Social Media Analytics Blog

Brandwatch & quintly Webinar – The ideal Social Media Analysis for businesses

The Difference between Listening & Analytics explained – finally

On July 9 we are running a joint webinar with Brandwatch and iCrossing, which will highlight some key differences between Social Media Listening and Social Media Analytics. These two terms are often mixed up but for setting up a perfect social media strategy it is essential to differentiate and use both simultaneously. Susanne Ullrich, Head of Marketing DACH from Brandwatch, will provide attendees with an overview of what a listening tool is capable of and our CEO and Co-Founder Alexander Peiniger will clarify about social media analytics. Daniel Gschaider, Digital Communications Strategist of iCrossing Germany, will moderate the session and show how both approaches can work perfectly together. This webinar will be hosted in German and then targeted to our english-speaking audience, too. Thus, the following article will outline details in German.

BWWebinar (more…)


Launching Gauge, Continuous Bubble and Funnel Charts

Since we are continually striving to perfectly match our customers’ needs and want to offer the best possible service we had already launched our QQL (Quintly Query Language) last year. This feature enables all customers to create individual metrics for their dashboards and reports. Over the last year, together with our customers, we have created a huge base of custom metrics and we would like to share some brand new chart types with you.

Gauge Chart

The Gauge Chart gives you the possibility to visualize a target you have set for any KPI in direct relation to the current status quo. It can be used as a targeting metric, for example, if you have a specific number of followers, number of average likes per post or interaction rate value you need to acquire within a certain time period. You can steadily compare the actual value with the set target to see how well you are performing. As in the example below, you can check your current total fan count against the individual goal you have set.

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This chart type is especially useful for agencies managing a number of different client accounts. It helps keep track of all different targets much faster in one view.
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Integrating quintly with Klipfolio

Besides using our tool directly, there are several use cases where it makes a lot of sense to integrate our data into existing dashboard solutions like Klipfolio and Geckoboard. This is especially helpful if you want to create dashboards and reports across different disciplines, e.g. combining website analytics, your own sales numbers and social media data. By using our API you can easily integrate quintly data into other services. In this article we want to show step by step how to integrate our data into Klipfolio, a very well-known dashboard solution.

1) First things first: Access to our API

Before being able to integrate with other services, you need access to our API. All paid packages automatically get access. Anyhow, additionally you need to ask our support team to provide your personal Client ID and API Secret. These will then be used to authenticate via basic auth later on (see our API documentation for more details). Basically you can then ask for any data point we also provide within the tool. And even better, you can use QQL queries to exactly fetch the data points you are looking for.

2) Access to Klipfolio

Well, this one is obvious: You need access to Klipfolio :-) Any of their packages is fine to integrate other providers like us.

3) Set up a new data source for quintly within Klipfolio

Now lets start integrating. Our goal for this step by step how-to is to show basic fan numbers for BMW within Klipfolio. You will easily see that you can bring in any other number into Klipfolio using the same approach.

Underneath any metric (called Klip within Klipfolio) there is one or more data source providing the data to be shown. Once logged into your Klipfolio account, you simply need to go for Library > Data Sources and click Create a New Data Source. The following options will show up: (more…)


Launching Private YouTube Analytics Integration

Following the model of the already existing Facebook Insights integration, we have now also extended the set of YouTube Metrics with the integration of the admin-only YouTube Analytics. With this update it is now possible to track your private YouTube analytics in quintly and add all these private metrics to your personalized dashboards and individual reports. Altogether the new feature allows you to get a much more detailed picture of your YouTube performance.

Advantages of Youtube Insights

From now on you have direct access to all historical data of your YouTube channels so you can track daily snapshots as well as relative counts for any chosen time period, e.g. the relative view count of a video across 2014.

For a detailed analysis on channel level you can now see unique views for each of your channels. Furthermore, you can categorize all channel metrics by country, per traffic source or playback location.

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Another valuable feature coming along with the launch is the Top Ten Videos Table. In one view it lets you check out the top ten performing videos of your chosen time period and you can sort these by any of the given metrics.

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