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Case Study: Goya Foods

Goya Foods is the largest Hispanic-owned food company in the United States and a category leader in Latin American foods and condiments. With national distribution and deep roots in local communities, Goya’s performance depends on how well teams understand and respond to the nuances of each market they serve.

For Goya, growth wasn’t the challenge. Ensuring store-level execution reflected real customer demand was.

The challenge:

National scale, local complexity

Goya operates across highly diverse markets where customer preferences can change from one neighborhood to the next, sometimes from one store to the next.

Leadership recognized that centralized summaries weren’t enough to support that reality. Sales managers, brokers and field teams needed the ability to:

  • Understand performance at the customer, item and store level
  • Adapt assortments to local demographics and buying behavior
  • Act quickly in-market without waiting on analysts or static reports

The goal wasn’t more data. It was better decision-making, closer to the shelf.

The decision:

Provide and clarity and accountability to the field

Goya partnered with Salient to support a shift toward a more distributed, data-informed operating model — one that enabled local teams to act with confidence while maintaining alignment across the business.

“Goya is in the process of transforming into a data-driven culture of continuous improvement.”

John Amisano, CEO, Salient

For Goya, that transformation started with sales enablement at the operational level, putting insight directly into the hands of the people responsible for execution.

A fast start positioned for performance

With hundreds of sales team members and brokers across the Northeast, onboarding and adoption were critical. The priority wasn’t just speed — it was ensuring the system reflected how the business actually works.

  • Salient worked closely with Goya teams to:
  • Define common, real-world sales scenarios
  • Build guided analyses that were immediately usable in the field
  • Ensure mobile access supported in-store decision-making
  • Deliver training and feedback loops from day one

From integration through deployment, the full rollout was completed in under 90 days — without disrupting the business.

Building a catalyst for change

While the technical rollout was fast, the broader impact was organizational.

“The 90 days of implementation went smoothly, but this is really a culture shift,” said Joe Antoniotti, Sales Research Manager at Goya. “Salient has been that first step. They’re actively helping us build what we need for the future — whether that’s sales, finance, marketing or leadership.”

Performance insight became a shared asset, not a centralized function.

Understanding customers at the neighborhood level

Winning at shelf requires precision. Goya’s teams needed to understand not just what was selling, but why they were selling it – by customer segment, store and demographic profile.

“One of the things we can do is bring in demographics by store,” said Luis Saenz, Director of DSD at Goya. “We can look at categories, SKUs, stores and days, and we’re a lot smarter because of it.”

This shift allowed brokers and area managers, the people who know their customers best, to tailor execution based on real demand signals, not assumptions.

The outcome:

Strong execution, confident decisions

By aligning performance insight with how decisions are made in the field, Goya strengthened its ability to:

  • Tailor assortments by neighborhood and customer profile
  • Identify gaps and opportunities at the store level
  • Support brokers and sales teams with actionable context
  • Maintain alignment across sales, marketing and leadership

For Goya, performance improvement didn’t mean standardizing away local nuance. It meant giving local teams the information needed to act and the accountability to deliver.