In short: 4over4, a US online printing store, had steady traffic but too few completed orders. Netbase JSC analyzed the buying journey, then shortened checkout, improved search and navigation, automated Adobe Illustrator (.ai) to SVG file conversion and added product recommendations. 4over4 reported 82% more e-commerce revenue and a 48% higher conversion rate.
At a glance
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Client
4over4 (4over4.com), an online printing store established in 1999
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Region
United States
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Industry
Printing and packaging (business cards, banners, packaging)
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Service
E-commerce development and conversion optimization
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Solution
Web-to-print platform improvements
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Scope
Checkout redesign, search and category structure, Adobe Illustrator (.ai) to SVG file conversion, recommendation engine, mobile optimization
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Stack
The storefront platform is not named in the published case study
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Results period
Within six months of implementation
Client and operating context
4over4 sells printed products to businesses and individuals, from business cards to banners and packaging. The brand was well known and the team had invested heavily in traffic acquisition. The problem was what happened after the visit: many shoppers browsed the catalog and left without buying.
Challenge and baseline
- High traffic with a low e-commerce conversion rate and frequent cart abandonment.
- A long checkout and hard-to-navigate catalog added friction to every order.
- Design templates and file conversion were manual, which slowed turnaround.
- The team could see the loss but could not locate where customers dropped off.
The case study does not publish baseline conversion or revenue figures.
Success criteria
- Fewer abandoned carts and a faster checkout.
- Quicker product discovery across a large catalog.
- No manual bottleneck between a finished customer design and production.
- A consistent buying experience on mobile devices.
Netbase's role and approach
Netbase JSC started with a behavioral analysis of the buying journey to find the friction points, then built a data-driven optimization plan around them. Every change was tied to an identified drop-off rather than a general redesign. The team composition is not published in the case study.
Implementation and deliverables
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Checkout
Fewer steps and autofill to shorten each transaction.
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Navigation and search
Restructured product categories and optimized search.
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Illustrator-to-SVG conversion
Automated conversion of Adobe Illustrator (.ai) design files to SVG, so customers can finalize designs without waiting for manual adjustments. This is file-format automation, not artificial intelligence.
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Recommendations
A recommendation engine based on browsing history and previous purchases, the project's AI feature.
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Mobile
Responsive browsing and purchasing across screen sizes.

Results
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E-commerce revenue
Up 82% within six months of implementation.
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Conversion rate
Up 48% within the first few months.
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Average order value
Up 35%, attributed to recommendations and a faster customization process.
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Design-file production time
Down 40% after the Illustrator-to-SVG file automation.
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Templates
More than 200 new design templates created in three months.
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Order fulfillment time
Down 50%.
Method and limitations: figures were reported by 4over4 and published in the original case study on netbasejsc.com. Baselines and measurement tools were not published, and the results reflect all changes together rather than any single feature.
In the client's words
"They didn't just make changes blindly. Every decision was backed by data, and every adjustment had a clear purpose."
A project manager at 4over4 (name not published)
Video published with the original case study:
Lessons
Conversion gains came from fixing the order path and the design-file operation together. A faster checkout helps only if a customer's finished design can move to production without a manual hand-off.
Related: E-commerce development, Web-to-print platform, Printing and packaging and Web-to-print implementation checklist.
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