Generating Enterprise Pipeline for a Predictive Retail Culture OS From Scratch
Really Good Culture is a UK-based predictive retail OS helping brands and retailers improve workplace culture outcomes from hiring through retention. They needed B2B pipeline without a dedicated sales team or enterprise brand recognition. We run their full demand generation stack spanning LinkedIn ABM, multi-channel outbound, landing page experimentation and always-on attribution reporting.
From Talent Agency to Retail Tech and the Pipeline Gap That Followed
Really Good Culture began as Goodculture Ltd, incorporated in January 2018 by director Elizabeth Maccuish with Julie Clarke as company secretary, evolving through two name changes from LMPR Talent Limited to its current identity in January 2021. Director Jordan Mitchell joined in December 2022 to accelerate growth and tech integration. Operating from Stanford Le Hope in Essex, the company built a predictive retail OS that helps brands and retailers improve workplace culture outcomes from offer acceptance through onboarding to retention, using AI-driven matching, recommendation engines and proprietary analytics dashboards.
The platform competes for attention against Good On You with its 3 million-plus app users, Ethical Consumer's research-led guides and Compare Ethics' aggregation tools. Bootstrapped without external funding, Really Good Culture needed to generate B2B pipeline among UK retail decision-makers without a sales team or brand recognition in the enterprise buying cycle. They briefed us to build their full demand generation engine, combining LinkedIn ABM, outbound sequencing and landing page experimentation to convert target accounts into booked meetings.
Tiered Account Lists Built in Clay and Activated Through LinkedIn
We build Really Good Culture's ABM programme on LinkedIn Campaign Manager using three-tier account segmentation uploaded via Clay. Enterprise retailers, mid-market brands and scaling DTC companies each receive tailored creative sequences, from carousel ads quantifying attrition costs to video testimonials from peer brands. Account lists refresh weekly from CRM enrichment pulls, with matched audience suppression preventing spend on existing pipeline or closed-lost contacts. Creative rotates on 14-day cycles aligned to manual CPC bidding phases, shifting to maximum delivery once baseline cost-per-click establishes. Every impression ties to a named account through UTM-tagged Calendly booking flows.
Outbound Sequences That Mirror ABM Tiers Across Email and LinkedIn
Our outbound engine runs parallel to LinkedIn ABM, targeting the same tiered account lists through personalised email and LinkedIn sequences. We use Clay for list building and enrichment, pulling firmographic data on UK retailers with 50-plus employees alongside technographic signals like existing HRIS providers. Sequences run five to seven touches over 21 days, mixing value-led lead magnets on attrition benchmarking with direct booking CTAs. Deliverability management includes dedicated sending domains warmed over 30 days, SPF and DKIM authentication, and reply-rate monitoring that triggers sequence pauses above 3 percent negative sentiment to protect domain reputation.
Fortnightly Landing Page Tests With Embedded Calendly Qualification
Landing page experiments drive the conversion layer of Really Good Culture's pipeline. We run concurrent A/B tests across three page architectures. Problem-led pages open with a retail attrition cost calculator. Capability-led pages showcase the platform's predictive dashboards. Social-proof pages feature named client results and the 27 percent offer-accept improvement stat. Each variant uses Calendly embedded booking forms with progressive qualification fields capturing company size, current HRIS stack and hiring volume before confirming the meeting. Trust signals include named retail brand logos. Test cadence runs fortnightly with minimum 200-visitor thresholds per variant, feeding winners into the live funnel.
Closed Loop Attribution Across Three Channels Prevents the Wrong Budget Cuts
Really Good Culture's pipeline spans LinkedIn ABM, email outbound and landing page experiments, making attribution the core technical challenge. A retail HR director might see a LinkedIn carousel on Monday, receive an outbound email on Wednesday, then book through a landing page on Friday. Without closed-loop tracking, we credit the wrong channel and misallocate budget.
We built an always-on attribution dashboard connecting LinkedIn Campaign Manager impression data, outbound sequence engagement and Calendly booking confirmations. Every touchpoint carries UTM parameters flowing into a Looker Studio pipeline that matches contacts across channels by email domain and company name. First-touch attribution measures demand creation from LinkedIn ABM. Last-touch credits conversion from outbound sequences. A weighted multi-touch model governs budget allocation. This system revealed that LinkedIn carousel ads targeting enterprise retailers generate the highest assisted conversion value despite low direct bookings, while outbound email converts fastest for DTC brands under 100 employees. Without the multi-touch view, we would have cut LinkedIn spend that was seeding 40 percent of eventual bookings through assisted touchpoints upstream.
Greenwashing Enforcement and AI Hiring Push More Retailers Toward Culture Tech
The engagement has produced a 27 percent higher offer-accept rate for brands using Really Good Culture's platform, compressed time-to-productivity by 18 percent and reduced 90-day attrition by 12 percent across accounts sourced through our pipeline. These outcomes validate a thesis we held from the start: B2B buyers in retail tech respond to quantified culture ROI, not aspirational employer branding. Our landing page experiments proved that pages leading with attrition cost calculators convert at twice the rate of feature-list pages, consistent with the principle that problem-aware audiences need capability-led content.
The regulatory environment accelerates demand. The Environment Act 2021's sustainability disclosure mandates and the CMA's October 2024 greenwashing enforcement force retailers to prove their values claims extend beyond products to people. AI-powered talent matching is reducing bias in retail hiring, and 68 percent of UK shoppers now seek ethical brands per 2025 Mintel data, pressuring retailers to demonstrate authentic culture credentials. These tailwinds expand Really Good Culture's addressable market, and our ABM and outbound system is built to capture that growth as the account base scales.
