What is predictive marketing?
Predictive marketing is the digital marketing discipline capable of detecting purchasing patterns and offering a personalized experience and communication.
Predictive Marketing is now a reality for large companies and is a clear trend for increasing customer satisfaction and multiplying marketing action conversions.
Why is Predictive Marketing trending now?
You might have heard of Predictive Marketing, but just in case, let’s start with a brief introduction. Predictive Marketing can be defined as the ability to detect consumer purchase patterns to offer a personalized experience.
Predictive Marketing relies on two fundamental pillars: Big Data and Artificial Intelligence. Thanks to CRM and Big Data solutions, we can store a large amount of customer data. Managing such vast amounts of information would be unfeasible without Artificial Intelligence. It’s about detecting similar patterns and identifying the main factors of purchase propensity.
Understanding consumption habits means translating concrete customer actions into information about interest and purchase intent. With this information, you can run segmented marketing campaigns and create content that addresses each person’s real needs.
Utiliza la Inteligencia de Pleasepoint para aumentar el ROI de tus acciones de CRM, marketing y publicidad digital.
Pleasepoint es la plataforma de machine learning que segmenta los clientes de tu CRM con predicciones de compra por cliente y personaliza tu marketing digital a escala.
Solicita una demo para ver las ventajas de trabajar la segmentación de clientes utilizando el Customer Lifetime Value, personalizando según el perfil de buyer-persona basado en datos y la recomendación de productos one-to-one.
Solicita una demoWhy is Predictive Marketing necessary?
Predictive technology provides the tools needed to leap into personalization and join the next generation of marketing. Here are the most important benefits:
- Increase the return on marketing actions
- Boost purchase frequency with more loyal customers
- Enhance the customer experience throughout the purchase process
- Personalize campaigns and promotions based on interest
- Recommend specific products based on intent
How to incorporate predictive strategy into a Marketing Plan?
Now that you have a better understanding of what Predictive Marketing is and its uses, let’s focus on how it will positively impact the application of a personalized marketing strategy and how specialists can leverage a predictive recommendation engine in their daily work.
Fortunately, predictive technology is designed to impact all aspects of marketing strategy. This makes it easy to incorporate predictive and personalized content into any strategy and workflow.
Here are some ways to integrate Predictive Marketing into daily marketing operations:
- Personalized recommendations based on consumer preferences.
- Enhanced online shopping experiences that change and update constantly.
- Real-time optimized email campaigns to maximize conversions.
- Personalized incentives and promotions to boost revenue.
Artificial Intelligence is driving new jobs in marketing
83% of companies using Artificial Intelligence are creating new job positions, and 75% of companies report a 10% increase in sales thanks to Artificial Intelligence.
For professionals who are not currently technical, their value will not lie in tasks or knowledge but in creativity and communication—areas where machines will not replace humans but rather enhance their skills.
11.7% of jobs in Spain have a high probability of being automated in the next 10 years. Opportunities will increasingly focus on high value-added categories.
How are large companies using Predictive Marketing today?
Marketing departments in large companies have understood that consumers now share their preferences, location, or price sensitivity through their smartphones and browsing behavior. These digital marketing teams work on automating real-time promotions and dynamic pricing.
E-commerce and Artificial Intelligence are revolutionizing the retail world. Marketing strategies must continuously adapt to understand and connect with consumers. Artificial Intelligence allows for personalizing the experience to guide loyalty programs and increase purchase frequency through available channels (online and physical stores).
Si has llegado hasta aquí esto te interesa.
Pleasepoint es la plataforma de machine learning que segmenta los clientes de tu CRM con predicciones de compra por cliente y personaliza tu marketing digital a escala.
Solicita una demo para ver las ventajas de trabajar la segmentación de clientes utilizando el Customer Lifetime Value, personalizando según el perfil de buyer-persona basado en datos y la recomendación de productos one-to-one.
Solicita una demoThe transformation that Predictive Marketing brings allows hotels and restaurants to stand out in a highly competitive market driven by internet portals. Retaining customers means offering what they like and are interested in to encourage them to return.
Artificial Intelligence is clearly transforming marketing, sales, customer service, and operations across all sectors. Conversion is the main goal of marketing actions, and AI has the capability to process all the information and help create more accurate campaigns quickly and economically.
How does Artificial Intelligence affect the job market?
The rise of Artificial Intelligence fuels the debate on the impact of technology on the job market, the economy, and our daily lives. Will a robot take my job? How can I avoid this situation?
Artificial Intelligence needs human ingenuity to thrive. Companies need to pivot to new business models and incorporate professionals with new knowledge, skills, and ways of working.
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"With Pleasepoint, we have moved from the traditional campaign management model to a more dynamic, segmented, and enriched customer model, personalizing CRM campaigns and improving the conversion of our e-commerce channel customers."
Josep Jarque
Digital Project Manager & IT Architect"The implementation of one-to-one personalization has allowed us to generate much more interesting content for users, as well as foster loyalty, improve the shopping experience, and generate additional sales through personalized recommendations."