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Shogun

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Build high-converting pages, test smarter, turn visitors into customers.

freemium· for mid-market

Shogun lets merchandising and growth teams build landing pages, PDPs, and campaign templates visually, then run A/B tests and personalization rules without waiting on developer cycles. Its AI Section Builder generates page blocks from prompts, while Smart Pages swap content based on visitor segment. The buyer is typically a Shopify or BigCommerce DTC brand whose marketing team owns conversion rate and wants to ship landing pages faster than the theme edit queue allows.

> pick this if

Pick this if you're a Shopify or BigCommerce DTC brand whose marketing team owns CVR and needs to ship landing pages and PDP variants without burning dev cycles.

> look elsewhere if

Look elsewhere if you're on a custom headless stack, run Salesforce Commerce Cloud or Magento, or need statistically rigorous experimentation at the level of Optimizely or VWO.

> Shogun is built for

  • platform-agnostic

> how you'd use it

  • Shopify Plus DTC apparel brand, $10M–$30M GMV, 4-person marketing team with no dedicated front-end dev
    Growth lead ships weekly paid-social landing pages for TikTok and Meta campaigns, using the AI Section Builder to draft hero and bundle blocks, then A/B tests headline and offer variants against the theme's default PDP
    → Cuts landing page production from ~5 days in the dev queue to same-day, and lifts paid-traffic CVR 15–25% on tested variants
  • BigCommerce health & wellness brand, $3M–$8M GMV, 2 marketers plus one contract designer
    Team uses Smart Pages to swap hero imagery and social proof by referral source (influencer vs. paid search vs. email) without cloning URLs
    → Consolidates 12+ duplicate campaign pages into a single personalized template, reducing SEO cannibalization and cutting page-maintenance time roughly in half
  • Shopify DTC home goods brand, $20M–$60M GMV, merchandising team of 6
    Merchandisers build seasonal collection pages and editorial PDPs for product launches, running structured A/B tests on layout and content blocks before promoting winners to evergreen templates
    → Establishes a repeatable test cadence of 2–3 concurrent experiments with documented lift, replacing ad-hoc Figma-to-dev handoffs

> Shogun use cases

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