

Epson is a global leader in printers, projectors, and imaging technology. As a Vendor Central brand, Epson faced limited visibility into keyword-level demand, making it difficult to allocate advertising spend efficiently and identify true growth opportunities.
Nectar restructured Epson’s Amazon advertising strategy using Brand Search Query Performance insights and iDerive analytics. The result was a 153% increase in ad-attributed sales with only a 3% increase in ad spend, driven by disciplined demand alignment and budget reallocation.
Nectar unlocked access to Brand Search Query Performance data and paired it with iDerive’s proprietary platform tools to build a clear growth and incrementality roadmap. The strategy focused on measurable opportunity, keyword and product segmentation, and strict budget efficiency.
Enabled access to Brand Search Query Performance data, providing visibility into keyword-level purchase share and competitive positioning.
Analyzed search query data to identify where Epson was over-indexed, under-indexed, or losing share, surfacing demand gaps and inefficient spend.
Reclassified keywords and products based on measurable demand and opportunity. Aligned newer and higher-margin products with search terms where incremental share could be gained.
Shifted budget away from low-impact coverage toward high-intent search terms with validated growth potential, while keeping total spend nearly flat.
Tracked purchase share and performance post-reallocation to ensure gains were incremental and sustained.
During Q4, Amazon’s most competitive period, Epson’s restructured advertising delivered measurable growth without expanding the budget.
Ad-attributed sales increased by 153%.
Total revenue increased by 15%.
Units sold increased by 24%.
Ad spend increased by only 3%, remaining effectively flat relative to performance gains.
These results were driven by improved demand alignment and disciplined budget reallocation rather than incremental spend.
In addition to the core strategy outlined here, we leaned heavily on Intentwise to help us move faster and scale more efficiently. Rule-based automation made it easier to keep bids, budgets, and campaigns aligned with performance by automatically reacting to changes in real time, rather than relying on constant manual updates.
We also used dayparting to push spend into the hours and days that were consistently driving stronger engagement and conversions, which helped cut back on inefficient spend SOV tracking gave us clearer visibility into how we were stacking up against competitors, allowing us to be more intentional about where to push harder and where to pull back.
Lastly, bulk actions let us roll out optimizations across large groups of campaigns and keywords quickly and consistently. Together, these tools helped us spend more efficiently and magnify the impact of our keyword and budget shifts, ultimately contributing to the strong ad-attributed sales growth highlighted here.