Irrigation Retailer Case Study | EKOM
Back to Case Studies
Irrigation & Water Management · 11,000+ SKUs

4.5X ROI in 90 Days. 11,000 Products Addressed in 4 Days.

A national irrigation retailer had 11,000+ products with incomplete data inherited from manufacturer feeds. They knew their catalog was losing to competitors with better-structured listings, but the scale of the problem made it feel unsolvable with internal resources. EKOM gave their team the intelligence to see every gap and the workflow to deploy fixes that eliminated a 6-month, $150K manual backlog in days.

4.5X90-Day ROI
11,000+Products Analyzed
4 DaysTime to Deploy
19XProjected Annual ROI
The Challenge

The team knew better data would win. The backlog made it feel impossible.

  • 01
    Product descriptions pulled from manufacturer feeds were generic, duplicated, and missing structured data for search engines and AI systems. The team knew this was costing them traffic but couldn't quantify the impact across 11,000+ products.
  • 02
    Internal estimates put the fix at 6 months and $150K+ in manual labor. Meanwhile, competitors with better-structured catalogs were capturing the same high-intent searches.
  • 03
    Millions of monthly irrigation searches went to competitors. Long-tail queries with strong purchase intent returned zero results for this retailer.
  • 04
    AI answer engines favored products with complete, structured data. Without it, the retailer was invisible in the fastest-growing discovery channels.
The Results

The team deployed approved fixes. The catalog started performing.

First 90 days after the team deployed approved changes

3xOrganic ImpressionsTripled search visibility across channels
45%CTR LiftHigher click-through from search results
2.1MNew Search ReachPreviously uncaptured buyer queries
99.8%Data CompletenessNear-complete catalog coverage
$140K+Labor Cost Avoided90-day savings vs. manual approach
100%Schema CoverageFull structured data implementation
Operational Impact

From months of manual work to days of focused decision-making

Full Catalog Coverage
4 Days

11,000+ products analyzed and prioritized, replacing an estimated 6-month manual effort. The team focused on reviewing, not auditing.

Labor Cost Avoided
$150K+

Eliminated a 6-month manual audit. The team redirected resources to strategic decisions instead of data entry.

Dev Resources Needed
0

No custom development, no IT tickets, no migration. Connected via API with the team managing the entire workflow.

Categories Covered
50+

Every category from drip irrigation to landscape lighting analyzed with category-specific recommendations.

Ongoing Monitoring
Continuous

New products are automatically flagged for data gaps. The team reviews and approves fixes on their schedule.

Growth Trajectory
Compounds

Higher-quality product data compounds over time, driving more organic traffic and lower acquisition costs quarter over quarter.

"

We knew our product data was holding us back, but the scale of the problem made it feel unsolvable with our team alone. EKOM showed us exactly where the gaps were and what to fix. We reviewed, approved, and deployed. The results spoke for themselves.

Ready?

Your team. Your decisions. Better data.

EKOM helps your team find gaps, prioritize fixes, and ship approved changes, turning better catalog data into measurable growth.

Book a Demo