In today’s marketplace, consumers face an overwhelming abundance of choices, which poses significant challenges for customers and retailers.

So, what can retailers do to help consumers navigate so many options? Choosing the right product discovery solution can single-handedly improve the experience on digital channels. By combining intelligent merchandising capabilities, semantic search and personalized recommendations, retailers can deliver seamless, intuitive and relevant shopping experiences that convert.

It’s a safe bet that when you switch from texting someone to checking your email, you don’t become an entirely different person. Nor does your personality change radically when you switch from email to Instagram. Yes, you may have specific marketing preferences distinct to each channel. But it’s the same you using each of them.

Despite this obvious fact, the channel-centric marketing model has long been dominant. 

Fashion and apparel brands face escalating acquisition costs and changing consumer spending habits. These shifts underscore the need for brands to attract new high-value shoppers and continue building long-term relationships with existing customers.

Instead of employing a broad, one-size-fits-all approach, leading fashion brands strategically invest in promotions that tie back to profitability — without compromising the brand’s image.

In this ebook you’ll learn how landing page A/B testing can help you reach your marketing goals (without adding a ton of work to your already overloaded plate). By developing a testing mindset, you’ll be in a better position to let data guide your decisions and explore more creative (and potentially lucrative) concepts.

We’ve compiled a handy list of 20 things you can start A/B testing with landing pages to improve conversions and get better results.

How generative artificial intelligence will transform online shopping is a hot topic in e-commerce. One year after generative AI started to dominate headlines, what have we learned about its real impact on e-commerce? This article presents findings from iAdvize’s inaugural Barometer of Generative AI in E-Commerce — a report that uses first-party data to share lessons from brands that already use generative AI in the customer experience.

Online forms are one of the key ways your target audience can initiate a connection with you. Web forms come in all shapes and sizes and have a wide range of use cases. Businesses can create them to allow users to request callbacks and sign up for newsletters, or even advanced use cases like automatically generating a quote or processing an order.

Choosing the correct type of form and then optimizing it for your audience and goals will increase form conversion rates. With more people using your forms, you’ll get more of the inquiries, orders, and sign-ups that will grow your business. 

A critical fit implementation strategy that personalizes the retail experience to drive conversion and reduce returns. Apparel brands can benefit enormously from a meaningful sizing strategy to scale their business, attract and retain more customers, increase AOV and conversion, and significantly reduce return rates to improve revenue. This guide provides an actionable outline around supercharging sizing, the steps to implement it, and the metrics for success.

This white paper addresses how prioritizing a fit strategy using AI solutions can help apparel businesses increase conversion and boost average order value (AOV) during the holidays, and reduce costly returns in the months after.

Highlights:

How Apparel Businesses Can Use AI to Prepare for the Holiday Rush

Choosing the Best Fit Solution

4 Ways to Leverage Fit Data To Increase Profits and Decrease Returns During the Holidays — and Beyond