2 min read

Leveraging AI for Agility in Marketing and Sales

Leveraging AI for Agility in Marketing and Sales

In today's dynamic business landscape, adapting quickly to changing market conditions is a competitive advantage. Many successful companies use AI models to harness customer data and respond rapidly to evolving marketing scenarios. 

While it's good to figure out how you can make AI work to keep up with your competitors, it's also a great tool. 

This article explores how AI-driven predictions transform marketing and sales strategies, enabling organizations to navigate uncertainty effectively.

The Challenge of Measuring Marketing Returns

Traditionally, firms struggled to measure the returns on their marketing investments. Establishing a clear causal link between marketing activities and customer responses was challenging in the analog era.

The digital world introduced a novel approach: conducting numerous cost-effective experiments to connect marketing and sales actions with customer responses. Firms now track customer interactions from search to purchase, accumulating vast amounts of valuable data.

The Power of AI Predictions

Certain companies excel at adapting to changing marketing conditions, and a common thread among them is their use of AI models for predicting customer behavior. These models analyze historical consumer data, forecast customer responses to marketing campaigns, and enable proactive management of customer relationships.

Proactive vs. Reactive

While competitors often react to customer actions, these forward-thinking firms proactively approach customer relationships. They use AI to predict customer churn and identify corrective actions, allowing them to retain customers who might otherwise leave. When external factors disrupt predictions, they swiftly adjust their strategies.

AI Models as Experimental Engines

AI predictions essentially function as engines for conducting numerous experiments. This agility enables firms to respond faster to market changes, gaining a competitive edge.

Changing the Game: Real-World Examples

Two real-world examples illustrate the impact of AI predictions on marketing and sales strategies.

Global Trading Firm: 

In 2019, a global trading firm used AI-based models to analyze clients' buying processes. Initially, quality-related factors drove shortlisting by clients. By May 2020, AI predictions indicated that delivery-related terms were more critical. The firm promptly adjusted its strategy, aligning with market shifts.

Real Estate Developer:

 In early 2020, a UK real estate developer analyzed incentives for tenants, favoring conservative offers due to low vacancy expectations. However, the developer's AI model in late February suggested expanding flexible workspaces and offering incentives. This rapid response outpaced competitors still relying on outdated models.

Goals and ROI

To harness AI predictions effectively, firms must set specific goals for their AI models. These goals involve achieving customer acquisition targets within a given budget. AI models are not just about accurate predictions; they consider the balance between correct and incorrect predictions, working within budget constraints.

Feedback Loops: Closing the Gap

Unlike engineering, marketing and sales traditionally lacked feedback loops to enhance output. The lag between actions and customer responses made causality challenging to establish.

AI models offer granular insights, allowing organizations to update strategies quickly and bridge the gap between strategy and execution.

Reallocating Resources

AI-optimized scenario planning enables firms to reallocate resources optimally. In facing challenges like the Russia-Ukraine conflict, AI helps determine the best way to reallocate budgets to offset losses, improving decision-making.

Segmentation Reimagined

AI models redefine segmentation by focusing on the likelihood of customer reactions to marketing and sales actions. Rather than starting with what customers need, AI identifies customers most likely to respond positively to specific strategies, aligning resources accordingly.

The Future of AI in Marketing and Sales

AI's potential for enhanced predictions and integrated customer-facing organizations is transforming how companies engage with customers. Digitally native firms may lead the way, while legacy firms face obstacles related to organizational structure and board-level understanding of AI's capabilities.

Humans and AI: A Collaborative Future

AI won't replace marketing and sales functions entirely. Humans will remain essential for making nuanced decisions, validating AI recommendations, and continuously monitoring outcomes. AI is a tool that augments human capabilities and offers a competitive advantage in an ever-evolving market.

Not only that, but AI is a tool that you can use. It's here to stay, and the best way to get ahead of the curve is to learn how to leverage it.

Leverage AI Marketing: Unlock Growth Potential

Leverage AI Marketing: Unlock Growth Potential

The integration of artificial intelligence (AI) in marketing strategies is very popular right now.

Read More
10 Ways AI Can Enhance Sales and Marketing Strategies

10 Ways AI Can Enhance Sales and Marketing Strategies

Artificial intelligence (AI) is here to stay, whether you love or hate it. And for good reason, too. It can help you understand your target audience,...

Read More
Industry Events: A Sales and Marketing Collaboration

Industry Events: A Sales and Marketing Collaboration

Industry events often play a critical role in demand-generation efforts. However, they come with a hefty price tag, draining the budget, time, and...

Read More