Who should enter the ‘Best Use of AI in Sales & Marketing‘ category?

The Best Use of AI in Sales & Marketing category recognizes organizations applying artificial intelligence to transform how they understand customers, engage audiences, and drive sustainable revenue growth. This award celebrates practical, results-driven AI implementations that enhance decision-making, improve efficiency, and deliver measurable commercial impact across the sales and marketing lifecycle.

Entries may showcase how AI is being used to generate deeper customer insight, enable more accurate segmentation, and deliver personalized content and experiences at scale. The category also covers intelligent demand generation, lead qualification, and sales enablement, where AI helps teams prioritize opportunities, improve forecasting accuracy, and accelerate conversion. In addition, submissions may demonstrate how AI supports customer engagement, retention, and loyalty by anticipating needs, reducing churn, and maximizing lifetime value.

Judges will look for solutions that move beyond experimentation to real-world deployment, with clear evidence of performance improvement, scalability, and responsible AI use. Successful entries will demonstrate how AI is embedded into everyday sales and marketing operations, aligned with business objectives, and delivering tangible outcomes such as increased conversion rates, improved customer satisfaction, or stronger long-term growth.

This category is open to technology providers, in-house teams, and agencies, and rewards AI that delivers meaningful, ethical, and measurable impact in modern sales and marketing.

Best AI for sales and marketing award

Example Use Cases

Applications of AI in sales and marketing may include (but are not limited to):

CRM software

The use of AI in sales and marketing to turn data into actionable understanding.

Sales & Marketing AI systems may analyze customer behaviour, intent, and attributes to uncover insights humans alone would miss.

Typical use cases:

  • Predictive segmentation and propensity modelling
  • Behavioural and intent-based clustering
  • Customer lifetime value (CLV) prediction
  • Churn and upsell likelihood modelling

Some areas where entrants can demonstrate tangible success for their sales and marketing AI implementation:

  • Clear improvement in targeting accuracy
  • Evidence of insight leading to action
  • Measurable impact on conversion or retention

AI-driven personalized phone notification

Delivering the right message at the right moment. Here, may be AI used to generate, adapt, or optimize messaging, creative, and experiences across channels.

Typical use cases:

  • Dynamic email, web, or in-app personalization
  • AI-assisted content creation and testing
  • Real-time creative performance optimization
  • Personalized offers and recommendations

Examples of measurable success:

  • Demonstrable uplift in engagement
  • Responsible and brand-safe AI usage
  • Scale beyond manual A/B testing

AI-driven lead qualification in sales

Finding, scoring, and prioritizing the right opportunities. Sales-driven AI systems may improve lead discovery, scoring, and routing across the sales funnel.

Typical use cases:

  • Predictive lead scoring and prioritization
  • Automated MQL/SQL classification
  • Intent-based prospect identification
  • Channel and campaign optimization

Possible things to include in your submission / tangible success indicators:

  • Improved sales efficiency and focus
  • Reduced cost per lead or acquisition
  • Clear alignment between sales and marketing

AI-driven sales forecasting

Helping sales teams sell smarter. AI applied within sales operations to improve forecasting accuracy, deal execution, and revenue outcomes.

Typical use cases:

  • Deal risk and win-probability prediction
  • Revenue forecasting and pipeline health
  • Next-best-action recommendations for reps
  • CRM data enrichment and insight

Potential areas to demonstrate measurable results:

  • Improved forecast accuracy
  • Shorter sales cycles or higher win rates
  • Clear adoption by sales teams

AI to increase lifetime customer value

Leveraging AI in sales and marketing to increase the lifetime value of a customer, not just secure the first sale. Here, AI may be used to deepen relationships, reduce churn, and grow customer value over time.

Typical use cases:

  • Churn prediction and intervention
  • Personalized retention and loyalty programmes
  • AI-driven customer journey orchestration
  • Post-sale engagement optimization

Some examples of demonstrable success:

  • Retention and lifetime value improvements
  • Proactive, not reactive, engagement
  • Evidence of long-term customer impact

Hall of Fame: Previous Winners

Amperity Logo

Amperity leads the way in AI-driven personalization, unifying fragmented customer data into actionable intelligence that powers truly individualized experiences at scale. Its robust identity resolution and predictive insights enable brands to understand and engage their audiences with remarkable precision. The A.I. Awards proudly recognizes Amperity for redefining personalization through cutting-edge AI that transforms data into connection.”

The Cloud Awards COO, Annabelle Whittall

Best Use of AI in Personalization 2025, Amperity

Areas to Highlight in Your Submission

Judges score nominations across these five key areas:

  • Innovation: The features or technology that makes your sales or marketing solution unique - or transformed your market.

  • Impact: Evidence of the positive effect your sales or marketing solution has brought to your customers.

  • Scalability: How your solution grows or adapts to changing business needs, without significant upgrades or overhauls.

  • User Experience: How intuitive your sales or marketing solution is to use for users of varying roles or skill levels.

  • Relevance: What makes your solution a worthy winner in this particular category.

Although not formally scored, focus on these areas specific to this category, can help your nomination stand out:

Automation

AI-driven features that increase user efficiency, with compromising accuracy, or 'human touch'.

Personalization

What data or features are available to enable users to personalize their customer communications or campaigns.

Customization

The options available to users to customize the solution to meet their individual user needs, or that of their industry or sector.

More A.I. Awards Categories

Next Steps to Enter The A.I. Awards

To enter this AI Awards category, or any other category in The AI Awards, please follow these three simple steps:

  • Download the entry form. Open up the ‘AI Awards Simple Form’ document.

  • Complete the form. You only need to complete the form once, even if entering multiple A.I. Awards categories.

  • Submit your entry. Head to the ‘Submit Now’ section on our website, select ‘The A.I. Awards’ and the category/categories you are entering from the list, upload your form and any other materials you would like the judges to review, and process your fees.

The A.I. Awards is a program from The Cloud Awards. Since 2011, we’ve been helping organizations across the globe gain the recognition they deserve for market-leading innovation in the cloud computing and software sectors.

For a detailed breakdown of all the benefits you receive as an awards entrant as either a shortlistee, finalist or ultimate winner, please see our “Why Enter?” page. The many benefits are replicated across all international awards programs. If you have any questions about this category, please contact us.