What enterprise analytics platforms are best for measuring both marketing performance as well as product engagement/usage for SaaS products?

A2A. I understand your frustration having been in your shoes in prior corporate roles. Short answer - In my knowledge, there is no single product that meets all your needs on the marketplace today. Long answer - The current products are either purely acquisitions/digital marketing oriented, or they are CRM/post-acquisition oriented. The two worlds do not meet and that is a huge gap. There are tools like Hootsuite and the Web analytics tools you have mentioned on one hand which are evolving for acquistion based communications/analytics and a myriad CRM solutions from IBM, SAS, Salesforce and numerous others for the post-acquired customer management. And yet another set of (mostly) BI systems for simple analysis/dashboard executive reporting and finally another set of mostly custom solutions (using SAS) for undertaking modeling. I did try my hands at a product from one of the BIG names in analytics to solve a problem exactly like the one you are stating -- i.e. to marry back end analytical model scores into a real-time operational system to provide user/usage profile (including ideally acquisition source) driven recommendations. However the product was clearly architected by someone who had no functional knowledge of marketing analytics & other operational requirements.  Thus that experiment did not work out (frustrating!). The price tag for the product was steep too - $1m+. (The product was purchased just before I'd joined the team and so I 'had' to try to make it work!) The reality of the matter is that there are likely very few experts whose knowledge straddles multiple areas to be able to build a product of this scope - the range being web (log) analytics, customer/retail analytics, BI systems, ecommerce and pricing dynamics, multi-currency based operations, and systems modeling to be able to conceive, architect and build such a system  -within time and budgetary constraints - which will be a significant undertaking. Furthermore, each industry would likely require its own flavor and that is the reason why no single solution exists but the gap is staring in your face for marketers like yourself.   For some foreseeable future therefore the inefficient cobbling together of solutions at large organizations is a reality that will persist. For the past year+ I have been working on developing an inhouse product at the moment that is meant to evolve to these needs. The first phase will be ready to go into beta fairly soon.  Knowing the reality or the enormity of such an undertaking what we are attempting is a modest beginning to approach this big problem.  Our strategy with this product is to then complement our product with our analytical services, where we have deep expertise in. We hope to thus  presently create custom solutions as necessary to meet clients needs, and evolve over time. I'm sorry that my answer does not help you, but if you don't mind helping me, please do write to me  at .  Given that we are right in the midst of this development effort, the conversation would be very valuable to me.

I am trying to answer the same question and have found RJ Metrics pretty interesting. It seems to have more use cases with e-commerce, but I think it is a good solution for SAAS companies as well.

"Out of the box" most analytics products will specialise in either the top half of the funnel (acquisition) or the bottom half of the funnel (product engagement, renewal etc).   This is because a lot of marketing data becomes stale very fast. For example: There's not much a marketing team will do differently based on landing page performance data from 2 years ago. Where as all the product usage data never goes out of date and is still relevant years later, for example to be used as a 'training data set' for a predictive analytics algorithm about customers who may churn. At my company, we're typically focussed on the bottom of that funnel, however many of our customers use our platform cross department in marketing, support and sales because of our granularity in the data. I think this is because we don't do any data sampling and everything is tied to a person, not rolled up into "visitors". All of the raw event data is kept intact. So while our pricing is based on 'contacts' rather than visitors, the platform itself can be perfect for marketing uses. However, to see the performance you'll want (all reports <5sec) at your volume will definitely require an element of pre-processing to ensure most common reports are cached. Simply pulling all queries in runtime is going to be painful, and this is how most platforms like Trakio pull reports on that granular data. SHAMELEAS PLUG - feel free to skip this last part... I'd love an opportunity to talk with you and give you an idea of how we'd be able to give you the best of both worlds. We're a younger (but funded) company focussed on big SaaS & enterprise which means we have the agility (and hunger!) to adapt our platform around you. So we could have all the commonly accessed reports (and custom reports) cached hourly/daily but also maintain the 'on demand' reports available as needed. This would make the product feel snappy and fast, even when querying 100M+ contacts. If anyone wants to get in touch with me directly, just reference this Quora thread.

We (at http://Nalpeiron.com.com) specialise in offering Software Analytics for Desktop Apps. It's really easy to set up and allows you to see the usage of your product, including which features are used, and how. You also get to see a breakdown of your users by Operating Systems, Geography, and more... Obviously, we care a lot about end-user privacy so everything is anonymous and end-users have to opt-in. However, they have the option to use their own names if they want to, to help you understand them better (which is super useful for handling beta testing, for example.)