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Greenlight Applies Wall Street Tool to Online Ads
“Quant” Enables Marketers to Forecast Pay Per Click Campaigns
“For all its stunning growth, the pay per click market has only reached the multi-billion dollar stage, a fraction of the size Wall Street has to manage on a daily basis,” said Hannah Kimuyu, PPC Director at Greenlight. “We’ve applied the tools that Wall Street uses to manage trillion dollar markets to make pay per click campaigns predictable – and much more profitable.”
By definition, the vast majority of PPC campaigns are rules-based, tightly constricting their ability to adapt to changing conditions. At a rate of 100,000 calculations per second, Quant mines a paid search campaign’s historical and ongoing performance data and reconfigures it hourly with the best combination of keywords and bid prices. Its predictive model algorithms also identify obscure or minute profit margin patterns that can be quickly exploited to deliver even greater traffic and orders. Quant’s artificial intelligence engine enables it to learn, improving its predicative capabilities over time.
“Marketers may be happy with the profits search engine marketing has delivered, but it’s my privilege to point out that they’ve just scratched the surface,” said Warren Cowan, chief executive officer, Greenlight. “Knowing how keywords will perform means campaigns that consistently beat the competition’s and deliver every possible return on an investment.”
The launch of Quant follows a series of innovative products, services
and strategies that Greenlight has introduced to the online advertising
industry. A recent entrant to the U.S. market, the company has been
tapped by top brands operating in Europe for its consulting, search
engine optimization, pay per click advertising and training offerings.
In the last year, clients such as American Express, Audible.com,
Radisson Hotels & Resorts, and Monarch Airlines have credited Greenlight
with boosting sales by as much as 344 percent. Greenlight itself reports
476 percent revenue growth over the last three years.
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