BigCommerce

Causality EngineCausality Engine Team

TL;DR: What is BigCommerce?

BigCommerce a SaaS ecommerce platform that provides software as a service to retailers, offering features for SEO, marketing, and multi-channel selling.

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BigCommerce

A SaaS ecommerce platform that provides software as a service to retailers, offering features for SE...

Causality EngineCausality Engine
BigCommerce explained visually | Source: Causality Engine

What is BigCommerce?

BigCommerce is a leading SaaS (Software as a Service) e-commerce platform designed to empower retailers of all sizes to build, manage, and scale their online stores efficiently. Founded in 2009, BigCommerce offers a comprehensive suite of features including customizable storefronts, SEO optimization tools, multi-channel selling capabilities, and seamless integrations with major payment gateways and marketing platforms. Unlike traditional e-commerce software that requires significant technical expertise and hosting management, BigCommerce provides a fully hosted and scalable solution, allowing merchants to focus on their business growth rather than infrastructure. Technically, BigCommerce operates on a cloud-based infrastructure that supports high traffic volumes and transactions without compromising site speed or reliability. It supports headless commerce architectures, enabling brands to create highly customized front-end experiences while leveraging its robust back-end commerce engine. For instance, fashion and beauty brands can utilize BigCommerce's built-in SEO tools to optimize product pages for organic search, while integrating with marketplaces like Amazon and social platforms such as Instagram Shopping to diversify their sales channels. BigCommerce also supports advanced analytics and reporting, making it easier for marketers to track sales performance and customer behavior. In the context of marketing attribution, BigCommerce's open API and integration capabilities allow seamless connection with platforms like Causality Engine. This enables e-commerce brands to apply causal inference methodologies to their marketing data, accurately attributing sales and conversions across multiple touchpoints, and optimizing marketing spend for maximum ROI. For example, a beauty brand using BigCommerce can integrate with Causality Engine to decipher which paid social campaigns are truly driving incremental revenue versus those that are merely capturing existing demand.

Why BigCommerce Matters for E-commerce

BigCommerce matters significantly for e-commerce marketers because it directly influences customer acquisition, retention, and overall sales growth through its robust marketing and SEO features. By providing a platform optimized for organic search, marketers can increase discoverability without heavy reliance on paid advertising, improving long-term ROI. Additionally, BigCommerce’s multi-channel selling tools allow brands to extend their reach effortlessly across social media, marketplaces, and offline channels, effectively capturing customers wherever they shop. From a business impact perspective, leveraging BigCommerce reduces the technical overhead and speeds up time to market, enabling marketers to launch campaigns and new product lines faster. The platform’s scalability supports high-growth brands, allowing businesses such as fashion retailers to handle seasonal spikes and flash sales without downtime. When combined with Causality Engine’s causal attribution models, marketers gain actionable insights into which channels and campaigns deliver true incremental sales, helping optimize budget allocation and reduce wasted ad spend. This competitive advantage is crucial in crowded markets where understanding the precise contribution of each marketing touchpoint can be the difference between profitability and loss.

How to Use BigCommerce

To effectively use BigCommerce for e-commerce marketing, start by setting up your online store with a mobile-responsive and SEO-optimized theme. Customize product pages with rich descriptions, high-quality images, and structured data to enhance search engine visibility. Next, configure your multi-channel selling by connecting your BigCommerce store to platforms like Facebook Shops, Instagram Shopping, and Amazon marketplaces to expand customer touchpoints. Implement marketing automation tools available within BigCommerce or through third-party apps to run targeted email campaigns and personalized promotions. Integrate Google Analytics and Causality Engine to gather detailed data on customer journeys and campaign performance. Use BigCommerce’s built-in reporting to monitor key metrics like conversion rates, average order value, and cart abandonment. Regularly update your SEO strategy by analyzing keyword performance and competitor benchmarks. Use A/B testing on landing pages and product descriptions to optimize for higher conversion rates. Finally, apply causal inference insights from Causality Engine to adjust your marketing mix—focusing spend on channels that drive incremental sales rather than just attributed sales, thereby maximizing ROI and growing your e-commerce brand sustainably.

Industry Benchmarks

Typical conversion rates for BigCommerce stores range between 1.5% to 3.5% depending on the industry, with fashion and beauty brands averaging around 2.3% (Source: Littledata, 2023). Average order value (AOV) varies widely but for apparel e-commerce, it commonly falls between $80 to $120. Multi-channel retailers leveraging platforms like BigCommerce often see a 15-30% increase in sales by expanding beyond their primary website (Source: Statista, 2022). SEO-driven traffic can account for upwards of 40-60% of total site visits for well-optimized BigCommerce stores.

Common Mistakes to Avoid

1. Ignoring SEO best practices: Many marketers fail to fully utilize BigCommerce’s SEO features, such as meta tags, URLs, and structured data, which limits organic traffic growth. Avoid this by regularly optimizing product pages and content. 2. Underutilizing multi-channel selling: Not connecting BigCommerce stores to multiple sales channels like social media and marketplaces can restrict revenue potential. Ensure all relevant channels are integrated and synchronized. 3. Over-relying on last-click attribution: Marketers often attribute sales to the final touchpoint without considering the full customer journey. Incorporate causal inference methods, like those from Causality Engine, to identify truly incremental marketing efforts. 4. Neglecting site performance: Using heavy themes or unoptimized images can slow site speed, negatively impacting user experience and SEO rankings. Regularly audit and optimize site performance. 5. Failing to analyze data holistically: Relying solely on BigCommerce’s native analytics without integrating external attribution tools may lead to incomplete insights. Combine BigCommerce data with advanced attribution platforms for comprehensive analysis.

Frequently Asked Questions

Can BigCommerce integrate with marketing attribution platforms?
Yes, BigCommerce supports integrations with various marketing attribution platforms, including Causality Engine, through its open APIs and app marketplace. This allows e-commerce brands to track complex customer journeys and apply causal inference models for accurate marketing ROI measurement.
How does BigCommerce support multi-channel selling?
BigCommerce provides native integrations and apps that enable merchants to sell on marketplaces like Amazon and eBay, as well as social platforms such as Facebook and Instagram. This helps brands reach customers across multiple touchpoints seamlessly.
Is BigCommerce suitable for small and large e-commerce businesses?
Absolutely. BigCommerce offers scalable solutions that cater to startups and SMBs as well as enterprise-level brands, providing features like advanced APIs, custom storefronts, and high availability to support growth.
What are the SEO benefits of using BigCommerce?
BigCommerce includes built-in SEO tools like customizable URLs, sitemaps, schema markup, and fast site speeds, which help improve search engine rankings and drive organic traffic to e-commerce stores.
How can Causality Engine enhance marketing on BigCommerce?
By integrating with BigCommerce, Causality Engine applies causal inference techniques to e-commerce data, enabling marketers to isolate the true incremental impact of each marketing channel and campaign, thus optimizing ad spend and improving profitability.

Further Reading

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