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For anyone using Twitter, the ability to analyse their data is made very easy, dare I say enjoyable, with Twitter Analyzer.
This free service provides an overview of your Twitter activity, for example, the number of “Tweets” on a given day and the reach of your readers.
There’s a number of icons displayed below the initial entry chart. You can get s snapshot of your most popular topics, analyse how your links and even see the types of groups that the people you follow, or are following you, fall into.
I’m sure that Twitter Analyzer will continue to evolve but it already provides a useful resource for anyone looking to delve deeper on their Twitter stats.
In today’s multichannel world, there are mountains of data which provide insights into how users have interacted with your business and their path to conversion (or non-conversion). It is important to understand performance with multichannel marketing, which can be achieved through attribution modelling. Attribution refers to assigning credit to something (a channel, touchpoint, etc.) for the role it played in the final conversion. An attribution model is a rule, or set of rules, that assigns this credit correctly to the right channel or touchpoint.
For a long time, Bing, the UK’s second-largest search engine, has been underappreciated and, in some instances, even ignored. Often regarded as the inferior search engine to market leader Google, Bing has historically struggled to appeal to many in the digital world. Most PPC analysts would give justified reasons for neglecting Bing for so long; these include the volume of traffic and the user experience just not matching up to Google. However, the validity of these assessments is now diminishing. Bing has grown and improved rapidly in the last couple of years; if you are not integrating it into your comprehensive digital marketing plan, you run the risk of missing out on a large portion of your chosen market and significant revenue.