Predicting tail performance more accurately while controlling the risk-reward trade off.
Maximize results through low-frequency keywords.
It’s natural to focus on generic, high-frequency keywords when building out your search campaign. But what if you’re not getting as many bites as you’d like? Research shows it’s time to shift your focus to maximizing your campaign’s other set of keywords: the tail.
These unique, low-frequency keywords are just as critical to your campaign’s success as their high-volume counterparts. Our white paper sheds light on the science behind the tail, and why it’s time these keywords get the attention they deserve.
Mastering the ‘tail term’ technique
Since tail term keywords can number in the thousands and even millions, an automated and accurate approach is necessary for success. One such approach is Adobe’s tail management model. Our white paper, “The tale behind the tail,” discusses how this method works to help you more accurately predict and manage tail performance.
You’ll also learn how to:
- Decide which is better for your campaign: heuristics or algorithms
- Locate the best opportunities for discovering new profitable keywords
- Determine what the ideal tail term management system looks like
Unlock the potential of low-frequency keywords.
Read our full report and discover how a little tail management can give you serious revenue boosts over time.
What is Keyword Research?
is the process of finding popular search terms and subsequently using them to perform search engine optimization (SEO) for a website. Internet Marketers and SEO professionals use keyword research as a part of their inbound marketing strategy. Once a niche keyword is found, it is being expanded upon to find similar keywords. The process is usually aided by keyword suggestion tools, which offer thesaurus and alternate keyword suggestion functionality.Most of the time the various search engines provide their own keyword suggestion tools as well which also include the number of searches made for each of those keywords. This information is then used in order to select the correct keyword depending on the SEO goals of the website.