Optimizely

Overview

Optimizely provides a Digital Experience Platform (DXP) that integrates experimentation, content management, and e-commerce capabilities. The platform aims to assist enterprises in optimizing their digital presence through data-driven decisions. Its core offerings include an Experimentation Platform for A/B testing and multivariate testing, a Content Cloud for content management, and a Commerce Cloud for e-commerce operations. This integrated approach allows businesses to conduct experiments on website changes, marketing campaigns, and product features to understand user behavior and improve key performance indicators (KPIs).

The Experimentation Platform supports various testing methodologies, including A/B tests, multivariate tests, and personalization campaigns. Developers can integrate Optimizely's SDKs into their applications to manage experiments programmatically across web, mobile, and server-side environments Optimizely developer documentation. This facilitates the implementation of personalized experiences based on user segments and behavioral data. The platform's enterprise focus means it is designed to handle large-scale data volumes and complex organizational structures, offering features such as role-based access control and integration with existing enterprise systems.

Optimizely's Content Cloud, formerly Episerver CMS, provides tools for content creation, publishing, and personalization. It allows marketing teams to manage website content, landing pages, and digital assets while integrating with the experimentation platform to test different content variations. The Commerce Cloud extends these capabilities to e-commerce, offering functionalities for product catalog management, order processing, and personalized shopping experiences. This comprehensive suite is particularly suited for organizations that require a unified platform for managing their digital content, commerce, and customer experience optimization efforts.

The platform's compliance certifications, including SOC 2 Type II, GDPR, CCPA, ISO 27001, and HIPAA, address data security and privacy requirements relevant for enterprise clients operating in regulated industries. Optimizely's developer experience emphasizes extensive documentation and multiple SDKs, supporting integration into diverse technology stacks from JavaScript frontends to Java and .NET backends. This breadth of support aims to provide flexibility for development teams implementing and maintaining digital experiences.

Key features

• A/B Testing & Multivariate Testing: Tools to create and run experiments on website elements, user flows, and product features to measure impact on conversion rates and other metrics.
• Personalization: Capabilities to deliver tailored content and experiences to different user segments based on behavior, demographics, and other data points.
• Feature Experimentation: Allows developers to test new features in production with a subset of users before full rollout, using feature flags.
• Content Management System (CMS): A platform for creating, editing, and publishing digital content across various channels, integrated with experimentation capabilities.
• E-commerce Platform: Functionality for managing online stores, product catalogs, pricing, and order fulfillment, with built-in optimization tools.
• SDKs for Multiple Languages: Supports client-side and server-side experimentation with SDKs for JavaScript, Python, Java, Ruby, .NET, PHP, Go, React, and Vue Optimizely's API reference.
• Analytics & Reporting: Dashboards and reports to monitor experiment performance, analyze results, and gain insights into user behavior.
• Audience Segmentation: Tools to define and target specific user groups for experiments and personalized experiences.

Pricing

Optimizely offers custom enterprise pricing for its Digital Experience Platform. Specific pricing details are not publicly listed and require direct contact with their sales team.

For detailed pricing inquiries, prospective customers are directed to the Optimizely pricing page to request a quote.

Common integrations

• Google Analytics: Integration for sending experiment data to Google Analytics for unified reporting and deeper analysis Google Analytics documentation.
• Adobe Analytics: Connects experiment results with Adobe Analytics for comprehensive customer journey insights.
• CRM Systems (e.g., Salesforce): Integration to leverage customer data from CRM for audience segmentation and personalized experiences.
• Marketing Automation Platforms (e.g., HubSpot): Connects with marketing automation tools to align experimentation with campaign workflows HubSpot Optimizely integration guide.
• Data Warehouses & CDPs: Integrations with data warehouses and Customer Data Platforms (CDPs) for advanced data analysis and audience syncing.
• Tag Management Systems (e.g., Google Tag Manager, Tealium): Facilitates deployment and management of Optimizely snippets and other tags Tealium Optimizely integration.
• E-commerce Platforms (e.g., Shopify, Magento): Provides deep integration for optimizing product pages, checkout flows, and promotions Shopify experimentation documentation.

Alternatives

• VWO: Offers A/B testing, personalization, and conversion optimization tools, often positioned for businesses seeking a comprehensive but potentially more accessible suite.
• Adobe Target: Part of Adobe Experience Cloud, providing AI-powered personalization and experimentation capabilities for enterprise clients.
• Google Optimize: A free A/B testing and personalization tool, integrated with Google Analytics, suitable for small to medium-sized businesses.
• Sitecore: A DXP offering CMS, e-commerce, and marketing automation with personalization features, often compared for its breadth of capabilities.
• Dynamic Yield (now a Mastercard company): Specializes in personalization, recommendations, and A/B testing across various channels.

Getting started

To begin using Optimizely's experimentation platform, you typically embed a JavaScript snippet on your website. This snippet initializes the Optimizely client and allows you to define and activate experiments. For server-side or more complex client-side applications, SDKs are available. The following JavaScript example demonstrates a basic implementation for running an A/B test.

// Example using Optimizely's Web Experimentation JavaScript snippet
// This code assumes the Optimizely snippet has already been loaded on the page.

// Initialize Optimizely (often done automatically by the snippet)
// For advanced use cases, you might manually initialize with specific options.

// Define an experiment and variation logic
window.optimizely = window.optimizely || [];

function runExperiment() {
  // Check if Optimizely is ready
  if (window.optimizely.get) {
    const experimentKey = 'my_first_experiment';
    const variation = window.optimizely.get('state').getVariation(experimentKey);

    if (variation) {
      console.log(`User is in variation: ${variation.name}`);

      // Apply changes based on the assigned variation
      if (variation.key === 'variation_a') {
        // Code for Variation A
        document.getElementById('headline').innerText = 'Welcome to our improved site!';
        document.getElementById('call-to-action').style.backgroundColor = 'blue';
      } else if (variation.key === 'variation_b') {
        // Code for Variation B
        document.getElementById('headline').innerText = 'Experience the difference!';
        document.getElementById('call-to-action').style.backgroundColor = 'green';
      } else if (variation.key === 'control') {
        // Code for Control group
        document.getElementById('headline').innerText = 'Welcome to our site!';
        document.getElementById('call-to-action').style.backgroundColor = 'red';
      }
    } else {
      console.log('User not included in the experiment or experiment not active.');
    }
  } else {
    // Optimizely not yet loaded, retry or handle gracefully
    console.log('Optimizely not ready, retrying in 100ms...');
    setTimeout(runExperiment, 100);
  }
}

// Ensure the DOM is loaded before attempting to modify elements
document.addEventListener('DOMContentLoaded', () => {
  // For Optimizely Web Experimentation, the snippet typically handles activation.
  // If using a custom implementation or server-side SDK, manual activation might be needed.
  // For client-side, wait for Optimizely to be ready.
  window.optimizely.push({
    type: 'addListener',
    filter: { type: 'lifecycle', name: 'activated' },
    handler: () => {
      runExperiment();
    },
  });

  // Fallback for cases where 'activated' event might not fire immediately or for direct calls
  if (window.optimizely.get && window.optimizely.get('state').getExperiment('my_first_experiment')) {
    runExperiment();
  }
});

This example demonstrates how to check the assigned variation for a user and apply corresponding changes to the webpage. The optimizely.push method is used to add a listener for the 'activated' lifecycle event, ensuring that experiment logic runs only after Optimizely has determined the user's variation. For server-side implementations, the process involves initializing an Optimizely client with a project's SDK key and then calling methods to decide variations and track events, as detailed in the Optimizely developer documentation.