Marshall’s experience and track record building hundreds of brands and maximizing companies’ sales is what really sets us apart. We leverage our knowledge, relationships and the trust we’ve built with our customers and clients to dynamically plan and build comprehensive strategies and solutions to address market needs. We pair this with Teikametrics Data Driven Solutions to scale our operations and maximize results for our brand partners.
The following Case Studies were conducted by Marshall eCommerce
CLIENT: TOY MANUFACTURER
How do we create incremental ad-revenue and in turn incremental POS while holding ad-performance and ad-efficiency constant?
We A-B tested the power of bid automation, releasing all campaigns into the machine learning flywheel on 3/3, seeing the Teikametrics Flywheel manage hourly bid optimizations.
Implementing full bid automation, we saw an improvement in major adperformance metrics, increasing ad-revenue by 47% in less than 60 days. More importantly, this drove a 32% POS increase out of season with an $12 improvement in total return on ad spend and consistent CPC.
3/3/19 Launch Point of Bid Automation in All Campaigns
One of the things we love about Marshall eCommerce is the guidance that they provide for their brand partners. They are always finding new opportunities to accelerate the goals of their brand partners. Marshall is an innovative partner; they combine an abudance of full-service commerce services with automated technology & data driven insights.”
CLIENT: HOME IMPROVEMENT
In a global home improvement company with an AOV of over $100, we wanted to clean up existing advertising campaigns to ensure spend is allocated and prioritized by top keywords and SKUs. Prior to deploying this strategy, campaigns had on average 15 SKUs in each with poor performing keywords dragging down overall performance.
Allocating heavier into top performing keywords
In high competition times, bid aggressiveness on those keywords is highest.
Higher willingness to spend on core items
Teikametrics allows us to input bidding controls to reflect our priorities and advertising objectives.
In real time, catch any long tail irrelevant search terms to be proactive in reducing wasted ad spend.
Machine Learning that learns!
The more data Teikametrics’ platform digests regarding past conversion rates & appropriate bid levels, the more accurate their future changes will be.