How Arvanza Scaled Performance with Strategic Bid Optimization

About Arvanza

Arvanza is a performance-focused Amazon growth agency based in Las Vegas, known for its data-driven execution and strategic clarity. They specialize in scaling e-commerce brands on Amazon, offering full-service solutions that go beyond surface-level optimizations. From marketing and SEO to logistics and account management, they ensure every move is intentional, data-driven, and designed for sustainable growth.

The Client: A Clinical Hygiene Brand

One of Arvanza’s long-standing clients, a clinical hygiene brand, has been at the forefront of developing science-backed solutions for excessive sweating and odor. Their commitment to creating effective products has made them a trusted name among consumers seeking relief from hyperhidrosis and related conditions.

But even with a strong product line and consistent Amazon presence, this brand found itself hitting a wall. Despite continued ad spend and reliable visibility, campaign performance had plateaued. For months, daily ad sales hovered around $12,000. ROAS and CTR remained flat, and their team struggled to scale campaigns effectively especially with expansion plans on hold.

This brought the brand to a crucial question: What’s missing? and how can we break through?

The Challenge

That’s where the challenge became clear. The brand wasn’t underperforming. It was under-optimizing. The brand's campaigns were live and funded, but they lacked adaptability and precision. Key issues became evident:

• Flat performance: Sales were steady, but not growing

• Inefficient pacing: Ads ran uniformly throughout the day with no optimization based on performance hours

• Limited ROAS and CTR: Click-through rate and return on ad spend weren’t improving

• Expansion on hold: Without performance gains, entering international markets didn’t make sense

To solve this, the team at Arvanza, the agency managing the account, stepped in with a mission: to transform the flatlined growth into scalable, performance-led momentum

SellerMate.AI – Arvanza’s Technology Partner

To power this process across their client portfolio, Arvanza relies on SellerMate.AI, a platform built specifically for Amazon sellers and agencies. It acts as the technology partner that enhances operational and analytical capabilities of agencies like Arvanza by offering automation, real-time visibility, and actionable insights.

From uncovering performance trends through dynamic heatmaps to managing rule-based bid strategies at scale, SellerMate.AI gives Arvanza the tools to move faster, smarter, and with greater precision.

The Discovery

Before building any strategy, Arvanza needed to understand why the brand's performance had plateaued. They conducted a full diagnostic across campaign types, time segments, and ad formats but the real turning point came from their use of SellerMate.AI’s reporting and heatmap capabilities.

Here’s what they discovered through SellerMate:

• Day-based behavioral differences: Clicks and ROAS showed clear differences between weekdays and weekends. Weekends saw higher click volume but lower efficiency, while weekdays delivered more consistent conversions.

• Format-specific trends: Sponsored Brands campaigns drove strong visibility but had erratic ROAS. Manual Sponsored Products worked best for branded terms, while auto campaigns wasted spend on broad matches.

• Bid & ACoS behavior: Certain high-ACoS targets were draining budget with poor returns, while top-performing targets weren’t being fully capitalized due to lack of bid control.

• Heatmap analysis powered by SellerMate.AI: Hourly performance trends helped Arvanza pinpoint peak engagement windows and identify when each campaign type performed best.

ROAS Heatmap

Use of technology allowed Arvanza to identify behavioral patterns that would have otherwise remained buried in raw data. The platform made it possible to not only spot the symptoms, but also trace them back to their root causes enabling Arvanza to plan with clarity and precision.

This discovery phase set the stage for a strategy built on insight and  not just assumption.

The Strategy

With this diagnosis in place, Arvanza mapped out a strategy to inject responsiveness and precision into the client’s campaigns and used SellerMate.AI to make that strategy operational.

Key strategy elements included:

• Target-level bidding logic based on clicks and ROAS

• Custom rules for each campaign type - manual, auto, and brand-focused

• Segmentation of branded vs. non-branded targeting

• Separate strategies for weekdays and weekends based on engagement trends

• Full automation and performance tracking
  

Arvanza’s strategic clarity combined with SellerMate’s infrastructure meant that performance could now be managed intelligently, at scale, and in real time.

Implementation & Execution with SellerMate.AI

Arvanza translated their strategy into an executable rule system using SellerMate.AI. The logic was simple, but powerful:

• If a target had no clicks, bids were increased to test discoverability

• If a target had clicks but low ROAS, bids were pulled back to reduce inefficiencies

If ROAS exceeded thresholds, bids were increased to maximize visibility

The strategy was executed at Bid, Budget, time of day, week of the day levels for Keywords, Campaigns and Placements using all the levers provided by Amazon hyper focus on right targeting. 

Campaigns began adapting dynamically day by day, hour by hour.

It became the engine that powered this operation. It enabled Arvanza to execute thousands of bid and budget changes every day without losing control or oversight.

The Results

The shift was immediate. Within a month:

• CTR increased 1.4x times

• ROAS increased 1.38x times

• Daily ad sales grew by over 41%, breaking through a months-long plateau and setting a new, higher baseline

These weren’t just surface-level gains. They were signs of structural change. This clinical hygiene brand had moved from static to adaptive, from guesswork to precision.

This wasn’t just a campaign lift. It was a system breakthrough.

Scalability & Replication

The most powerful part of Arvanza’s work wasn’t the results alone. It was the repeatability. The rule-based logic, segmentation framework, and time-based strategies developed for the clinical hygiene brand are now being rolled out across other Arvanza-managed accounts. It’s becoming a blueprint for brands stuck in a similar “stable but stagnant” stage.

For this brand specifically, the same logic is now being tested in new international marketplaces, opening new opportunities with the confidence of a battle-tested system.

The Role of SellerMate.AI

SellerMate.AI is a platform built for Amazon sellers and agencies who know firsthand the complexity of ad management.

• Advanced visualizations, heatmaps, and trend reports that helped uncover hidden performance gaps, revealing when and where campaigns were underperforming. These insights formed the foundation of the rule-based strategy.

• Once the strategy was in place, SellerMate.AI platform became the execution layer by automating bid adjustments, managing rule logic, and ensuring thousands of actions were taken daily based on ad performance signals.

Adoption of technology enabled Arvanza to move from insight to impact without compromise making the entire transformation not only possible, but scalable and repeatable.

This allowed Arvanza didn’t just execute more, they executed smarter.