How to increase your web traffic 477% per day with Adwords

Recently, I stumbled upon an article titled “A Plain-Speaking Guide on How to Win at the Google AdWords Game” by Larry Kim of the website SearchEngineJournal.com.  In this article Larry talks in depth (it gets complicated) about how the quality score of your keywords and ads, impacts your ad position, bid amount, and click through rate and helps you to increase your web traffic with Adwords. As an experienced internet marketer that’s worked on countless campaigns I knew that having great quality keywords is very important to the success of your campaign. However, there is always a fine dance that must be done through process of elimination to determine which is the best ad (or ads) and which are the best keywords for the success of a campaign. Sometimes it just seems that a certain group of words resonate better with an audience regardless of how Google scores the quality. But, for the sake of experimentation, I decided to create an Adwords campaign and use Quality Score as the only determining factor of the success of my ads and keywords.

Increase your web traffic with Adwords

The Experiment

Parameters

I chose a period of 9 days for my Adwords campaign, between February 13, through February 21st 2014. I selected two areas of my website that I would target with ads, my Internet Marketing Knowledge Quiz landing page and my previous article, “6 ways to perfect your brand voice”. I limited my budget to $10.00 per day.

Ad Groups

I created two ad groups, one for the brand article and one for the quiz. In each Ad group I created 10 different ads with similar word structure. Below were the two ads with the highest quality score in the brand article  ad group:

Enhance Your Brand Voice
Learn 6 simple ways to make your brand voice more effective today!
www.kennywithers.com

Enhance Your Brand Voice
How effective is your brand voice? Read 6 ways you can improve it!
www.kennywithers.com

Keywords:

In each ad group I started with 45 keywords. I realize that is a lot of keywords per group, but remember, this is an experiment about quality score so the expectation was that using only the keywords with the highest quality score would provide the best results. The keywords in each list were very specific to the subject I was promoting. I also used keywords that had a medium to high search volume, but medium to low competition. I did this to keep the costs down.

To have a baseline for my experiment, I recorded 3 weeks of traffic to my website including the days of the campaign:
Google Analytics traffic history

Days 1-4

The first day of the experiment, I saw a 600% increase in traffic from baseline to my website based on the Google Adwords campaign. During the first four days of the campaign, I paused 5 keywords and 2 ads with the lowest quality score from each ad group. Removing these keywords and ads did not decrease my traffic.

Google Analytics traffic report

Day 5

Because in the previous days my traffic had not changed, on the fifth day I decided to pause 5 keywords from each list with the highest quality score. This resulted in a drop of traffic of 400% over the previous day (200% over baseline).

Google Analytics traffic report

Day 6:

On the 6th day I restarted the keywords with the highest keywords and made an additional change; I added 5 more keywords with high quality score, high search volume and high competition. This change resulted in an 800% increase of traffic over baseline, but also resulted in an increase in cost of 500% higher than my previously most expensive click-through. Ouch, that hurt.

Google Analytics

Day 7

I paused the 5 keywords from the day before and continued my crusade against the keywords and ads with the lowest quality score. At this point I had a total of 25 keywords and 2 ads per ad group. I received an increase of 500% traffic over baseline.

Google Analytics

Day 8

I couldn’t leave good enough alone, so I continued my crusade until I had 1 ad and 10 keywords with the best quality score in each ad. This dropped my traffic by 400% over the previous day (200% over baseline).

Google Analytics traffic report

Day 9

On the final day, I restarted 2 ads and 5 additional keywords for a total of 3 ads and 15 keywords per ad group. This change resulted in an increase of 200% over the previous day (400% over baseline).

Google Analytics traffic report

Conclusion

The takeaway that I got from this experiment is that using quality score alone, is indeed a good way to run an Adwords campaign. In my 9 day experiment, I found that on the 4th day the campaign reached the highest optimization. At that point, I was using the 4 ads and 30 keywords in each ad group which Google had rated with the highest quality score. The average increase in traffic over the 9 day period was 477% per day using the quality score method only. I am not suggesting that this is the best or only method that should be used, but using this method in tandem with a method that works for you will surely increase the effectiveness of your campaigns. This is one way that will teach you how to increase your web traffic with Adwords.

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Kenny Withers

I am a blogger, strategist and speaker who works with companies to optimize their online personal and company presence, brand, internet marketing and social media marketing. This blog covers topics related to Social Media, Digital Marketing, Blogging, Twitter, Facebook, YouTube, LinkedIn, Search Engine Optimization (SEO), Search Engine Marketing (SEM), Brand Marketing, and Content Marketing.

4 Responses

  1. Serenaels Berry says:

    You share interesting things here. I think that a website can grow organically, but you must give it initial boost and now i know how to do it, Google Adwords.

  2. Jimmie Kastner says:

    I know this if off topic but I’m looking into starting my own weblog and was wondering
    what all is needed to get setup? I’m assuming having a blog like yours would cost a pretty penny?
    I’m not very web savvy so I’m not 100% certain. Any recommendations or advice would be greatly appreciated.
    Many thanks

  1. November 12, 2014

    This was a cool experiment, and also amazing to see how quickly you got results. Great job on the article.