A Texas-based women's fast-fashion retailer with inclusive sizing set an aggressive goal: double annual revenue in 12 months. We delivered that outcome in 7 months.
The Challenge
Glitzy Girlz Boutique was riding a growth wave but lacked the infrastructure to scale. The brand was acquiring customers on Facebook and Google Shopping, but attribution was murky and audience targeting was generic. Without clear user journey mapping, the team couldn't distinguish incremental new-to-brand customers from repeat purchasers or window shoppers.
This created two critical problems. First, media spend was being allocated without confidence in which channels or audiences were driving true net-new revenue. Second, aged inventory was accumulating while high-turnover SKUs sold out, a merchandising mismatch that throttled cash flow and compressed margins.
The business set an aggressive goal: double annual revenue in 12 months. But traditional scale tactics (raising bids, expanding budgets) wouldn't work without solving the attribution and inventory problems first. The bottleneck wasn't ad spend; it was strategic clarity on which customers to target, which products to promote, and which channels deserved incremental investment.
The Strategic Insight
The core diagnosis was a measurement problem masking an audience problem. The existing data setup couldn't isolate new customer acquisition from repeat purchase behavior, making it impossible to optimize toward profitable growth. The large catalog also lacked data enrichment to fully leverage search and dynamic placements.
We started with user journey mapping and cohort analysis to rebuild attribution from the ground up. This revealed that certain audience segments had dramatically higher lifetime value but were being underserved in both creative messaging and product feed promotion. Meanwhile, lower-LTV segments were receiving disproportionate ad spend because they converted faster, a vanity metric that didn't predict long-term profitability.
The second insight: Google Shopping and Facebook DPA were underperforming not because of bid strategy, but because the product feed lacked merchandising intelligence. High-inventory SKUs weren't being surfaced, and aged inventory sat dormant while ad spend promoted sold-out products. The opportunity was clear: connect merchandising strategy directly to paid media execution through feed optimization.
The Execution
We restructured Facebook and Google Shopping campaigns around new-to-brand customer acquisition, using cohort data to build lookalike audiences based on high-LTV buyer behavior rather than generic converters. On Facebook, this meant shifting budget away from broad retargeting toward cold prospecting with tighter audience definitions and GA cohort segmentation.
Google Shopping required a feed-first approach. We rebuilt the product feed with custom labels for inventory age, margin tiers, velocity, and more. This enabled campaign structures prioritize high-inventory products while suppressing out-of-stock SKUs. Catalog segmentation also unlocked more contextually relevant placements. Google Search campaigns targeted branded + category terms with ads tailored to the inclusive sizing value proposition, driving higher-intent traffic at lower CPCs.
CRO work focused on streamlining navigation, discovery, and add-to-cart flow for mobile users (70%+ of traffic), reducing friction points that inflated cost per ATC.
Creative strategy pivoted from generic imagery to include audience-specific lifestyle content based on newly defined segments. We identified three core buyer personas through cohort analysis: trend-focused shoppers, value-conscious moms, and plus-size fashionistas, each with distinct conversion drivers and LTV profiles.
We optimized existing product photography and brand content pipelines to align with these segments, then used dynamic product ads (DPA) on Facebook to serve personalized product recommendations based on browsing behavior and inventory priorities.
The merchandising layer connected directly to paid media: high-margin, high-inventory SKUs were promoted aggressively in DPA catalogs, while aged inventory was featured in time-sensitive promo campaigns to clear stock before markdowns. This turned merchandising into a performance lever, not just an ops function.
We implemented cohort reporting in GA to track customer acquisition performance over time, segmenting by channel, campaign, and audience. This replaced vanity metrics (ROAS calculated on first purchase only) with true customer LTV modeling, revealing which acquisition sources delivered profitable long-term customers versus one-time buyers.
Attribution modeling was rebuilt to credit channels appropriately across the full customer journey. This shifted budget allocation: Google Search received more credit for initiating high-intent journeys. Meta got credit for top-of-funnel discovery, even when conversions happened days later through direct or branded search.
Forecasting models used historical cohort data + inventory levels to predict revenue impact of incremental spend, giving the team confidence to invest aggressively during Q4 without sacrificing ROI. Weekly optimization cycles reviewed cohort performance, feed health, and inventory turnover. All creating tight feedback loops between merchandising, media, and finance. This infrastructure didn't just support the initial revenue doubling; it positioned the brand to sustain compounding growth beyond the first 7 months.
Client Testimonial
"Neon helped us scale on Facebook and Google Shopping, doubling our revenue while continuing to grow our audience reach every day."
The Results
Glitzy Girlz Boutique achieved 165% revenue growth in the first 7 months, doubling annual revenue in half the projected timeline. This wasn't a flash-in-the-pan spike; the compounding growth trajectory continued beyond the engagement window, driven by the attribution and merchandising infrastructure we built.
Facebook ROAS improved 21% as audience targeting shifted toward high-LTV segments, while Google Shopping ROAS lifted 15% through feed optimization that prioritized in-stock, high-margin SKUs. Cost per add-to-cart dropped 50%, driven by CRO improvements and more efficient audience targeting that reduced wasted impressions on low-intent users.
Beyond the headline metrics, the engagement delivered operational wins: aged inventory turnover accelerated through strategic DPA promotion, reducing markdown pressure and preserving margins. Cohort reporting gave the team real-time visibility into customer acquisition economics, enabling confident budget increases during peak selling windows without overshooting CAC targets.
The forecast models informed annual planning, connecting media spend projections directly to inventory purchasing decisions. This change turned paid media from a cost center into a strategic growth engine integrated with merchandising and finance.
Case study Summary
Neon Growth helped Glitzy Girlz Boutique achieve 165% revenue growth in 7 months through attribution infrastructure, audience segmentation, and feed optimization. By mapping user journeys and rebuilding product feeds with merchandising intelligence, we scaled Facebook and Google Shopping spend while improving ROAS 21% and 15% respectively.
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