top of page

How an agency used automation and AMS data to increase the sales of a gourmet food brand by 59% in 1 Month

Writer's picture: Akash SinghAkash Singh

Updated: 6 days ago

 

Results of the agency using sellermate.ai-59% sales increase, 2000 daily bid changes, 120 hours saved with automation.

About the Agency

One of our client agencies is a pioneer in taking offline brands online. A lot of big retail brands have struggled in adapting to the online marketplace model. They excel in helping brands ace multichannel Ecommerce. From small sellers to large brands, they have experience of managing end to end online presence. 


 

The Challenge

A gourmet food and spice brand with a high quality product partnered with the agency to scale their brand online. After scaling them on Amazon to a place where they reached the top 10 organic ranking in most of their categories, the growth started to stagnate. PPC experts also started studying customer behavior data trying to find unaddressed gaps. The team found some interesting patterns in buying and impressions data which the team wanted to utilize. The challenge was that making multiple changes across campaigns throughout the day manually was impractical. Further, gathering and keeping a track of hourly data and updating the execution based on results would take up a lot of dedicated bandwidth. 


 

The Solution

They partnered up with SellerMate.AI platform to solve the problems of changing bids multiple times a day for hundreds of products while maintaining track of the changes. SellerMate.AI is one of the fastest growing PPC automation tools for Amazon with Advanced AI, Reporting and Automation capabilities. 

Bar chart showing ad spend in blue, ad sales in red and ACoS is orange line. Arrow indicates 59% sales increase.

Hourly Heatmap data

SellerMate.AI is completely built upon Amazon Marketing Stream data - which allows it to plot and analyze behavior data at an hourly level. Agency experts sat down and started to validate their observations and started building the strategy to take advantage of variation in behavior data. 

Heatmap chart indicating varying data intensities.


Budget dayparting

The first observation by the team was around conversion rates and budget consumption patterns. They observed a mismatch between when they were spending their budget on ads and when their conversion rates were the highest. To rectify this mismatch, the team used Budget dayparting from SellerMate.AI to distribute budget in a way to ensure maximum spending in their peak conversion times. 

Flowchart showing campaign budget adjustments in budget dayparting.


Hourly Bid dayparting

Further to double down on the conversion rate changes and to take advantage of variation in CPC, the team set a pattern of bid changes in a way that increases the bids when the chance of conversion is higher aiming for higher impressions in peak times. 


Table illustrating bid dayparting. Time slots on the left, days of the week at the top, with multipliers filling the grid.

 

The Results

  • Sales for the brand increased by 59% within the first month because of the automated bidding.

  • The increase in sale was achieved with maintaining the ACOS within 1 month due to the strategy.

  • Automations built within SellerMate.AI platform allowed over 2000 bid and budget changes each day without any manual intervention. 

  • Automations saved over 120 hours of manual work each month allowing the team to focus on more strategic things that would lead to more ROI to clients instead of manual repetitive work.



68 views0 comments

Recent Posts

See All

Comments


bottom of page