Case Study: Global CPG Company Achieves 21.5% Amazon Sales Lift Across Pilot Listings with Perci

published on 11 August 2026

How a global CPG company used Perci to optimize Amazon Canada listings, improve organic traffic and conversion, and turn a slow agency-style workflow into a faster, scalable catalog optimization process

Key Results

After using Perci to optimize a set of Amazon Canada pilot listings, the company saw measurable sales, traffic, and conversion gains.

Pilot performance results:

  • +21.5% average retail sales lift across pilot listings
  • +51.9K in additional retail sales over 4 weeks
  • +16% aggregate organic traffic
  • +13.3% average conversion rate increase

Operational results:

  • Reduced first-pass optimization turnaround from 1–2 weeks to 1–2 days
  • Replaced workflows that had previously received agency quotes as high as $1,200 per product code
  • Created a repeatable optimization process now being expanded across the broader Amazon Canada catalog

“The speed of it is part of the return on investment, not just the dollars for us.”

Digital Shelf Operations Leader

The Challenge: Scaling Amazon Optimization Across 1,000+ Listings

This global CPG company manages a large Amazon Canada catalog across multiple household healthcare brands.

The team oversees more than 1,000 Amazon Canada product codes/listings, with roughly 400 priority codes driving around 80% of sales. That means optimization work has to be both scalable and selective: the team needs to improve the listings that matter most, without getting buried in low-impact catalog work.

Before Perci, the company had two main ways of creating optimized Amazon content.

First, they could adapt content from another market, such as the U.S. or U.K., then workshop it internally for the Canadian market.

Second, they could use an agency or copywriter workflow: submit a brief, wait for copy, review the output, provide feedback, wait for revisions, and eventually move the content into internal approvals.

That process worked, but it was slow, expensive, and difficult to scale.

The team also had to plan far ahead for major ecommerce moments.

“If we were aiming for a Prime Day or a Black Friday, we would often be a little late to get started.”

Digital Shelf Operations Leader

The main challenges were:

  • Slow copywriting and agency turnaround times
  • High cost per optimized product code
  • Too much back-and-forth before content could move into review
  • Inconsistent keyword optimization
  • Limited competitive/comparable analysis in some workflows
  • Unclear ownership across ecommerce, brand, legal, and regulatory stakeholders
  • Difficulty scaling optimization across a large multi-brand catalog

The team needed a faster way to create Amazon-specific, market-specific listing content while still preserving internal brand, legal, and regulatory controls.

The Solution: Perci’s Amazon Catalog Optimization Workflow

The company tested Perci on a set of Amazon Canada pilot listings.

Perci was used to create optimized listing content specifically for the Canadian Amazon market. The customer then reviewed and published the updates through its existing Salsify workflow.

After the pilot, the company began expanding Perci into the rest of its catalog optimization process.

“It’s the upfront of our process, or the beginning of the conveyor belt.”

Digital Shelf Operations Leader

Perci helped the team turn listing optimization into a more structured, repeatable process.

What Perci Did

1. AI-Powered Competitor and Comparable Research

Perci analyzed competing and comparable products in the Canadian Amazon market.

This helped the team understand which products were actually competing for visibility and conversion on Amazon Canada — not just broad category competitors.

“We really like when it finds comparables. Some brands are very obsessive over who they’re trying to beat, so we can plug those in. But what’s really nice is we’ve done some where we’ve said, ‘You’ve got your comparables, but what about these ones?’ And they’re like, ‘Oh, we’ve never even thought of them.’”

Digital Shelf Operations Leader

For a large catalog team, this mattered because different brands had different levels of competitive awareness. Some knew exactly who they wanted to beat. Others simply wanted to get listings live.

Perci made competitive context part of the optimization process by default.

“We sometimes get in our own way worrying about blanket category as opposed to these are the real big players we need to look at.”

Digital Shelf Operations Leader

2. Keyword Research for the Canadian Amazon Market

The team had historically not spent enough time on keyword optimization.

Perci helped identify and incorporate relevant keywords into listing content, giving the team a more structured way to improve search relevance on Amazon Canada.

“We’ve had a bit of a keyword issue in the past, meaning not something we spent enough time around. We were able to get better details on that now and leverage those.”

Digital Shelf Operations Leader

3. Optimized Amazon Listing Content

Perci generated new optimized:

  • Titles
  • Bullet points
  • Product descriptions
  • Backend keywords

The outputs were designed for Amazon Canada and informed by competitive research, keyword research, and product context.

The team then reviewed and refined the content before moving it into the company’s internal approval process.

4. Compliance and Restricted Phrase Checks

Because of the company's product categories, brand, legal, and regulatory review are essential.

Perci performed compliance and restricted phrase checks before content moved forward, helping the team reduce risk before the content entered formal review.

This was important because the company could not simply automate listing changes end-to-end. The content still had to pass internal review and approval.

Perci helped accelerate the research and optimization work while keeping the company’s stakeholder controls intact.

5. Salsify-Based Publishing Workflow

In this pilot, Perci created the optimized listing content, but the customer published through Salsify.

The workflow looked like this:

  1. Listings selected for optimization
  2. Perci performs competitor and keyword research
  3. Perci generates optimized titles, bullets, descriptions, and backend keywords
  4. Compliance/restricted phrase checks are completed
  5. Internal ecommerce team reviews and adjusts
  6. Marketing/brand team reviews
  7. Legal/regulatory approval process runs
  8. Final content is syndicated through Salsify to Amazon Canada

The result was a faster, clearer workflow.

