The New AI Reality: How Artificial Intelligence Simplifies the Work of Marketers and Sales Managers

Tools to Try

ChatGPT

• Implementation: Ready-to-use right after integration. ChatGPT can be customized with rules for generating marketing prompts or tailoring texts to your tone of voice and audience.
• Learning: No additional training is required; necessary settings are pre-configured.
• Use Case: Automating routine marketing tasks, including text generation, responding to queries, content creation for campaigns, and drafting social media posts.

AdCreative.ai

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• Implementation: A plug-and-play solution requiring no complex integrations. Start working immediately after subscribing.
• Learning: Uses AI models that adapt to user data, such as keywords, audience specifics, or brand tone of voice.
• Use Case: Ideal for tasks with predefined data types, like product parameters or audience information.

Persado

• Implementation: A customizable tool that integrates with platforms like CRM, email marketing, Google Ads, or Instagram. It gathers data about clients and campaigns to create personalized, relevant messages for various purposes, such as boosting loyalty or attracting new clients.
• Learning: Learns from the business’s historical data, including past campaign results, content reactions, and click-through patterns, to refine its models and tailor messages for specific goals.
• Use Case: Processes a variety of requests, enabling personalized and optimized content generation aligned with marketing objectives.

Automating Marketing Campaigns

Preparing and launching campaigns often involve repetitive tasks. AI can analyze vast data volumes and automate the campaign setup process, optimizing ads for specific audience segments and identifying the best placements.

Tools for Automation

HubSpot

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• Implementation: A ready-to-use solution that integrates with CRMs, websites, and social media accounts. Minimal setup is needed.
• Learning: Does not train on company data but uses predefined AI algorithms to personalize and automate campaigns.
• Use Case: Ideal for standard marketing tasks such as email campaigns, lead generation, and social media management.

AdRoll

• Implementation: Customizable with some initial configuration required to integrate with advertising channels, social media, and email platforms.
• Learning: Uses customer behavior data to personalize cross-channel campaigns.
• Use Case: Automates cross-channel marketing, creating a seamless user experience through email, social media, ads, and landing pages.

Marketo Engage

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• Implementation: Flexible and suited for complex tasks. Requires deep integration with CRM, ERP, and other systems to support multichannel customer interactions.
• Learning: Processes numerical, textual, and behavioral data to refine campaigns in real time.
• Use Case: Handles complex tasks, such as multichannel marketing campaigns integrated with sales.

Audience Segmentation and Personalized Communication

Knowing your audience is great, but segmenting it and personalizing messages are even better. AI allows deep audience segmentation based on behavioral data, preferences, and interaction history. As a result, customers feel valued and engaged, while brands enjoy increased loyalty and conversion rates.

For example, Netflix analyzes a variety of behavioral factors and uses the data to create personalized recommendations. This approach keeps customers engaged and increases their time spent on the platform.

Tools for Personalization

Dynamic Yield

• Implementation: A tailored tool that integrates with marketing systems like websites, CRM, or analytics platforms.
• Learning: Learns from behavioral data to enhance personalization and engagement.
• Use Case: Creating personalized, seamless experiences for different audience segments, such as dynamic email campaigns or AI-driven product recommendations.

Optimizely

• Implementation: A customizable solution that integrates with marketing platforms, internal systems, and websites.
• Learning: Trains on textual and numerical data, with A/B testing capabilities to optimize communication.
• Use Case: Personalizing and optimizing content and user experience for audience segments based on company data.

Relevant Content Creation for People and Search Engines

AI accelerates the creation of high-quality, relevant, and optimized content for any communication channel: websites, landing pages, social media, proposals, press materials, and more. Tools like ClearScope, Frase, and Claude support marketers in generating content tailored to audience needs and SEO trends.

Client Satisfaction and Loyalty Analysis

Understanding client sentiment is crucial for maintaining loyalty and addressing dissatisfaction. Tools like Medallia, Sprout Social, and Lexalytics analyze large datasets, detect patterns, and measure audience attitudes, allowing brands to adapt their communication and prevent churn.

AI for Sales Managers: Selling More, Faster

By 2028, Gartner predicts that 60% of sales transactions will involve AI. This shift is transforming sales functions, funnel management, and workflow automation. Tools like Clari, InsideSales, and SAP Joule help predict sales trends, manage leads, and optimize pricing strategies in real time.

Conclusion

AI is not a magic wand that instantly solves all business challenges. However, it’s a powerful tool for automation, analytics, and informed decision-making. It helps businesses better understand customers, analyze behavior effortlessly, and streamline routine tasks in marketing and sales, giving teams more time and energy for truly strategic initiatives.