Average Revenue per Sale is a key metric for your business. But increasing it is challenging. What you’re basically asking to do is get its customers to spend more money with each purchase, which is easier said than done.
Fortunately, there are multiple new and emerging technologies in 2025 and 2026 that help businesses increase Average Revenue per Sale, also known as Average Order Value. These innovations are driving up sales and making people check out with more items in their basket. So what is moving the needle on this?
AI-powered personalization engines
One of the main things that’s making a big difference is AI-powered personalization engines. These pieces of software are able to analyze customer behavior and deliver hyper-personalized product suggestions and dynamic pricing. This means that companies can take advantage of all of the information that they have on the client in real-time. Because of this, customers are more likely to be susceptible to cross-selling, with some estimates suggesting that these recommendation engines can increase average order value by over 300%.
Augmented reality for immersive shopping
Another technology, Augmented Reality, is allowing customers to visualize products in real space in front of them. Again showing them how they could benefit if they actually bought them. Augmented Reality leads to significantly higher conversion rates of up to 40% in some cases. Again making it a great option for companies looking to leverage technology to boost average order value.
Easy check-outs
Average order value also increases when checkout is easy. If you can accept payments with confidence, clients will feel less friction.
These days, most e-commerce businesses can benefit from single-click payments. Integrated systems from third-party companies make this relatively straightforward. Without the need for customers to fill out large forms every time they want to check out. This can then lead to higher average order value because it increases trust. Customers know that you’re on their side.
Agentic AI and conversational commerce
At the same time, we are seeing the development of a generative AI in conversational commerce. These allow consumers to make better purchasing decisions based on conversations they have with AI agents and chatbots.
At the moment, this technique is being heavily used by brands with complex products, especially those in the SaaS space. Chatbots are able to provide prospective clients with information and overcome pain points. They are also able to upsell to them and recommend versions of products that will provide them with more value.
Outcome-based pricing model
Another key innovation is outcome-based pricing models, especially in SaaS. The idea here is for you to get paid only when the underlying client gets paid as a result of using your services. A good example of this is an advertising agency that only charges a commission based on the total new sales that the firm makes because of their advertising efforts.
This approach is popular because it offers a win-win situation. Companies don’t have to pay any money for services up-front, and brands providing these services have massive incentives to generate revenues and create quality products for their clients.