Kissmetrics vs. Splunk Observability Cloud

[Kissmetrics is well suited for the] abandon cart scenario to re-engage users on the purchase journey. Engaging users to personalized content using the visit metrics derived from the data captured at each digital touch points. [Implementing] website campaign and journey orchestration is easy. You get visitor profile to segment upon using different visit metrics and action.

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Its great if you need real-time visibility across complex or regulated environments. Also strong for hybrid or multi-cloud setups where uptime, observability and fast IR are required. It’s probably overkill for smaller teams or environments that don’t have constant changes or compliance reporting needs. It's expensive and has a steep learning curve. Also, in my opinion, do not get yourself into a consumption based model. Costs can certainly get out of control quickly.

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• The more events you track and properties you send along, the more you can see how specific users use your product/service. The user based timeline gives you a perfect start point to get in touch with users, because you can see where they get stuck.
• Tracking your traffic sources and how they influence conversions is awesome. You can get a perfect view of how much a traffic source contributes to revenue.
• Funnel reports give you more insights into micro and macro conversion steps and give you actionable data to work with.
• Customer support!

• The first one is its Kubernetes container monitoring.
• I really like this features because as we know how much K8s is vast and to manually monitor each part of the Kubernetes it takes so much time but Splunk Observability Cloud makes it easier. And even once we integrate K8s with Splunk Observability Cloud it gives us some prebuilt dashboards which gives holistic view of our Cluster and its nodes, pods, etc.
• The dashbaord feature of Splunk Observability Cloud, it gives us full flexibility to customize our dashboard with a wide range of predefined chart types.
• Now it also supports OTEL, which is a plus point for observability. As now everyone is moving towards Otel and in current market there are only few tools who supports OTEL based integrations, Splunk Observability Cloud is one out of them.

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• Installing.... yes this is also a negative. While you can install and have the program running in minutes, if you use Unbounce, the form tracking process is quite complicated!
• Updates... I feel like the product updates have slowed a lot lately. Thankfully, the product functionality is so amazing that it hasn't impeded the use of it. However, it is still disappointing to see less frequent software updates.
• Occasionally clunky UI... there are a few reports that are really easy to mess up and leave you scratching your head on why it isn't showing you any data.

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• You can use table-like functionality to generate dashboards, but these queries are heavy on the system.
• It could be easier to give insight into what type of line parsing is used for specific documents in a company-managed environment and/or show ways to gain the insights needed.
• I would like to see ways to anonymize specific data for shared reports without pre-formatting this in a dashboard on which reports could be based.

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Price sensitivity and the different choices that now exist in the Analytics industry. I think it makes sense for us sometime this year to rethink our analytics strategy to see how we may leverage the best of GA (which has included lots of new features and updates the past years_, Kiss and other tools as need be

Good: Stable system with low error rate Easy to use for simple use cases Bad: UI is not very clear for complex usage Mobile view (when logged in from phone) is bad No library for .net

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Right after login, you'll get to a dashboard which shows you a quick view on how your business is doing across the events you are tracking. There is no need to dig deeper than that unless you want to, in which case it's very easy to do so just by clicking on the metric on which you want more information. The interface is very intuitive.

When there is an issue, it’s a win if one can easily identify the root cause. To do the same, it should allow the user to dig deep with multiple data points and compare the data and identify the anomaly. In this use case, it’s good to drive from Splunk 011y.

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The application was very rarely down; during the period we used the application, I can think of only two or three occasions in which the site was down. Notably, at no time was the the performance of our own site compromised as a result.

Speed improved dramatically as the service matured. Early iterations of the publicly-released application would occasionally provide slow processing of results, but those delays became much rarer occurrences during the last year that we used KISSmetrics. One of the more impressive views (which started out feeling more like a toy) is the live view of visits. Knowing that you could see, in real time, what events a user triggered, was gratifying and instructive.

Our front-line product support person (Mika) is great. She is responsive and great to work with.

However, the data accuracy issue described earlier is the reason for the low score here. This issue was escalated from front-line to support to level 2 technical support and then it disappeared into a black hole. Escalations, in general, do not go well. We get no response for days, or I have to chase things down. This is not acceptable. Marketing metrics are critically important to me and I need answers quickly. I cannot afford to wait around for days / weeks for a response.

Just to be clear, these comments only apply to escalated support issues.

Splunk support is very quick and efficient. Pre-sale specialists are very skilled and available.

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Again, we were fortunate to work with KISSmetrics as they built their application, but Hiten, their CEO and founder, was incredibly helpful to me personally, and to our metrics-driven business as a whole, as we adopted their tool.

I loved this aspect of the product. It wasn't just that the documentation and online tutorials are great - which they are - the on-boarding process though was really stellar. Once you have set everything up, you get a welcome message followed by a step-by-step guide to get you started that is built right into the product interface. For example, the UI asks you to first do X, and then copy this code snippet and send it to your developer who will know what to do with it. When you come back after the first interaction with the product, it continues the process by explaining right in the UI how to track events etc. This kind of step-by-step approach is incredibly efficient. Although there are various forms of supporting documentation (PDFs videos etc) to support every step, you don't really need them. This approach means that you are up and running very quickly with virtually no training time or documentation consultation. Highly efficient process.

In order to build trackability down to revenue, there was quite a lot of work to integrate Kissmetrics with our software and internal process. We had to build the hooks so that Kissmetrics could call back into our software and billing system, etc.. However, we didn't need additional expertise to do this. Once you understand the API, and you own systems, making it work is not too difficult. We did not require an outside consultant or anything like that

Follow a training before starting.

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Kissmetrics is a next-level step up for people who are used to getting their tracking and reporting from Google Analytics or Shopify's CMS. While HubSpot arguably has a better user interface, Kissmetrics certainly has the power and usability necessary to track important conversion data and help you make better marketing decisions.

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Splunk Infrastructure Monitoring provides far superior options for anybody using a complex hybrid multi-cloud environment and allows both your SOC and NOC to work together on the same data while driving their own insights. We found other products are still in the old world view of servers and agents residing together within a single data centre, but modern apps are no longer like this.

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• Unfortunately for this client (small business) the cost of Kissmetrics was just too prohibitive. But it's obvious that for a larger company that can afford it, the data would be invaluable to gain more insight in how to gain more active users and orders for a funnel.
• The data provided really increases an understanding of how best to provide the right experience for the users...happy users equals increase in ROI.

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• Significantly reduced the MTTR (Mean Time To Recovery), which in turn has improved the end-user experience tremendously.
• Meets compliance requirements of security policies, audit, regulation, and forensics.
• Helps us to track/manage the resource usage on our cloud instances which has a direct implication on the recurring cost.

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