Kiki Textiles

Kiki Textiles is a California-based fashion e-commerce brand specializing in textile products. The brand had a strong product catalog and an established Shopify store but needed a more systematic approach to paid acquisition and growth measurement.

The brand was running ads without a clear funnel structure or systematic creative testing. Campaign performance was difficult to measure, and there was no data-driven approach to merchandising or product positioning.

• No structured Meta Ads funnel — campaigns running without clear segmentation
• Inconsistent creative testing with no system for identifying winners
• Limited performance visibility — no clear ROAS or CPA tracking
• No data-driven merchandising or product positioning strategy
• Store conversion rate below potential

We implemented a structured Meta Ads funnel with distinct prospecting, retargeting, and retention layers. Creative testing was systematized with weekly new variations across formats.

Shopify was optimized for conversions — product page layouts were refined, checkout flow was streamlined, and merchandising decisions were guided by ad performance data.

Campaign analytics were built to track ROAS, CPA, AOV, and contribution margin in real time, giving the brand full visibility into profitability by product and campaign.

Product positioning was sharpened around quality, uniqueness, and value, with ad copy tailored to different audience segments and engagement levels.

• Structured Meta Ads funnel: prospecting → retargeting → retention
• Systematic weekly creative testing across static, carousel, and video
• Shopify conversion optimization: product pages, checkout, merchandising
• Real-time analytics: ROAS, CPA, AOV, margin by product and campaign
• Product positioning around quality, uniqueness, and value
• Audience segmentation by engagement and purchase intent

Meta Ads drove the majority of acquisition, with prospecting campaigns on broad audiences delivering consistent new customer volume. Retargeting campaigns converted warm traffic at high efficiency.

Advantage+ Shopping Campaigns contributed incremental scale, while the retention layer brought past buyers back for repeat purchases at low cost.

• Prospecting: consistent new customer volume via broad audiences
• Retargeting: high-efficiency conversion of warm traffic
• Advantage+ Shopping: incremental scaling layer
• Retention: low-cost repeat purchases from existing customers

Over 90 days, the campaign generated $118,882 in total sales with 1,652 orders and an average order value of $71.97.

The structured approach gave the brand a measurable, repeatable growth system — replacing guesswork with data-driven decisions on creative, merchandising, and spend allocation.

• $118,882 in total sales over 90 days
• 1,652 orders driven
• $71.97 average order value
• Data-driven creative and merchandising decisions
• Repeatable, measurable growth system

When acquisition, store optimization, and analytics work together, growth becomes measurable and repeatable. Data-driven merchandising — using ad performance to guide product decisions — was a key differentiator in this campaign.