“People really like that this is a service where it was not provided before, and it is provided now. It’s very clear what we expect their job to be. Here’s our role in this, here’s your role in this.”

Digital Shelf Operations Leader

The Results: 21.5% Average Retail Sales Lift Across Pilot Listings

Measured using Stackline over a timed before/after analysis:

Across the pilot listings, the company saw:

  • +21.5% average retail sales lift
  • +$51.9K in additional retail sales over 4 weeks
  • +16% aggregate organic traffic
  • Average conversion rate increased 46%

Several listings showed major gains:

  • One listing increased retail sales from $38.19K to $79.25K
  • Another increased retail sales from $21.61K to $49.13K
  • A third listing increased organic traffic by 88% and conversion rate by 42.0%
  • Another listing increased organic traffic by 75.3% and conversion rate by 21%

Operational Impact: From 1–2 Weeks to 1–2 Days

The pilot also created a major process improvement.

Before Perci, the team could wait one to two weeks for copy from an external copywriter or agency.

With Perci, the team could often produce optimized content and get it into stakeholders’ hands within one to two days.

“Our turnaround from ‘please optimize this code’ to getting it into their hand is like a one-day turnaround, maybe two days depending on volume. Before, it might have been a week or two when working with a copywriter.”

Digital Shelf Operations Leader

That speed changed how the team approached optimization.

Instead of waiting on copy development, the team could move quickly into review, approval, and syndication.

“We can do it now and get it in your hands now.”

For a large catalog team, that speed is not just convenient. It changes what is operationally possible.

ROI: Replacing Expensive Manual Workflows

The team had previously seen agency quotes as high as $1,200 per product code for comparable copy and keyword work.

Perci created a more scalable and cost-effective model.

“You may have been paying hundreds or thousands of dollars to do the same job previously, and it took longer and had a lot more back and forth. Now we have a tool that’s very cost effective and getting us running right away. The speed of it is part of the return on investment, not just the dollars for us.”

Supporting Result: Content Scores Improved Across Updated Codes

While the main pilot result was sales and performance lift, the company also saw content quality improvements across the product codes updated with Perci.

For this organization, content scores are an important internal metric. The team tracks content performance by retailer and by priority product codes, using baseline scores and year-end targets.

“We have an overall content score per retailer. We have our baseline of what it was like January 1 and our goal of how to end on December 31. Tools like this really help improve a lot of that stuff and get the big wins right out of the way.”

Digital Shelf Operations Leader

Across the codes updated with Perci, the company saw year over year:

  • Title scores: +2%
  • Bullet scores: +5%
  • Total content score: +5.68%

“The areas that Perci provides, we’ve seen the high growth in that. Bullets were always terrible. We’ve gone from low 80s to mid 90s in terms of the scores. That’s the big lift.””

Digital Shelf Operations Leader

Why This Matters for Amazon Catalog Teams

For large brands, Amazon listing optimization is not just a copywriting problem.

It is a catalog operations problem.

The work involves:

  • Choosing which listings to optimize first
  • Understanding the competitive landscape
  • Identifying relevant Amazon keywords
  • Creating optimized titles, bullets, descriptions, and backend terms
  • Avoiding restricted claims and compliance issues
  • Getting brand, marketing, legal, and regulatory approval
  • Publishing through existing syndication systems
  • Measuring whether performance improved after launch

Generic AI tools can create copy, but they do not solve the full Amazon catalog optimization workflow.

Traditional agencies can create content, but they are often slow, expensive, and hard to scale across hundreds or thousands of listings.

Perci helped this CPG company bridge that gap.

It gave the team a faster way to create Amazon-specific, Canadian-market listing content while still fitting into existing brand, legal, regulatory, and Salsify workflows.

That matters because large catalog teams often know there is opportunity sitting inside their catalog. The harder question is how to act on it quickly and repeatedly.

For this company, Perci helped turn optimization from an ad hoc project into a repeatable process.

“It really helped change the way we look at optimizing.”

Digital Shelf Operations Leader

From Pilot to Broader Catalog Rollout

After the pilot, the company began expanding Perci into the rest of its Amazon Canada and US catalog workflow.

The initial test proved that Perci could:

  • Generate optimized listing content quickly
  • Improve Amazon Canada listing performance
  • Support internal stakeholder review
  • Fit into the company’s Salsify publishing process
  • Help improve content quality scores
  • Reduce reliance on slower manual and agency workflows

Now, Perci is being used as part of the company’s broader catalog optimization process across priority product lines.

For a catalog with more than 1,000 Amazon Canada listings — and hundreds of priority codes driving the majority of sales — that scalability is critical.

About Perci

Perci is an AI-powered Amazon catalog optimization platform built for brands, agencies, and ecommerce teams managing large product catalogs.

Perci helps teams:

  • Identify high-impact listing optimization opportunities
  • Research Amazon keywords and competitors
  • Generate optimized titles, bullets, descriptions, and backend keywords
  • Check for restricted phrases and compliance risks
  • Publish or export optimized content
  • Monitor performance after launch
  • Track sales, traffic, conversion, and rank changes over time

Perci is built for teams that need more than generic AI copywriting. It helps ecommerce teams find, fix, and measure catalog optimization opportunities at scale.

Get Your Amazon Catalog Opportunity Scan

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