Enterprise level features

Here are the main features that Piwik is lacking when compared to other commercial Web Analytics solutions (Google Analytics, Omniture, Yahoo! Analytics, etc.).

• Segmentation
• Custom Reports #1736
• Custom date range reports #572
• Event tracking #472
• Custom Variables and reports for these variables (eg. new report for Goals for each custom variable, one generic 'extra report' like GA) #2856
  • is this the same as customData on the client? so...a generic, server-side data store for custom data?
• Custom Alerts #1486
• Internal Search Tracking #49
• Funnels
• Multi-channel/Multi-touch
• Tracking using 1st party cookies #409
• Detail for a given table row (graph for a specific keyword over the last 30 days for metrics like visits, conversions, etc.) #534
• Detailed content reporting (keyword, referer, site page) per page: #756
• Highlight significant increases/decreases in Referers websites, keywords or page views: #57
• Adwords / Adsense integration: impossible due to Google not providing low level data
  • what about other ad servers?
• Asynchronous Tracking code (#1842)
• Advanced Ecommerce tracking
  • examples?
• Cross domain tracking
• Scalability for websites in the tens of millions of pages per day
  • analytics in the cloud (Amazon EC2, Microsoft Azure) -- see ZF's SimpleCloud API
  • PHP PaaS - appfog (formerly phpfog), orchestra.io, rightscale, pagodabox, cloudcontrol
• Ability to compare data for 2 date ranges at once #291
• Reports for clickpaths & integration in other plugins (eg. goals based on clickpath)
• search engine reputation management (SERM) -- "search is the anti-brand", the "long tail" that we can't track directly

Campaign Features

• more user-friendly integration with ad campaigns (e.g. Adwords), making use of the AdWords API ( http://code.google.com/intl/de/apis/adwords/) / Yahoo API  http://developer.yahoo.com/searchmarketing/ for calculating ROI vs. expenses on keyword-level and many other calculations
• conversion funnel visualisation/analysis #220 (or #460)
• compare performance of landingpage x to landingpage y for optimization (variant of #292 or #1434)

Website Optimization

• A/B testing in general #459
• heat maps (aka "in-page analytics")
• mobile analytics (eg web design for resource constrained devices)
• SEO analysis of page content

Vertical Integration

• text analytics (measuring sentiment?)
• sharing and social media analytics (popularity or influence?)
• analytics for video and multimedia streaming
• url shorteners (redirect; safe urls)
• feedback analytics
• email analytics (open and clickthru rate)
• tracking links via QR codes (and other barcodes)

See also

• "The Coming Revolution in Web Analytics" where Eric Peterson defines 1st generation, 2nd generation, and 3rd generation web analytics tools.
• "Social Media Analytics: A New Framework for Measuring Results in Social Media"