Google Ads Budget Optimisation using Data

Google Ads Budget Optimisation using Data

The modern-day consumer lives online, using google for most of the things he wants to know or purchase.

To effectively reach out, it is important to use a Data-driven Approach

which is nothing but optimizing your campaign using data from google analytics.

How does it work?

So, you advertise on google search. You put money on Google ads 360 platform. Google has its own algorithm that spends your money on google ads and in turn google maximizes the money it can take from you. Therefore, you get mediocre results and the money spent goes to waste.

To make sure this does not happen, we step in and help you by first analyzing your google search ads data. We then optimize your campaigns for your KPI’s such as leads, revenues and cost per click. Hence, we maximize the campaign performance efficiency and deliver you millions in savings.

What is an Artificial Intelligence-powered budget optimization tool?

What do we optimize?

SafeStyle Doors and Windows Campaign Overview.

We had an opportunity to work with SafeStyle Doors and Windows and conduct their google search ads budget optimization Campaign, that resulted in a success. Using the aforementioned techniques, we managed to save them over £1.2m annually. Moreover, we lowered their spent for leads while maintaining the volume. Hence, maximizing campaign performance and enabling SafeStyle Doors and Windows to meet their KPIs (Key Performance Indicator).

Campaign Results Break down: Google Algorithm Vs Our Algorithm.

  • The analysis of before and after of “Total Cost” tells us that the cost with google algorithm was around $150k in January which rose to almost £200k in December, resulting in total spent of £ Whereas in our algorithm, the cost in January was about £85k and by December it had reached at about 65k, resulting in total spent of £800k.

  • The analysis of before and after “Cost per Lead” tells us that with google algorithm it was at about £85 in January and later rose exorbitantly to £125 in December. Whereas in our algorithm, cost per lead was fairly low overall starting from £50 in January to a little over £50 but less than £55 in December. The lower the cost per lead the better it is for the campaign.

  • The analysis of before and after “Click through Rate” tells us that with google algorithm it was about 1.80% in January which later rose slightly to 2.20%. Whereas in our algorithm, it started at 2.25% in January and rose to 2.50% in December. The higher the click through rate, the better it is.

  • The analysis of before and after of “Cost per Click” tells us that, with google algorithm it started at £5 in January and rose to about £2 in December. Whereas, in our algorithm, cost per click was overall low, starting at about £3 in January, coming down to almost £2 in December. The lower the cost per click, the better it is.

  • The analysis of before and after of “Average position on Google” tell us that, with google algorithm, the position was roughly at 2.2 in January, it fell down further throughout and rose to almost 2.2 again in December. In comparison, with our algorithm, position was at 1.6 in January and by December It had come to 1.1, as low is better.