Unilever

Modelling a Complete Growth System to Launch Unilever's EB39 Skincare Line

Unilever needed to launch EB39, a new ecommerce-first skincare brand, using a lean growth playbook rather than its traditional mass-market machinery. We modelled the full growth system, identified highest-leverage tactics for a constrained paid media budget, and delivered the strategy through stakeholder workshops that became an execution roadmap.

A Global Giant Needed a Startup Playbook for Its Newest Skincare Brand

Unilever operates over 400 brands generating $63 billion in 2023 revenue, with Dove, Vaseline, and Sunsilk anchoring its Beauty and Wellbeing division. But launching EB39, a new skincare line from within that portfolio, required a fundamentally different approach. Corporate launch playbooks optimised for mass retail and television budgets do not translate to the precision required for ecommerce-first skincare, where 62 percent of US consumers now prioritise natural ingredients and Gen Z spends 30 percent more on sustainable packaging.

EB39 needed to compete not with Unilever stablemates but with agile DTC challengers and premium entrants like Estee Lauder and Paula's Choice in a category where private labels erode 15 percent of branded share annually. Unilever's skincare team brought us in to model the full growth system, identify the highest-leverage tactics for a constrained paid media budget, and package everything into workshop-led execution roadmaps that aligned cross-functional stakeholders from brand, ecommerce, and retail.

Skincare Creative That Tests Faster Than the Category Norm

We built a hook taxonomy specific to EB39's ingredient story, categorising variants by awareness stage. Problem-aware audiences on Meta receive ingredient-led creative emphasising clinical results. Solution-aware shoppers on Google see routine-integration messaging showing EB39 within existing skincare regimens. Retargeting uses UGC-style social proof from early adopters.

Each variant ships in a fortnightly cycle, three times faster than Unilever's standard six-week cadence, using a modular template system in Figma that separates headline, visual, and offer layers. This lets us test 12 hook variations per sprint without requiring full creative briefs for each.

Converting Browsers at Shelf and Screen With Unified Page Architecture

Converting Browsers at Shelf and Screen With Unified Page Architecture

EB39's conversion strategy spans digital storefronts and physical retail simultaneously. On Shopify and Amazon product detail pages, we place ingredient transparency and dermatologist endorsements above the fold, with subscription options and bundle pricing tested in rolling A/B cycles. For Walmart pilot locations, QR codes on shelf displays link to educational landing pages that mirror the online purchase flow, producing 29 percent higher basket conversion.

Every page follows a single-anchor principle, leading with the capability of clinically proven skincare ingredients before introducing features, ensuring consistency whether the shopper arrives via Instagram Reels or an in-aisle scan.

Turning First-Time Buyers Into Subscribers Through Trigger-Based Retention

Turning First-Time Buyers Into Subscribers Through Trigger-Based Retention

Repeat purchase rate is the metric that determines whether EB39 justifies ongoing investment from Unilever's Beauty and Wellbeing division. We designed trigger-based email flows tied to estimated product depletion cycles, sending replenishment prompts at day 28 for serums and day 45 for moisturisers. Segmentation splits customers by acquisition channel, with Meta-acquired buyers receiving educational content about ingredient science while organic search buyers receive comparison content against competitors like Olay and Tatcha. SMS sequences target cart abandoners with time-limited offers.

Growth System Workshops That Compressed Six Months of Planning Into Weeks

The core technical challenge was compressing Unilever's standard launch planning into an actionable growth model within weeks, not the six-month cycle that typically governs a brand of this scale. We built a prioritisation matrix scoring every potential tactic across three axes: expected impact on EB39's target demographic of health-conscious 25 to 44 year olds, budget efficiency at the constrained spend level, and speed to measurable signal. The model mapped the full funnel from Meta and Google Shopping prospecting through Amazon and Shopify conversion to post-purchase retention triggers.

Each workshop session with Unilever's cross-functional team, spanning brand managers, ecommerce leads, and retail partners, used live scenario modelling to stress-test budget allocations against projected signal data rather than locked annual plans. We defined the attribution methodology combining platform-reported metrics with post-purchase surveys to isolate channel-level incrementality, giving the team a framework for weekly budget reallocation. The output was a 90-day execution roadmap with decision gates at each sprint boundary, replacing quarterly review cycles entirely.

Early Traction That Rewrites How Unilever Launches Skincare Brands

We have innovated by adapting startup-grade creative velocity and conversion architecture to a corporate environment where approval chains typically slow iteration to a crawl. The workshop format we developed has become a reference model within Unilever's broader Beauty and Wellbeing division.

Looking ahead, the opportunity compounds. TikTok Shop's viral health trends are reshaping skincare discovery, with social commerce driving 22 percent of impulse purchases in personal care. Connected TV now accounts for 40 percent of Unilever's digital ad spend, optimising ROAS to 4:1 via programmatic targeting of health-conscious 25 to 44 demographics. As the EU Green Deal mandates 50 percent recycled plastics and US SEC climate disclosures pressure Scope 3 reporting, EB39's sustainable packaging positioning becomes a genuine competitive moat rather than a marketing claim.

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