more than find opportunities. It creates clear, actionable next steps for your team. It identifies commitments from the call. It then pulls out the action item and assigns it to the correct team member. This is for immediate follow-up, making sure nothing gets missed.

How to Deploy Thunai’s Revenue AI In Your Contact Center

Step 1: To begin, connect your data sources. Link Thunai to your contact center’s call recording platform, email accounts, and your CRM. This gives the AI a complete and holistic view of all your customer interactions. This view is the foundation for accurate intelligence.

Step 2: Go to the Revenue AI section on the Thunai Dashboard. Choose the ‘Opportunity Agent Configuration’ option. This is where you will begin to customize the AI. You can set it to fit the specific needs and goals of your contact center's sales plan.

Step 3: Define your unique opportunity parameters. This is a very important step for customization. You can input competitor names you want to track. You can add budget-related keywords that signal purchase intent. You can also include phrases from past successful pitches for the AI to benchmark against. This customizes the analysis to what is important for your business.

Step 4: Once configured, Thunai’s Revenue AI operates automatically in the background. Your agents handle calls as usual. The platform processes each conversation in real-time. It scores the call against the parameters you defined and analyzes it for potential revenue.

Step 5: Open your Thunai dashboard. You will see a prioritized list of conversion opportunities and deal intelligence. You can instantly view deal confidence scores for each caller. You can also review key moments from a conversation and see the automated action items assigned to your agents.

Step 6: Use the generated information for targeted coaching and accountability. The platform gives you objective, actionable information to review calls. This helps your team learn from what works. They can direct their energy where it counts to create better performance across the board.

Benefits of Using Revenue AI to Boost Conversions

1. Increase Conversion Rates and Average Revenue Per Call (ARPC)

In a busy contact center, agent performance can vary widely. This makes it nearly impossible to apply the same deal assessment standard across the entire team. Revenue AI solves this as managers get a single source of truth on pipeline health and conversion potential. 

By giving agents live guidance based on data and flagging high-potential opportunities they might have missed, the AI makes sure your team is concentrated on the deals most likely to close. 

This directly increases the conversion rate. It also boosts the average revenue generated per call and helps create a predictable way to generate sales.

This helps in:

• Finding out exactly which callers are ready to buy without manual guesswork.
• Consistently apply your best sales methods to every call by benchmarking conversations against past wins.
• Saving dozens of hours for managers by automating call review, freeing them for high-value, long-term coaching that generates revenue.

2. Greatly Lower Agent Ramp-Up Time with Coaching Assisted by AI

The time it takes to get a new agent fully productive is a major cost. New hires must learn complex product catalogs and pricing. Revenue AI acts as a guide for every agent, especially new ones. It gives real-time prompts and suggestions during live calls. 

For managers, the platform automates the process of call review. This information points out where a conversation matches a winning plan and where it deviates. It presents good moments for coaching.

This allows you to:

• Help new agents to handle complex calls with confidence sooner.
• Give clear, objective, and actionable information to your team to improve effectiveness.
• Change coaching from subjective feedback to performance improvement based on data.

Build a Predictable Way to Generate Revenue with Thunai

To change your contact center into a high-growth sales operation, you need accurate, real-time deal intelligence on every call. 

Thunai gives you a way to solve this problem that supports growth. It allows you to automatically surface the most promising conversion and upsell opportunities from your team's daily activities.

Ready to find your hidden revenue? Try Thunai and see the difference intelligence based on data can make.

FAQs on Using Revenue AI in Contact Centers

1. How is Revenue AI different from standard call recording software?

Standard call recording software simply stores conversations for manual review. Revenue AI is an intelligence layer on top of that. It actively transcribes, analyzes, and understands every call. It extracts key data, identifies buying signals, scores opportunities, and automates next steps. It changes a passive archive of calls into a tool that helps generate revenue.

2. Can I customize the AI to understand my specific products and industry terms?

Yes. A key feature of platforms like Thunai is the ability to customize its analysis based on what is important to your business. You can define key indicators, competitor names, product-specific terms, and budget-related keywords you want the AI to track. This makes certain the insights are highly relevant to your contact center.

3. What are some of the top AI tools for revenue and sales?

Thunai is a leading Revenue AI and sales intelligence tool. It is especially for teams that want to customize their own parameters and identify all potential leads. Other well-known tools include Salesforce Einstein for CRM-based AI. Conversation intelligence platforms like Gong also analyze sales calls to supply insights into customer behavior.