First of all, I would like to address one point, namely why is the topic of decisioning so important?
A good decisioning engine is important in a personalization tool for several reasons:
Content relevance: An effective decisioning engine ensures that users are presented with the most relevant content, products or offers. This increases the likelihood that users will accept the suggested content, which leads to higher conversion rates.
User experience: Personalized recommendations and tailored experiences make the user feel better understood and valued. A positive user experience promotes customer satisfaction and long-term customer loyalty.
Efficient use of data: A good decisioning engine uses user data efficiently to make precise predictions and recommendations. This includes analyzing behavior patterns, preferences and historical data.
Real-time adjustments: A powerful decisioning engine can respond to user input and behavior in real time. This enables dynamic adjustments and up-to-date recommendations that are tailored to the user’s current context.
Competitive advantage: Companies that can better understand their customers and offer personalized experiences have a clear competitive advantage. You can stand out from the competition and better retain customers.
Increased revenue: Targeted recommendations can encourage cross-selling and up-selling. This can lead to an increase in the average order value and thus higher revenue.
Reducing churn: By continuously taking into account the needs and preferences of users, companies can increase customer satisfaction and reduce the churn rate.
Optimizing marketing campaigns: A decisioning engine can help optimize marketing campaigns by delivering the most relevant offers to the right users at the right time. This increases the efficiency and effectiveness of the campaigns.
Personalized user journeys: A good engine can create personalized user journeys that guide the user through the entire purchasing process and help them make the best decisions for them.
Overall, a good decisioning engine is crucial to unlocking the full potential of a personalization tool by strengthening user loyalty, increasing customer satisfaction and ultimately improving business results.
Now that we have clarified the importance of the decisioning engine and why this is the case, let’s take a look at the decisioning engine in Sitecore Personalize.
Sitecore Personalize:
Sitecore Personalize enables you to combine data, personalization and segmentation rules to guide the best action for each customer and thus maximize their engagement and satisfaction.
The easier things are to do, the more likely users are to accept and use them. This is exactly what drag-and-drop modeling for Sitecore Personalize is for. Easily create sophisticated decision models using simplified notations on a user-friendly drag-and-drop canvas.
To avoid flying blind, the personalization tool provides real-time customer insights. Discover real-time insights, use current customer data and shape their journey with every click and tap so that every moment counts!
If you want to rely on data-driven, use machine learning (ML) and analytical models. Use real-time data from microservices and AI models to make smarter, data-driven decisions and optimize your strategies.
To simplify these decisions, the tool provides decision tables. Simplify the modeling of complex logic and the application of business rules by using decision tables in your models and thus improve operational clarity.
In general, all offers can also be managed very easily. Increase your marketing impact by easily providing personalized offers for each experience and thus encourage engagement and conversions.
If you want to do less design yourself, be it due to lack of time or other priorities, you can use decision templates. Use ready-made drag-and-drop templates for different scenarios that allow marketers to make decisions even without programming knowledge.
For people with JavaScript knowledge and those who prefer to design things themselves, you can use so-called Programmable Decisions. Use familiar server-side JavaScript with ease to create custom attributes and reusable decision templates that are specifically designed for technical users.
To do everything you need. There is of course also a decision validation on board to verify what has been done. Optimize decision models by testing them on real guests before live use and thus ensure accuracy and efficiency for effective customer interactions.
After validation comes optimization, of course; as with everything, standing still is a step backwards. Distribute target groups across decision model variants and evaluate which option generates higher conversions.
