Abbey & Sullivan: Scaling Monthly Revenue

Abbey & Sullivan is a consumer brand focused on quality, reliability, and customer-first products. Operating primarily through Amazon, the brand had solid fundamentals and consistent demand but lacked the structure needed to unlock its next phase of growth.

As competition intensified and ad costs rose, Abbey & Sullivan partnered with Clickstera to move from steady sales to scalable, predictable growth.

Abbey & Sullivan wasn’t failing; it was underscaled. Abbey & Sullivan wasn’t failing; it was underscaled. Steady demand existed, but revenue had plateaued, and campaigns weren’t fully aligned, wasting spend. In a competitive Amazon market, growth required smarter strategies, not just bigger budgets. The key question: how to double revenue efficiently?

Limited Revenue Momentum

Despite consistent demand, monthly revenue had plateaued, limiting reinvestment and growth velocity.

Inefficient Scaling Levers

Listings, ads, and keyword strategy weren’t aligned, leading to wasted spend and muted performance.

Competitive Amazon Landscape

Winning visibility required smarter ranking and conversion strategies, not just higher budgets.

The core question:

How do you more than double Amazon’s revenue without sacrificing efficiency?

Foundation-First Optimization

We rebuilt the listing structure, keyword coverage, and conversion elements so every paid click had a higher chance of converting.

Smarter PPC Scaling

Campaigns were re-engineered around:

High-intent keywords

Match-type segmentation

Performance-based budget allocation

Sustainable Growth System

Instead of chasing spikes, we focused on steady month-over-month gains designed to compound over time.

Controlled Reset for Clarity

All legacy campaigns were paused.

This removed inherited inefficiencies and allowed a clean, intentional framework to be built from scratch.

Sometimes, the fastest way forward is a disciplined reset.

Product Segmentation by Business Role

ASINs were grouped into:

Top sellers (revenue drivers)

Mid-tier sellers (growth candidates)

Focus products (visibility & data)

Each group had distinct budgets, bids, and success metrics, ensuring spend followed opportunity.

Match-Type & Intent Segmentation

For every product group:

Clear split by match type

Controlled discovery + scalable exact-match performance

Intentional visibility where it mattered most

Ads stopped being reactive and became strategic.