Mobile app analytics provider Localytics, a graduate of the 2009 TechStars Boston class, has raised $2.5 million in new funding from Launchpad Venture Group, New York Angels and Hub Angels. This brings the company’s total funding to over $3 million.
Localytics offers a comprehensive mobile analytics platform to help give app developers and publishers with real-time reports on how customers use their applications on Android, Blackberry, iPad and iPhone devices. The startup’s product can be used to monitor basic usage, custom events, and enables publishers to dynamically generate custom segments and chart results with hourly granularity.
Today, Localytics is also unveiling a new premium offering, which includes a custom charting feature to build and share customized reports, additional analytics and more. time. Additionally, a new App
Comparison tool allows developers to compare performance across a number of apps. Developers can see which apps are contributing most to growth across different markets and platforms. The Premium version costs $95 per month for Android, BlackBerry, iPad, iPhone and Windows Phone 7 applications.
We have a number of discounts for the service. Readers that enter TC35X6 as a coupon code when signing up here for Localytics Premium before April 30, will get 35% off their first 6 months of the analytics service.
Localytics’s platform is being used by a number of well-known companies including News Corp., Skype, Bluefly, RueLaLa, Turner Broadcasting and more.
More: http://techcrunch.com/2011/04/18/localytics-raises-2-5-million-for-mobile-analytics-platform
Filed under: #mktgcloud, Datarati, Revenue Performance Management (RPM) | Tags: Revenue Performance Management
Revenue Performance Management (RPM) What is it? Why should you care?
Lauren Carlson, CRM Market Analyst from MarketingAutomationSoftware.com explains.
Revenue Performance Management specialists within organisations are led by the YouTube generation.
Presentation on RPM is here: http://www.datarati.com.au/index.php/featured-posts-on-main-page/presentation-revenue-performance-management-rpm/
This is awesome: http://www.b-reel.com/projects/3live-shop/
So why would you need additional Intelligence? For starters, you’ll get new alerts in your Intelligence reports that are only available by redeeming the Google Analytics Gift Card.
Filed under: #mktgcloud, Datarati, Marketing Automation, Marketing Cloud | Tags: Marketo
Our US technology partner Marketo, the fastest growing provider of Revenue Performance Management solutions, today announced that the company has surpassed the 1000 customer mark.
Marketo passed this milestone in less than three years, adding 146 customers in the first quarter of 2011.
This explosive growth rate and fast revenue ramp further strengthens Marketo’s position as the Revenue Performance Management market leader, and positions Marketo as one of the fastest-growing software-as-a-service (SaaS) vendors in history.
Please visit www.marketo.com/1000-customers to watch a video of customers sharing how Marketo helps them accelerate revenue at their organisations.
LikeAudience is a new marketing research tool created by the Cambridge University Psychometrics Centre that provides psycho-demographic profiles of Facebook Page audiences. Users can see stats about the age, gender, location, friend count, personality, and the other Pages Liked by the fans of a specific Page, or find Pages with audiences that match a specified set of attributes.
Though the sample size is currently low, LikeAudience could help marketers understand the fan bases of their own or a competing Pages, or to determine targeting parameters for Facebook ads.
LikeAudience is adding the information of 100 thousand new profiles a month to its initial 50 thousand profile base, partly in thanks to a partnership with Facebook personality quiz apps myIQ and myPersonality. The data is used anonymously to protect privacy.
Visitors to the site can search for a specific Pag the psycho-demographic profile of its audience, as shown for the Barack Obama Page above. Alternatively, they can move sliders for a variety of personality and profile traits such as openness, extraversion, relationship status, or age and see Pages that who audience’s fit the attribute set. For instance, a search for Pages with audiences of liberal older men returns the liberal, crude, 1970′s author Dr. Hunter S. Thompson, whereas conservative, younger women returns reality TV show Laguna Beach.
LikeAudience also provides a set of “extreme Likes” or Pages Liked by people on the two ends of an attribute’s spectrum. This provides an enjoyable way to learn about what types of preferences are linked to what aspects of a person’s profile. Users can publish Page audience profiles to Facebook, creating an easy viral distribution channel for content that seems natural to share and discuss with friends.
While fun just to browse, LikeAudience has great potential as a serious marketing tool, as it provides data absent from Facebook’s analytics tool Insights. Page admins can analyze their own Page to discover what kind of content would make compelling Page updates. If an admin learned a high percentage of its audience is in a relationship, or is extroverted, it might suggest fun group activities or gift ideas.
Advertisers looking for targeting parameters that will drive high quality clicks can also use LikeAudience. The Similar Likes data can be used to find Pages to enter as targets in the Likes & Interests section of their Facebook ads. Learning that the Page being advertised to has a concentration of users in certain city, or have a high IQ could lead the advertiser to target certain locations or education levels.
LikeAudience does show some random community Pages with few Likes, adding noise to the search, extreme Likes, and similar Likes features. However, as more data is added to the system, the site should be able to refine its algorithm to return larger Pages. LikeAudience could become an important complement to social media monitoring for brands looking to understand their fan bases.
More: http://www.insidefacebook.com/2011/03/31/likeaudience-page-demograph-traits
