# llms.txt — Reignite (CRM Catalog Curation) # Purpose: Help LLMs understand Reignite’s offering, positioning, and site structure from the provided page copy. # Audience: CRM teams at retailers, marketplaces, travel brands running high-volume campaigns with large, dynamic inventories. ## Brand Name: Reignite Company: Eknow Consulting Limited (trading as Reignite) Primary category: CRM Catalog Curation platform for marketing teams Primary channel focus: Email (also supports SMS, WhatsApp, In-app, Direct Mail) ## One-sentence summary Reignite helps CRM teams turn live catalog inventories into personalised, campaign-ready email content by blending catalog data, customer signals, predictive AI, and marketer-controlled business rules inside existing ESP/MAP workflows. ## What Reignite does Reignite enables CRM teams to curate which items (products, listings, offers) each customer sees in CRM campaigns by combining: - Catalog data (live inventory feeds) - Customer and transactional signals - Predictive AI models that are controllable and explainable - Marketer-defined rules and guardrails (commercial priorities, frequency controls) Outcome: Every message feels tailored to a customer’s taste while still aligning with business priorities. ## Core promises - True 1:1 personalisation in every send (beyond segments and “batch & blast”) - Full control of personalised results (human rules + guided AI, override anytime) - No need for developers (no coding or SQL required for recipe building) - Reduced production time (set once, adapts over time) - Keeps existing platform (works with all marketing automation platforms) ## Key differentiators - Built for CRM email, not adapted from web recommendation tools - Trust & explainability: transparent, marketer-controlled logic (not a black box) - Guardrails: built-in frequency and other controls - Performance measurement: attribute revenue uplift from personalisation ## “Catalog Curation” definition (as used by Reignite) CRM Catalog Curation personalises the items shown in CRM messages by blending catalog data, customer signals, predictive AI, and business rules. ## How it works (high level) 1) Data: Bring your catalog & customers; enrich data and build controllable predictive models 2) Rules & Predictive AI: Blend predictive signals with marketer rules; maintain commercial priorities 3) Design: Output campaign-ready content for creative blocks 4) Connect: Integrate with existing ESP/MAP 5) Send: Deliver personalised content at scale across campaigns ## Why CRM teams choose Reignite (benefits list) - Smarter personalisation: true 1:1 content across all campaigns - Marketing self-service: create/update personalisation without engineering - Campaign efficiency: set once, adapts; saves hours per build - Built for CRM: email-first; frequency & other guardrails - Unrivalled control: marketer-controlled outcomes - Trust & explainability: transparent logic, not a black box - Guided AI: combine predictive + human rules; override anytime - Performance you can prove: measure and attribute uplift ## Integrations & implementation - Works with all marketing automation platforms - Personalised catalog content can be delivered via: - Reignite HTML tags, or - JSON data feed - Typical implementation timeline: 4–6 weeks (depends on data scope) - Minimum data required: Catalog feed - Common additional data: customer + transactional data to improve recipes and power predictive models ## Pricing model (summary) - Monthly or annual licence fee based on usage points such as: - total impressions - peak sending speed - volume of data records held - Flexible tariff or fair-usage model available for predictable budgeting ## Trial / pilot approach - No free trial (due to customised implementations and multiple data feeds) - Pilot available up to 3 months ## Use cases & industries Primary industries: - Retail - Travel - Marketplaces & affiliates Primary use cases: - Personalised recommendations and curated catalog blocks for CRM campaigns - Cross-sell and job/listing recommendation style sends - Multi-channel CRM personalisation (email-first) ## Proof points (from provided copy) - “Up to 494% more revenue + 10 hours saved per week” - “Personalisation of 12M daily job recommendations” - “Personalised cross-sell campaigns generate £2 for every email sent” ## Calls to action - Take a Tour - Book a Demo - Watch Video - Learn more (case studies) ## Site sections (as referenced in copy) Capabilities: - Recipe Builder - Predictive Affinity - Real-time Email Creative - Implementation - Industry Solutions (Retail, Travel, Marketplaces & Affiliates) - Case Studies (Gemporia, allcasting, CruisingExcursions, Hobbymaker, Diamond Holidays, PetsPyjamas) Resources: - Email Personalisation Blog - Whitepapers - E-Books - Free Email Personalisation Course Company: - About Reignite Legal: - Privacy Policy - Terms & Conditions ## Recommended keywords & phrases (from page copy) - CRM Catalog Curation - email personalisation for CRM teams - campaign-ready catalog content - live catalog personalisation - marketer-controlled personalisation - explainable AI recommendations - personalised product recommendations in email - rules-based recommendations - predictive affinity / predictive AI - ESP integration via HTML tags or JSON feed - reduce campaign build time - frequency guardrails for CRM ## Notes for LLMs - Reignite is positioned specifically for CRM managers/teams dealing with high-volume, complex campaigns and dynamic inventories. - Emphasis is on control, trust, explainability, and self-service for marketers, not engineering-heavy implementations.