1️⃣RevLifter
AI-powered incentives that deliver personalised offers at checkout and PDP to lift AOV and conversion fast. Plug it in, target by margin, and watch incremental revenue appear without heavy dev work.
- Pay-for-performance option
- Fast setup with Shopify and BigCommerce
- Real-time margin controls
- Built-in A/B testing and granular targeting
- Strong uplift in AOV and CVR
- Works best with moderate site traffic
- Rule-building can feel complex at first
2️⃣LoyaltyLion
Turn one-time shoppers into repeat buyers with tiers, points, and referrals that just work. Designed for UK brands wanting higher LTV and retention without reinventing the tech stack.
- Seamless Shopify/Shopify Plus integration
- On-brand widgets and emails
- Referral and VIP tiers boost repeat rate
- Actionable cohort analytics
- Prebuilt flows for Klaviyo and Attentive
- Meaningful results need consistent promotion
- Initial setup of tiers and rewards takes time
3️⃣Parcelhub
Multi-carrier delivery made simpler for scaling UK stores. Get better rates, proactive tracking, and human support without wrangling half a dozen couriers yourself.
- Access to negotiated carrier rates
- Proactive delivery tracking and alerts
- Dedicated UK support team
- Integrations with major marketplaces
- Volume thresholds may be required for best pricing
- Coverage strongest in UK and EU
- Onboarding can take a couple of weeks
4️⃣SparkLayer
Switch on serious B2B features inside Shopify: net terms, price lists, and quick order flows. Ideal for wholesalers who want B2B revenue without replatforming.
- Native Shopify theme integration
- Company accounts with buyer roles
- Price lists and MOQ rules
- Fast B2B ordering UX
- Primarily focused on Shopify
- Feature depth may not match full enterprise B2B suites
- Requires methodical setup and data hygiene
5️⃣Conjura
Forensic ecommerce analytics that surfaces where profit leaks—acquisition, operations, and product. Helpful when you need board-ready insights without hiring a data team.
- Clear profitability dashboards
- Cohort and SKU-level analysis
- Benchmarks against similar retailers
- Pricing fits funded or mid-market brands more than startups
- Implementation requires clean data and stakeholder time
- Limited hands-on customization without services add-ons