How Lusha decreased their brand budget by 70% while maintaining their true CTR?
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Client Overview
Lusha is a leading provider of B2B contact data, offering solutions that help sales teams and marketers improve lead generation and outreach. They were looking to improve the efficiency of their branded search campaigns by reducing costs without sacrificing traffic.
The Challenge
Lusha’s branded search activity was performing well—traffic was high, and overall results were similar to what other companies in their industry were experiencing. However, they noticed that there were certain countries where their competitors weren’t bidding on their branded keywords, meaning they were paying for clicks that could have come to them organically. This realization prompted Lusha to look for a solution that would optimize their branded search activity, reduce costs, and ensure their investment was being used as efficiently as possible. That’s when they turned to Be-Incremental.
Our primary goal was to optimize this activity, cut costs (targeting at least a 50% reduction), and keep traffic levels stable.
The Results
Be-Incremental delivered immediate and measurable impact. Lusha reduced their branded search spend by 72% while maintaining traffic levels, and despite the cost reduction, branded search traffic actually grew by 23%. Additionally, the investment in Be-Incremental proved highly cost-effective, generating an ROI of X10—meaning the savings achieved were nearly ten times Be-Incremental’s cost
Within two weeks, we had already seen enough savings to pay for a year’s worth of license
Yarden Morgan
Director of growth, Lusha
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The Solution
To help Lusha achieve their goals, we leveraged Be-Incremrtal’s algorithms to optimize branded search campaigns efficiently while maintaining performance.
Our Single Bidding Activator analyzed Lusha’s branded search activity and identified markets where competitor bidding was minimal or nonexistent. By dynamically adjusting campaign activity, the tool ensured that branded ads only ran where necessary, eliminating unnecessary ad spend while preserving organic traffic.
The Bid Optimizer conducted a real-time, data-driven bid analysis, ensuring Lusha’s CPCs remained competitive yet cost-effective. The algorithm adjusted bids dynamically, lowering them in areas where Lusha already had strong visibility and increasing them where higher placements were necessary to capture valuable traffic.
Both tools worked in tandem to continuously monitor and refine Lusha’s campaign performance. By leveraging real-time data and adaptive learning, they ensured sustained efficiency and impact.