Driving Ad Revenue Growth with AI: The Secret to Smarter Ad Sales

The buyer is always tuned in to one radio station: WIIFM (What’s In It For Me). The rest is filtered out as noise.” – Steve Woodruff, Author and Speaker

“What’s in it for me?” – answering this question, consistently and contextually, is crucial for ad sales teams. And to do this effectively, they need real-time insights that deliver actionable, relevant data. However, the complexity of today’s ad landscape—packed with data from multiple platforms and ad formats, not to mention high demands from advertisers and stakeholders—often prevents ad sales teams from focusing on what matters most: driving revenue and growth.

Instead, they find themselves bogged down in manual media planning, juggling fragmented data, and reconciling reports. With so much time devoted to these tasks, there’s little left for strategy, relationship-building, or performance optimisation.

Data Challenges Ad Sales Teams Face Every Day

Ad sales teams encounter a variety of obstacles that hold them back:

  1. Fragmented Data Sources and Dependency on Ops for Insights
    Ad monetisation teams work with data from multiple platforms, each with its own metrics and reporting tools. Consolidating this data manually to generate reports is time-consuming and often sales teams have to wait a long time for ad ops teams to access insights that give a holistic view of campaign performance or inventory status, resulting in delayed decision-making.
  2. Lack of Real-Time Insights
    In an industry where timely decisions can make or break a campaign’s success, the inability to access real-time data can lead to missed opportunities. Without up-to-date insights, sales teams are left reacting to issues instead of proactively optimising campaigns and client relationships.
  3. Difficulty in Forecasting and Pricing
    Setting the right prices for ad spaces or predicting future demand is challenging when data is scattered across platforms. Without a unified view, ad sales teams struggle to optimise pricing models, forecast inventory availability, and align their strategies with market trends.
  4. Client Retention and Growth
    Maintaining client relationships requires deep insights into campaign performance and client needs. Identifying churn risks or upselling opportunities becomes increasingly difficult when insights are buried in complex datasets, leading to missed chances for growth.

These challenges make it harder for ad sales teams to achieve KPIs and drive growth. So, what essential insights do they need to overcome these obstacles?

Essential Insights Ad Sales Teams Need to Drive Growth

To remain competitive and maximise revenue, ad sales teams need specific data insights to impact decision-making and campaign outcomes. Here are some key questions they need to answer:

  • Which campaigns are performing best?
  • What is the current inventory availability?
  • How can pricing be optimised?
  • Which clients are at risk of churn?
  • Which advertiser to reach out to next?
  • Where are the growth opportunities?

Without clear answers to these questions, ad sales teams struggle to make timely decisions that lead to missed opportunities.

Introducing Voiro Genie – Your Ad Sales Growth Driver

This is where Voiro Genie steps in. Built as a media-specific AI-powered solution, Voiro Genie transforms the way ad sales teams work with data. Voiro Genie is an AI-powered analytics and automation solution, that is built to address the unique challenges of ad sales teams by streamlining the process of data gathering, analysis, and reporting, and by providing actionable insights in real-time.


Here’s how Voiro Genie can revolutionise the way ad sales teams operate:

Key Benefits of Voiro Genie:

  • Lead Prioritisation and Analysis
    Voiro Genie analyses potential advertisers based on factors such as company size, industry, and past spending patterns. Based on this data, sales teams can prioritise leads and understand which advertisers they should focus on first, maximising efficiency and potential deal sizes.
  • Inventory Management and Matching
    Genie continuously analyses available ad inventory across platforms and matches it with advertiser preferences and campaign requirements. This ensures that sales teams are offering optimal placements to their clients, maximising both client satisfaction and inventory utilisation.
  • Dynamic Pricing Optimisation
    Genie can analyse market trends, demand patterns, and competitor pricing to suggest optimal prices for ad spaces. This helps sales teams adjust prices in real-time based on factors such as seasonality or market shifts, ensuring maximum revenue potential.
  • Campaign Performance Prediction
    Using historical data, Genie predicts the likely performance of proposed ad campaigns. This helps sales teams set realistic expectations, structure deals effectively, and ensure campaigns deliver on their objectives.
  • Cross-Selling and Upselling Recommendations
    Genie can suggest additional ad spaces or complementary products based on an advertiser’s current campaigns and performance. This helps sales teams increase deal sizes and provide clients with targeted recommendations that enhance their campaign success.
  • Churn Prediction
    By analysing client behavior patterns, Genie can identify advertisers who are at risk of not renewing their contracts. 

Conclusion

In a world where data is king, ad sales teams need tools that not only simplify ad monetization but also unlock new growth opportunities. Voiro Genie serves as the perfect co-pilot for these teams, lifting the burden of data management and delivering actionable insights that drive revenue and performance.

Want to see Voiro Genie in action? Check out Voiro Genie and book a beta test by writing to us at marketing@voiro.com.