How Generative Ai Is Reshaping Marketing & Sales ?
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How Generative Ai Is Reshaping Marketing & Sales ?

AI is poised to disrupt marketing and sales in every sector. This is the result of shifts in consumer sentiment alongside rapid technological change. Over 91% of marketers believe generative AI will help to enhance creativity, create more content, and identify new audiences. Marketers have long understood their profession has changed significantly from the days of “one-size-fits-all” messaging and manual processes.

AI technology has revolutionized marketing and sales; now, generative AI promises to disrupt the way B2B and B2C players think about customer experience, productivity, and growth.

The future of work in marketing will be symbiotic with humans and AI working together. Prioritize marketing workstreams and re-imagine that have a maximum value or automating tasks that are resource intensive and take long to complete. In short, the goal should be to enhance human capabilities while embracing the new capabilities.

What does gen AI mean for marketing and sales?

The rise of AI, and particularly gen AI, has potential for impact in three areas of marketing and sales: customer experience (CX), growth, and productivity.

For example, in CX, hyper-personalized content and offerings can be based on individual customer behavior, persona, and purchase history. Growth can be accelerated by leveraging AI to jumpstart top-line performance, giving sales teams the right analytics and customer insights to capture demand. Additionally, AI can boost sales effectiveness and performance by offloading and automating many mundane sales activities, freeing up capacity to spend more time with customers and prospective customers (while reducing cost to serve). In all these actions, personalization is key.

AI coupled with company-specific data and context has enabled consumer insights at the most granular level, allowing B2C lever personalization through targeted marketing and sales offerings. Winning B2B companies go beyond account-based marketing and disproportionately use hyper-personalization in their outreach.

Bringing gen AI to life in the customer journey

There are many gen AI-specific use cases across the customer journey that can drive impact:

At the top of the funnel, gen AI surpasses traditional AI-driven lead identification and targeting that uses web scraping and simple prioritization. Gen AI’s advanced algorithms can leverage patterns in customer and market data to segment and target relevant audiences. With these capabilities, businesses can efficiently analyze and identify high-quality leads, leading to more effective, tailored lead-activation campaigns (see sidebar “A gen AI sales use case: Dynamic audience targeting and segmentation”).

Additionally, gen AI can optimize marketing strategies through A/B testing of various elements such as page layouts, ad copy, and SEO strategies, leveraging predictive analytics and data-driven recommendations to ensure maximum return on investment. These actions can continue through the customer journey, with gen AI automating lead-nurturing campaigns based on evolving customer patterns.

Gen AI can also offer sales leadership with real-time next-step recommendations and continuous churn modeling based on usage trends and customer behavior. Additionally, dynamic customer-journey mapping can be utilized to identify critical touchpoints and drive customer engagement.

The importance of the human touch in AI-driven digital marketing

While generative AI provides a multitude of benefits, it’s important to remember that it is not a silver bullet. The human touch remains essential for digital marketing success. AI may generate content, but humans are needed to guide its direction, provide creative insight, and ensure the final output resonates with the target audience. After all, human emotions, creativity, and intuition cannot be entirely replicated by AI.

There are several key reasons why the human touch is critical in marketing:

1. Builds trust

Genuine human interactions create a sense of trust and reliability. While AI can provide facts and figures, it’s the human touch that can convey authenticity and passion, which are essential for building brand trust.

2. Creates an emotional connection

Humans are emotional beings, and it is this ability to feel and evoke emotions that adds an indispensable element to marketing. AI, as advanced as it might be, still lacks the ability to genuinely feel emotions and respond accordingly.

3. Helps to understand context

While AI is getting better at understanding context, it still struggles in complex situations or when dealing with subtle nuances. Human marketers can understand context better, enabling them to create content and messaging that truly resonates.

4. Ethical considerations

There are numerous ethical considerations in marketing, from data privacy to truthful advertising. Human oversight is necessary to ensure that AI-driven marketing adheres to ethical standards and regulations.

Generative AI + human expertise = potential for marketing greatness

The future of digital marketing is set to be significantly influenced by generative AI. With its unparalleled capacity to analyze vast amounts of data, craft engaging content, offer personalized user experiences, and streamline repetitive tasks, AI’s potential for scale and efficiency is undeniable.

Yet, as our reliance on AI grows, it does not render the human touch redundant. On the contrary, the human element becomes even more crucial. As we’ve seen, building trust, fostering emotional connections, understanding complex contexts, and ensuring ethical considerations–these are all deeply human aspects that AI, in its current state, cannot fully replicate.

AI might be the tool that generates content, but it’s the human marketer who guides its direction, provides the creative insight, and ensures the final output truly resonates with the target audience. This delicate balance between AI’s capabilities and human creativity and empathy is the key to unlocking new levels of success in digital marketing.

Here are the best practices for using generative AI in digital marketing responsibly:

  1. Use high-quality data
  2. Continually review and refine
  3. Update AI models regularly
  4. Consider the ethical implications
  5. Collaborate?

While AI has a crucial role to play in digital marketing, it should be viewed as a tool to augment human creativity, intuition, and experience, not as a replacement for these uniquely human attributes. By combining the scalability and efficiency of AI with the creativity and empathy of human marketers, businesses can create powerful marketing strategies that resonate on a deeply human level. The ultimate goal should be a symbiotic relationship where AI and human expertise complement each other.

The AI landscape is evolving very quickly, and winners today may not be viable tomorrow. Small start-ups are great innovators but may not be able to scale as needed or produce sales-focused use cases that meet your needs. Test and iterate with different players, but pursue partnerships strategically based on sales-related innovation, rate of innovation versus time to market, and ability to scale.

AI is changing at breakneck speed, and while it’s hard to predict the course of this revolutionary tech, it’s sure to play a key role in future marketing and sales. Leaders in the field are succeeding by turning to gen AI to maximize their operations, taking advantage of advances in personalization and internal sales excellence.



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Vijay Taral

IT Support at Birla Open Minds

1 年

Yogesh Apte very informative and insightful

Tirath Mistry

Web Designer and Web Developer at Capsicum Mediaworks

1 年

Yogesh Apte very informative

Akshay Gotmare

Marketing at Amazon

1 年

Insightful post Yogesh!

Sachin Gopa

Co-Founder at Unified Platforms | Helping Brands to Build Sustainable Growth with SEO and Performance Marketing | Ex-upGrad, KnowledgeHut, Scaler, Great Learning | E-Commerce Growth Consultant | Book 1:1 Call

1 年

Insightful post Yogesh Apte

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