WOMMA's Guide to Disclosure in Social Media Marketing
The new WOMMA recommendations and how Magpie helps you as a Twitterer to be automatically compliant! Read more.
Already a member? Login here
Still have questions? We're here to help! Give us a call: +1 (212) 372-7004
The new matching engine is ready
Posted by 
This has been the top priority item on our roadmap for a while. We’re happy to announce the new matching engine. Our team has introduced a plethora of improvements to the full-text indexing of tweets as well as to the querying mechanisms.
The new engine is already live in all Magpie accounts and a few of you may have already noticed the new tooltip helper explaining the new query possibilities. From the helper:
Campaign keywords are tags which describe the audience you would like to address. They help us find appropriate Twitterers for you. Try to name keywords which your target group would usually talk about.
By default, all words must match for a Twitterer to be selected. You can refine your keywords by using AND, OR, NOT, double quotes, and brackets.
Examples:
- design OR fashion OR style NOT webdesign
- ( cell OR phone OR mobile ) AND battery
- " michael jackson "
Personally, I am very excited about this improvement as it will allow our customers to target their campaigns even better, hopefully resulting in much higher click through rates and engagement.
Latest articles
A warm welcome to our 2,000th Customer!
Today, the team at Magpie is celebrating their 2,000th customer. Read more.
Introducing improved click tracking
As of today, we're moving from our own click tracking algorithms to using bit.ly, Twitter's favorite link shortening and reporting service. Read more.
Announcing filtered approval
Reviewing twitterers has just become more comfortable. Advertisers can now filter and group-review selected Twitterers “pre-tweet” or “post-tweet”.
Read more.
Comments
Zuls said on Monday, October 12, 2009:
I have tested this features. I really like this new algorithm.
Robert Clear said on Friday, October 23, 2009:
wow, I like this approach much better than the vague topic categories other services ... much better targeting this way!
cheers