Boost is a conversion rate optimization (CRO) platform for Shopify. These FAQs cover how Boost lifts conversion, AOV, and revenue per visit through AI search, filters, recommendations, and merchandising, plus setup, pricing, integrations, and support.
Boost is a conversion rate optimization (CRO) platform for Shopify and Shopify Plus that turns product discovery into revenue through AI search, filters, recommendations, and merchandising. It has driven over $16 billion in sales for 14,000+ brands.
No. Standard setup is no-code through Shopify Theme App Extensions; you only need a developer for heavy customization or non-standard theme templates, and the Boost team helps either way.
Most stores go live the same day, configured from one dashboard. Connecting add-ons like REVIEWS.io takes about an hour.
Yes, a 21-day free trial with all features and full support, no card required to start.
Shopify and Shopify Plus, including Shopify B2B and Combined Listings. Rated 4.7 on the Shopify App Store and 4.8 on G2.
Six conversion levers in one platform: AI search, filters, recommendations, merchandising, analytics, and integrations. Running them on one data model is what makes it a CRO platform, not a point app.
Shopify's built-in tools are basic keyword matching that lets shoppers drop off. Boost adds semantic search, synonym detection, metafield filtering, and merchandising, all aimed at converting more visitors.
It removes friction between shopper and product: accurate search, precise filters, no-results recovery, relevant recommendations, and merchandising that surfaces what sells. Each lever compounds, so you convert more without buying more traffic.
Yes, for search relevance, personalized results, and recommendation models that retrain continuously, all tuned to move shoppers toward purchase. You keep control of merchandising strategy.
Both. Converting your existing traffic matters at any size; smaller stores lean on search and recommendations, larger ones add semantic search and merchandising at scale.
Yes, with typo tolerance, partial-term matching, and clean handling of characters like hyphens and slashes. Shoppers can also search by numeric values like size or price.
Instead of a dead end, Boost shows popular terms and product suggestions to keep shoppers moving toward a purchase. It recovers revenue you'd otherwise lose.
Yes. You control which products surface and can pin best-sellers or high-margin items, plus add quick links like "cocktail dresses" when someone types "dress".
Boost searches eight fields (Title, Product type, Vendor, Tags, Options, SKU, Barcode, Description) and lets you set the weight of each, including metafields. Lower-weight or switch off fields that skew relevance.
Results are instant as shoppers type, and your catalogue auto-syncs roughly every 10 minutes, or on demand with a manual sync.
Yes, plus collection, size, colour, price, ratings, discounts, and availability. Metafield filtering maps to your Shopify metafields, so you can build filters Shopify's native tools can't.
Yes, custom filter trees per collection and results page, with up to 30 filter options each and a Default tree covering the rest.
Both. OR by default, with AND available for tag and multi-level tag filters for precise narrowing.
It's built for scale and keeps filtering fast where native Shopify slows. Capacity scales with your plan rather than a fixed cap.
Yes, shortened canonical URLs protect SEO. You get vertical, horizontal, and off-canvas layouts with swatches, range sliders, and value grouping.
AI and ML analyse product attributes and shopper behaviour to power "Frequently Bought Together" and "Related Items", retraining continuously for sharper suggestions.
Frequently Bought Together, Related Items, Recently Purchased, Bestsellers, Most Viewed, Recently Viewed, Newest Arrivals, Trending, and Hand-picked, each mapped to a stage of the funnel.
Yes, for full control or a specific merchandising story, and you can mix hand-picked with AI-driven widgets.
Fallback models keep widgets populated until Boost gathers enough signal, then the AI models take over automatically.
Yes, via Shopify Checkout Extensions, and Predictive Bundles target over a 20% uplift in AOV.
Pin, Promote, Demote, and Hide, so you control exactly how products rank in collections and search.
Yes, via Product Visibility rules reading live Shopify inventory, keeping buyable products in front.
Yes, rules can be scheduled to activate and expire automatically, so peak-season merchandising runs itself.
Yes, so you can prove which product ordering drives more revenue instead of guessing.
Yes, through condition groups, for example "promote 'new-season' tagged products and hide zero-stock items".
Search insights plus page, widget, and product performance, all in the Boost dashboard.
Yes, including top terms and no-results queries, a direct roadmap for merchandising and product decisions.
Track search conversion rate, no-results rate, widget-attributed revenue, and product performance before and after changes.
Yes, Boost adds the discovery-specific view GA4 lacks, like no-results and widget-level conversion.
Fix your top no-results queries first; it recovers conversions you're losing now and usually pays back within days.
Review apps (REVIEWS.io, Okendo, Loox, Yotpo, Judge.me, Stamped), email/SMS (Klaviyo, Attentive), helpdesk (Gorgias), plus multi-currency, multi-language, and page-builder tools.
It feeds discovery signals into Klaviyo flows and can improve Klaviyo email conversions by up to 20%.
It pipes verified review data into search, filters, and merchandising so shoppers can filter by what buyers said. Requires both a Boost and REVIEWS.io subscription.
Yes, with global selling support and currency/language switcher integrations.
Native Gorgias, Klaviyo, and Attentive integrations exist; HubSpot, AB Tasty, Optimizely, and Shopify POS are not native today, so check with the Boost team.
Yes, with dedicated switching support and comparison guides. McPhail's Furniture lifted AOV after switching from Searchspring.
No. Boost is configured and previewed before you publish, so there's no downtime.
Deeper metafield filtering, no-code setup, responsive support, and better value than legacy or bolt-on tools.
Yes, consolidating search, filters, recommendations, and merchandising into one CRO platform and one bill.
No, filter trees and settings are preserved, and the team can transfer them between stores.
GMV-based, across three packages (Launch, Convert, Accelerate) plus Enterprise, recommended automatically from your Base GMV.
Your average gross merchandise value over the past three months (sales before discounts, shipping, tax, or returns), calculated from your Shopify order data.
An overage of $2 per $1,000 over the limit applies, capped and charged once that month, and you can upgrade anytime.
Feature access scales by package, so advanced AI is tied to specific tiers, check the pricing page for the exact split.
Some depend on your package, and trust-based discovery needs a separate REVIEWS.io subscription. Your 21-day trial includes everything.
No. Boost loads through Theme App Extensions, and its Boost Turbo version further optimises storefront speed.
It's built to keep discovery fast without hurting Core Web Vitals, and canonical filter URLs protect SEO.
An optimised index handles scale where native Shopify slows; matching your plan to your catalogue keeps it running full speed.
Yes, it's built for high-traffic events, and scheduled merchandising executes automatically. Live uptime is on the status page.
Via Theme App Extensions, so widgets embed cleanly into Online Store 2.0 themes; Boost Turbo keeps installs fast and upgrade-safe.
The team handles install, configuration, and widget placement so you go live properly, not just installed.
Yes, plus tutorials and a help centre for self-serve setup.
Responsive live chat (a recurring review highlight), a help centre, video tutorials, and a Developer Hub.
Yes, a Developer Hub with technical guidelines, though standard setup needs no developer.
Yes, Boost supports customisation to match your theme, with team help for advanced work.
