E-Commerce Software Resources

Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on E-Commerce Software

Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.

Contents

E-Commerce Software Articles

What Is Social Commerce, and Why We Created a New Category for It

The fact that social media is critical for e-commerce is obvious. There are billions of users on social media platforms, and many of them buy online. It is estimated that the number of social media users worldwide will reach 5.85 billion by 2027. In addition, sellers also use social media to share and promote their products—the value of social commerce sales worldwide is estimated at 2.9 trillion dollars by 2026.

by Gabriel Gheorghiu

COVID-19 Drives E-Commerce Growth for Brick and Mortar Retailers

The coronavirus pandemic has compelled consumers to stay home in quarantine, driving some brick and mortar stores to either move online or adopt a combination of both in-store (curbside pickup) and online sales methods for the first time.

by Nathan Calabrese

E-Commerce Software Glossary Terms

Customer Experience Management

Customer experience management (CXM) prioritizes personalized experiences at every customer interaction. Learn more about its benefits for businesses.

by Holly Landis

Headless CMS

A headless content management system is back-end software that allows connection to any presentation layer via application programming interfaces (APIs.)

by Kelly Fiorini

Go-to-Market Strategy

A go-to-market strategy is an all-encompassing plan for launching a new product or service. Learn how to create a GTM strategy and why it’s important.

by Holly Landis

E-Commerce Software Discussions

What are the best mobile retail solution with analytics, marketing tools, and customer engagement features?

A storefront that sells products but can't tell a retailer which products or campaigns are actually driving revenue is only doing half the job. Here's what reviewers in the E-Commerce Platforms category say about that fuller feature set:

Shopify: Reviewers cite built-in analytics and a large app marketplace for marketing and customer engagement tools, letting retailers add capability as needed.
BigCommerce: Reviewers cite native marketing and SEO tools built into the core platform, reducing the number of separate apps needed.
Salesforce B2C Commerce: Reviewers cite deep personalization and engagement tools, particularly for retailers already invested in the broader Salesforce ecosystem.

For retailers relying on native analytics rather than a bolted-on third-party tool, has anyone found the built-in reporting sufficient to skip a dedicated analytics platform entirely?

Shopify's built-in analytics has actually been sufficient for us, enough that we never felt the need to add a dedicated analytics platform on top. The app marketplace covers the marketing side well enough that stacking another tool felt redundant.

Answered: Krithika Sathyamoorthy on September 18, 2026

Your answer

What are the best mobile e-commerce platform for selling products and managing online retail operations to support growing teams?

A growing retailer usually outgrows its mobile storefront later than it outgrows the operations behind it. The real requirement is being able to manage products, orders, inventory, promotions, customers, and storefront changes without the phone experience becoming a separate commerce system. Three obvious platforms to compare are:

Shopify: particularly strong for growing brands that want storefront, orders, inventory, payments, apps, and mobile administration around the same commerce platform.
BigCommerce: worth comparing as catalog complexity and multi-channel commerce become more important as the business scales.
Wix: more approachable for smaller teams that need commerce alongside website and marketing management without a large implementation.

For retailers managing the business partly from a phone, which tasks actually need to work well on mobile: fulfillment, inventory, customer service, promotions, or site edits?

I’d compare how well each handles mobile order management, inventory updates, refunds, promotions, and customer issues before worrying about how much of the site itself can be edited from a phone.

Answered: Darshayita Thakur on September 16, 2026

Your answer

Which e-commerce fraud protection software is most trusted by financial institutions based on user reviews?

I’m looking into which e-commerce fraud protection software financial institutions seem to trust most based on user reviews. For this one, I focused on financial services users and the trust signals that matter most in fraud workflows: identity confidence, false-positive control, investigation context, and support.

A few patterns from the G2 Grid report for E-commerce Fraud Protection caught my attention.

For device and account risk:

Fingerprint: Financial services reviewers highlight device intelligence for spotting suspicious accounts and repeat fraud.

For broader fraud screening:

SEON: Users mention email, phone, identity, and behavioral signals for onboarding and transaction checks.

For KYC and identity verification:

Shufti: Banking and financial-services reviewers point to KYC, AML, document checks, and responsive support.

For investigation context:

Sift: Reviewers mention transaction details, linked accounts, IP data, and risk signals that support investigations.

For reducing manual review:

Mastercard Identity Review 360: Reviews mention consolidated identity data and less decision fatigue.

What seems to build trust is not just detection accuracy. It’s whether analysts can understand why something was flagged and act quickly without adding friction for legitimate users.

For financial-services teams, which of these matters most day to day: explainable signals, fewer false positives, faster investigations, or dependable support?

My read is that fewer false positives tends to matter most day to day, just because that's the thing analysts feel constantly, every legitimate customer they accidentally block chips away at trust in the system a little more than a missed fraud case does. Explainable signals matter almost as much, but mostly because they're what let an analyst act on a flag quickly instead of second-guessing it, so the two end up reinforcing each other rather than competing for the top spot.