Most e-commerce sites already use some form of recommendations—it’s not groundbreaking anymore. But not all recommendation systems are built the same. If you’re already using Optimizely Web Experimentation or Personalization, Optimizely Web Recommendations stands out as the natural next step for improving your site’s personalisation capabilities.
Why? Because it’s designed to work seamlessly with your existing setup, offers unparalleled flexibility, and empowers your team to quickly refine and adjust recommendations without needing complex rework. Here’s why Optimizely Web Recommendations may be a smart choice for your business:
1. Easy Integration and Familiar Workflow
If you’re already using Optimizely Web Experimentation or Personalization, adding Web Recommendations feels like a natural upgrade:
Quick Setup: The installation process is short and requires minimal effort, letting you start using recommendations quickly.
Unified Ecosystem: The interface and workflows are the same ones your team already knows, so there’s no steep learning curve. Content editors can get started without needing extra training.
Efficient Workflows: From creating widgets to updating them, everything is intuitive and designed to fit into your existing Optimizely workflow.
By building on what your team already uses, Web Recommendations saves time and simplifies the process of delivering personalised content or products.
2. Granular Control Over Algorithms and Placement
Unlike many “one-size-fits-all” recommendation systems, Optimizely Web Recommendations gives you powerful tools to fine-tune your setup:
Custom Algorithms: Define exactly how recommendations are generated, such as using behavioural data, trending products, or tailored rules.
Precise Placement: Decide where to display recommendations—on product pages, in search results, or at checkout. This flexibility ensures recommendations appear where they’ll have the most impact.
3. Rapid Updates and Experimentation
Optimizely Web Recommendations makes it easy to stay nimble in a fast-paced environment:
Quick Changes: Add or modify recommendation widgets in minutes without waiting for lengthy deployments.
Built for Experimentation: Test different placements, algorithms, or designs to discover what works best for your audience. Refine your approach based on real-time results to optimise performance.
This capability is especially valuable for businesses that need to quickly adapt to customer behaviour or market trends.
4. Perfect for Personalised Campaigns
Go beyond generic recommendations to create deeply personalised campaigns:
Targeted Campaigns: Serve specific recommendations based on user behaviour, geographic location, or other targeting criteria.
Strategic Experiments: Test how placement and algorithm tweaks impact engagement and conversions.
Whether you’re running seasonal promotions, introducing new products, or refining upselling strategies, Web Recommendations makes it easy to personalise at scale.
The Next Step for your Experimentation and Personalisation Program?
If you’re already using Optimizely Web Experimentation or Personalization, Web Recommendations is the next logical step to explore. It integrates seamlessly into the tools you know, giving you flexibility and control. With rapid updates, granular customisation, and a familiar workflow, it’s never been easier to deliver smarter, more engaging recommendations.
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