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Data flow: LinkedIn ? BigCommerce
When a prospect submits a LinkedIn Lead Gen Form from a sponsored campaign, the lead data can be pushed into BigCommerce as a new customer record or B2B account inquiry. Sales and marketing teams can use this to capture high-intent prospects from LinkedIn campaigns and quickly route them into commerce follow-up workflows.
Business value: Reduces manual lead entry, shortens response time, and improves conversion from LinkedIn advertising into active commerce opportunities.
Data flow: BigCommerce ? LinkedIn
Purchase history, order frequency, and product category data from BigCommerce can be used to build more precise LinkedIn audience segments for retargeting and account-based marketing. This helps marketing teams target existing customers, repeat buyers, and high-value accounts with relevant LinkedIn campaigns.
Business value: Improves ad relevance, increases return on ad spend, and supports more targeted lifecycle marketing.
Data flow: LinkedIn ? BigCommerce
Engagement signals from LinkedIn such as company page follows, post interactions, and ad engagement can be used to prioritize B2B accounts in BigCommerce. Sales and account management teams can identify which companies are actively engaging with the brand and tailor outreach or pricing strategies accordingly.
Business value: Helps commercial teams focus on accounts showing buying interest and improves alignment between marketing and sales.
Data flow: Bi-directional
Campaign identifiers from LinkedIn can be passed into BigCommerce order records so revenue can be attributed back to specific LinkedIn ads, audiences, or content campaigns. This gives marketing and finance teams a clearer view of which LinkedIn initiatives drive actual sales, not just clicks or leads.
Business value: Enables accurate ROI measurement and better budget allocation across LinkedIn marketing programs.
Data flow: LinkedIn ? BigCommerce
Sales teams using LinkedIn Sales Navigator can identify decision-makers, track job changes, and monitor account activity, then use that intelligence to support BigCommerce account planning and outreach. This is especially useful for B2B commerce businesses selling negotiated pricing, bulk orders, or contract-based purchasing.
Business value: Improves sales effectiveness and helps teams engage the right stakeholders at the right time.
Data flow: LinkedIn ? BigCommerce
For organizations using BigCommerce to support employee purchase programs, partner portals, or internal commerce experiences, LinkedIn recruitment campaigns can drive qualified applicants into related onboarding or purchasing workflows. This is useful for retail, franchise, or distributed workforce models where hiring and commerce processes are connected.
Business value: Streamlines hiring-adjacent commerce processes and supports a more connected employee experience.
Data flow: LinkedIn ? BigCommerce
When LinkedIn posts, articles, or sponsored content generate strong engagement around a product category, that engagement data can be used to trigger merchandising or promotional updates in BigCommerce. Marketing and ecommerce teams can quickly promote the most resonant products or bundles on the storefront.
Business value: Aligns social content performance with ecommerce merchandising decisions and improves campaign responsiveness.
Data flow: BigCommerce ? LinkedIn
Customer lifecycle events from BigCommerce such as first purchase, repeat purchase, cart abandonment, or high-value order completion can be sent to LinkedIn to refine retargeting and nurture campaigns. This allows marketing teams to deliver more relevant messaging based on where the customer is in the buying journey.
Business value: Increases conversion efficiency, improves customer retention, and supports more personalized lifecycle marketing.