Ayala Import & Export LLC

How a data-driven growth framework achieved $26K+ in monthly revenue and a 15% MoM checkout expansion. This case study outlines the strategic optimization framework designed and executed by Shopit  forTienda Salvadoreña Atl during Month 2 of our growth partnership. By revamping the store's marketing attribution model, engineering hyper-efficient lifecycle messaging workflows, and actively capturing high-intenttraffic, Shopit consolidated a fragmented acquisition pipeline into a predictable revenue generator, achieving $26,004.60 in total monthly sales, with 49.6% directly attributed to marketing.

Executive Summary
This case study highlights how Shopit partnered with Ayala Import & Export to transform a fragmented e-commerce operation into a scalable, data-driven growth engine. By optimizing marketing attribution, implementing high-converting lifecycle automation, and reducing checkout friction, the business achieved $26,004.60 in monthly revenue, with 49.6% of that revenue directly attributable to marketing efforts.

Additionally, strategic improvements in messaging and checkout systems unlocked a 6.22% conversion rate in owned channels and drove a 15% month-over-month increase in Shop Pay revenue, establishing a foundation for consistent and predictable growth.

Objective
The primary objective of this engagement was to transform Ayala Import & Export’s e-commerce ecosystem into a predictable, high-performance revenue engine by:

• Increasing conversion rates across acquisition channels
• Improving checkout efficiency to accelerate purchase completion
• Leveraging customer data to drive smarter marketing decisions
• Strengthening customer retention through automated lifecycle strategies
• Protecting profit margins by aligning marketing with operational realities

The Challenge
Ayala Import & Export serves a passionate diaspora audience seeking authentic Latin American products—from traditional foods to specialty goods. Despite strong demand, the business faced key growth barriers:

• High Traffic, Low Conversion Intent
  Paid and organic channels generated significant traffic, but poor keyword targeting diluted conversion rates.
• Checkout Friction Limiting Revenue Velocity
  Returning customers experienced slow and repetitive checkout processes, reducing purchase frequency and lifetime value.
• Operational Inefficiencies with Perishable Products
  Logistics-related issues led to product returns, impacting margins and customer experience.

The Strategy
Shopit implemented a multi-layered growth framework focused on efficiency, automation, and conversion optimization:

1. Advanced Attribution & Shopify Growth Ecosystem
We restructured the analytics infrastructure to eliminate data silos and gain full visibility across acquisition channels. Insights revealed that while Google Search generated the highest traffic volume (25,762 sessions), it converted at just 0.52%.

This allowed us to shift investment toward high-intent, bottom-of-funnel traffic and refine keyword targeting to improve efficiency.

2. High-Converting Lifecycle Automation
Understanding the emotional connection customers have with cultural products, we deployed personalized lifecycle marketing flows, including:

• Restock notifications for high-demand items
• Abandoned cart recovery sequences
• Exclusive product drop alerts

These automated touchpoints generated a 6.22% conversion rate, making messaging the most profitable and efficient revenue channel.

3. Frictionless Checkout with Shop Pay Optimization
To accelerate conversions—especially on mobile—we prioritized express checkout solutions by integrating and promoting Shop Pay across product and cart pages.

This initiative resulted in:

• $9,544.48 processed via Shop Pay
• 15% month-over-month growth
• A smoother, faster buying experience that increased repeat purchases

Performance Breakdown (30-Day Snapshot)

• Google Search (Paid): 25,762 sessions | 131 orders | $6,584.86 revenue
• Facebook Ads (Retargeting): 4,156 sessions | 53 orders | $3,902.74 revenue
• Direct Traffic: 4,378 sessions | 42 orders | $3,766.78 revenue
• Email & SMS (Owned): 225 sessions | 14 orders | $924.93 revenue

Product Intelligence & Revenue Optimization
Through detailed sales analysis, we aligned marketing efforts with high-performing products:

• Bulk staple goods emerged as top revenue drivers, especially nostalgic essentials.
• Health and wellness items showed strong repeat purchase behavior.
• Traditional treats performed well in bundles, increasing average order value (AOV)

Operational Improvements
We identified revenue loss in perishable goods due to shipping constraints. To protect margins, we recommended:

• Restricting delivery methods to faster shipping options
• Reducing ad spend on high-risk perishable items
• Refocusing campaigns on stable, high-margin inventory

Results & Impact
By replacing inconsistent tactics with a structured growth system, Ayala Import & Export achieved:

• Predictable, scalable monthly revenue
• Increased conversion rates across key channels
• Stronger customer retention through automation
• Improved operational efficiency and margin protection

Next Steps for Growth

• Search Optimization: Refine keyword targeting to increase Google conversion rates from 0.52% to 1.2%+
• Lifecycle Expansion: Scale cross-sell automation across complementary product categories
• Advanced Retargeting: Activate high-intent audience segments across paid social channels

Websites & Online Store

www.tiendasvatl.com

www.elsalvadorencomiendas.com

Conclusion
This transformation demonstrates how a data-driven e-commerce strategy can unlock sustainable growth in culturally driven markets. By aligning technology, marketing, and operations, Shopit helped Ayala Import & Export evolve into a high-performance, customer-centric commerce brand.