Many digital catalogs still prioritize visual design over shopper behavior, limiting their ability to drive conversions.
Digital product catalogs have evolved far beyond static online brochures. What once mirrored print layouts can now support interactive shopping, analytics, and even in-catalog purchasing. Yet many brands still approach catalogs with a print-publishing mindset, leaving them largely unchanged for an entire season.
If a product spread fails to convert or a featured item sells out quickly, many retailers struggle to adapt their catalogs in real time by replacing weak-performing products or redirecting shoppers toward available inventory.
Janina Moza, CMO of Flipsnack, said many marketers still treat digital catalogs like brochures rather than shopping tools. They focus heavily on the photography, typography, and page-flipping experience.
“The actual path to purchase is, ‘Okay, now go find this on the website yourself.’ That’s a lot to ask of a shopper,” she told the E-Commerce Times.
From Static PDFs to Interactive Shopping
Table of Contents
According to digital analytics firm Kissmetrics, mobile devices account for nearly 70% of global online shopping traffic, but conversion rates are significantly lower than on desktop. Many visually dense catalogs still perform poorly on smaller screens and slower mobile connections. Impatient shoppers bounce before even seeing the products.
Digital catalogs increasingly support embedded shopping and in-catalog checkout, eliminating the need to redirect shoppers to separate product pages.
Moza argues that catalogs designed primarily like digital magazines may support brand awareness but often fail to drive purchases efficiently. Newer catalog platforms increasingly focus on shopper engagement and conversion performance rather than static presentation.
“The way we think about it is that the catalog has to be designed backward from the click. Start with where you want the shopper to end up, which is buying something, and work the experience back from there. That single reframe changes almost everything about how a catalog gets built,” she said.
When marketers analyze their catalog success, they often lean on total views. Those metrics can be misleading. Instead, marketers should look at average time spent in the catalog, where viewers drop off, and which shoppable elements they click.
Moza sees catalogs with 50,000 views and 12 clicks, and others with 3,000 views and 400 clicks. The catalog with fewer views may ultimately drive more revenue.
“Views are the start of the story, not the proof of it,” she observed. “All views really tell you is that someone opened the file. It doesn’t tell you whether they read it, enjoyed it, or bought anything.”
Catalog Metrics Often Mislead
Traditional digital publishing tools often provide little insight into actual shopper behavior. A PDF or a basic flipbook registers the opening and maybe an aggregate time on a page, but little else, explained Moza. Marketers cannot tell which spreads held attention, which ones got skipped, whether someone lingered on the new arrivals, or turned to the sale section.
“A shopper who tapped on three products and nearly completed a purchase, and a shopper who never engaged at all, look identical in your dashboard. That’s a really hard place to make decisions from,” she said.
Those limitations are one reason newer catalog platforms place greater emphasis on engagement analytics. Retailers cannot optimize a commerce experience using the limited analytics of a brochure download.
Moza said retailers need to treat catalogs as adaptable commerce tools, making changes during campaigns based on shopper engagement and sales performance.
“Interactive catalogs aren’t locked, and they’re not sent to the printer. You’re allowed to change them. If a spread isn’t working, swap it. Change the image, rewrite the headline, move it to a different position in the flow, or replace the whole thing with content that’s already testing well somewhere else,” she urged.
Designing Catalogs Around Shopper Behavior
According to Moza, many retail teams avoid making mid-season design changes because traditional tools make editing feel like a project. If a landing page were not converting, they would have a new version up almost immediately.
“The same thinking applies here, and the brands that really embrace that tend to see three to five times the conversion rate of their peers. Same product, same audience, just a willingness to keep editing,” she said.
Moza said engagement data can reveal which products and layouts appeal to different customer groups. Once retailers understand how shoppers interact with specific pages and products, campaign designers can begin building catalog variants for different audiences.
Those variations can make catalogs more relevant to different types of shoppers. One version can lean into new arrivals for loyal customers. Another can target bestsellers and discounts for first-time visitors. Retailers can also tailor catalogs around specific product categories or shopper interests.
“Same source content, just recombined thoughtfully, and you end up with five catalogs that each outperform the generic one,” she added.
Turning Engagement Data Into Sales
Moza said the technology behind interactive catalogs has existed for years. The bigger challenge for retailers is acting on engagement data quickly enough to improve campaign performance while a catalog is still live.
She noted that many retailers already collect shopper behavior data but continue to treat catalogs as fixed seasonal assets rather than adaptable commerce tools.
Moza pointed to one retailer example:
A home goods brand was initially thrilled when its 60-page holiday catalog set a company record for total views. Flipsnack analyzed the engagement data and found that the average reader dropped off around page nine. They built the entire Q4 campaign around a “hero spread” on page 22 that almost nobody saw, while an overlooked accessories section near the front was quietly driving the most clicks.
The brand restructured in mid-campaign. Marketers moved the high-performing accessories forward. They pulled the unseen hero items into a targeted re-engagement email and trimmed the overall catalog. As a result, their conversion rate tripled over the second half of the season using the same audience.
The strong view count initially appeared successful, but the engagement data revealed that most shoppers never reached the campaign’s featured products.
The disconnect highlighted how traditional catalog metrics can create a false sense of success when retailers prioritize views over genuine shopper engagement.
