We love digital - Call
03332 207 677 and say hello - Mon - Fri, 9am - 5pm
Call 03332 207 677
Unlike 08 numbers, 03 numbers cost the same to call as geographic landline numbers (starting 01 and 02), even from a mobile phone. They are also normally included in your inclusive call minutes. Please note we may record some calls.
Last week we looked at the new Google AdWords Campaign Experiments (ACE) feature and tried it out for ourselves to see how it worked.
We set up one of our campaigns to run an experiment. We set the split with control at 50/50 of total impressions to the campaign and told Google to increase our bid prices by 100% for the experiment.
Well, interesting! Overall the results weren’t astonishing, we did get an additional conversion through an experiment impression (wow!) but the concept behind the experiments feature is great and what we were really interested in.
The campaign we used had relatively low traffic but as you can imagine a bid increase of 100% on a campaign that has thousands of impressions per day can be quite a significant change on spend!
Other things to consider
At present the Adwords Campaign Experiments tool is not fully supported by AdWords Editor, therefore seeing scheduling and making amends to experiments needs to be done through the AdWords interface only.
Bid Management Tools
Bid management tools will continue to work as normal with ACE however it is recommended you speak to your software provider to ensure your system is fully integrated and to learn their best practices for running experiments with ACE. You might not want your bid management software taking over your experiments as well!
For some serious data to review, we will be trying this on a campaign that has slightly higher traffic to get the numbers rolling.
Give it a go yourself! Let us know how you found it and what sort of things you experimented with. Happy testing!
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.