Generative and Predictive AI: growth and revenue
CONTEXTThe Age of Algorithms
In today's society, artificial intelligence (AI) is ubiquitous, improving efficiency and convenience in a variety of areas. In marketing, predictive AI and machine learning models optimize strategies by predicting consumer behaviors. In addition, generative AI automates content creation, personalizing messages in a scalable and dynamic way, thus revolutionizing marketing practices.
The challengeEfficiency and ethics
A key challenge in leveraging the artificial intelligence (AI) integrated into cloud marketing platforms is to ensure that they are properly understood and configured. The effectiveness of these tools depends on how marketers use and adjust the underlying algorithms to meet their specific objectives, as well as ensuring transparency and ethics in their use.
ResultsGrowth and revenue
The expected results of the proper use of the Predictive AI in marketing actions omnichannel are an improvement in conversion rates and therefore ROI. This is due to better personalization of offer, channel, price and audience.
While the use of Generative AI in marketing processes and the generation of content variants for personalization, the expected results are the reduction of time-to-market of actions, and the ability to generate content at scale.
A GLOBAL SOLUTIONSolution #Digitalfullness
The artificial intelligence solutions embedded in Salesforce Einstein y Adobe Sensei offer users advanced capabilities to optimize operations and enhance the customer experience.
Salesforce Einstein use IA to analyze data, automate tasks and deliver predictive insights that drive informed decision making.
On the other hand, Adobe Sensei uses AI to personalize content, automate creative workflows and provide intelligent recommendations that boost the effectiveness of marketing and design strategies.
Services Artificial Intelligence Services
From NATEEVO we help our customers from 4 aspects:
1-Conceptualization and strategic definition
We work through different Design Thinking and co-creation sessions, the definition of use cases where we can apply generative AI based on our objectives and our technology stack. The objective is to define applicable actions and obtain a roadmap of work in the short, medium and long term depending on the impact, effort, time and strategy of the company.
On an objective, such as efficiency, time reduction, process automation.... we help companies to define the use cases to be carried out depending on the maturity of the company and we accompany them after the definition, in the development process, either with box tools or new solutions.
2-Positive adoption and change management
We work on the co-definition of new processes, roles and responsibilities. In short, we help to define and establish a new governance model that will accommodate the defined solution or use case so that it really becomes part of the new organizational scenario and the proposed objectives are met.
For this, we incorporate in our solution, team training and knowledge transfer, for a positive adoption and correct change management.
3-IA predictive associated with cash solutions in the field of marketing and data
The Predictive AI analyzes historical data to forecast future results, such as product demand, weather or market behavior. At NATEEVO, we associate cash solutions in the field of marketing and data to Predictive AI to get the best out of your infrastructure:
- STO, lMarketing Cloud Engagement's Einstein Send Time Optimization (STO) determines the best time to send a message. Using machine learning, Einstein predicts optimal sending times so that a user is more likely to engage with our message.
- Lead Scoringuses real-time and historical data to predict the likelihood of a lead converting into a customer, helping to prioritize sales and marketing efforts on the most promising leads.
- CLVCustomer Lifetime Value Prediction, estimates the lifetime value of a customer, enabling companies to focus their efforts on retaining the most valuable customers and maximizing the return on marketing and sales investment.
4-Generative 4-IA associated with cash solutions in the field of marketing and data
The Generative AI focuses on creating new content, such as text, images, music or even code, from learned patterns. One example is ChatGPT, which generates natural language responses.
- A/B/C TestThe conversion of a landing page, email or message can be optimized by analyzing the response rates of each option until the best one is found.
- Customizationallows you to present each user with the content that has the greatest affinity, analyzing the historical behavior of all users and their preferences.
- Recommendationsallows you to present each user with a list of product or content recommendations from a catalog, in order of relevance, by analyzing the historical behavior of all users and their interactions.
5-IA & accessibility
Artificial intelligence (AI) is playing a crucial role in the improved accessibilityespecially in regulatory compliance.
We use tools that allow us to audit the accessibility status of digital assets and propose improvements. In addition, we rely on generative AI tools to create accessible content more efficiently, generating automatic captions, image descriptions and providing real-time translations.
These technologies not only ensure regulatory compliance, but also promote an inclusive digital experience for all users, including those with visual, hearing or motor disabilities.
We invite you to schedule a personalized session and we can tell you more about the use cases that we have already developed and that are being a success.
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