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Web Site Analytics & Web Site Tracking

You cannot measure what you do not track.

The cornerstone to your marketing efforts is the review of the information we have available. The key to this success is how to read these results and to descern the proper evaluation of success. By understanding what the numbers mean in these reports you can create a measuer of success. Google Analytics Preview

Simply put.. if we look at the number of visits to a website this is one metric - this tells us how many poeple are coming to the site and we can then break this down by where they are coming from. Paid sources verse organic verse classifieds etc. We can look at this over the day week month or all time and see where we are tracking

Now look at the average time on site. This time should reflect the amount of time to consume enough information to move on to the sale. Tyically a healthy average is 3-4 minutes.

Now we look at what is call the bounce rate. This is an indicator the quality of the page as well as the quality of the traffic sources. a healthy bounce rate it less than 50% but this is mainly dictated by your sources again. If you are just doing PPC this is not healthy and if you are just doing organic your bounce rate will likly be higher.

Pull all the values together and its like taking the temperture of your website. It reflects on the heath of your marketing strategy.

Now take this to the next level with Spark, Our Online Lead Tracking system and you can then compair these numbers to the number of calls and web form submissions you received. Track down even further with the crm aspect for tracking each sale and now you are marketing!!! Now you have the power to change the direction of every dollar spent. you can monitize not only your internet traffic but every advertising effort through one system. make educate decisions on the effectiness off the last remaining dollars for yellow pages and for those newpaper ads. You can also use this new knowledge to negotiate better rates for traditional media..

Knowledge is Power!

Google Analytics Preview

 

  • Visits
    This chart shows day to day variations in visitor traffic.

    Site Usage
    This chart shows Site Usage.
    Visits = the number of visits to the website over timeframe
    Pageviews = the total number of page views for those visits.
    Pages/visit = the average number of pages viewed per vist .

    Site Usage
    This chart shows Site Usage.
    Bouncerate = the number of people that leave on the first page.
    Average Time = The average amount of time a user sped on your website.

     
  • Unique visitor monitoring

     
    Unique Visitors
    This chart shows day to day variations in UNIQUE visitor traffic.
    Traffic Sources
    This chart shows the sources of traffic.
    Search engine = site designed to list sites for relevance.
    Direct Traffic = are people that put your URL into the address bar,
    Referring Sites = Sites that link to you.
    Usage Map
    This chart shows where in the world your visitor traffic comes from.
  • Content pages
    This chart shows what content on your website your visitors are interested in.

     


  • Projections

    (THIS ARE EXAMPLES OF COST PER SALE, RESULTS MAY VARY)
    Advertising Proposal(1*) Drop Yahoo / Add classifieds campaign/ Increase Website Conversion by creating new content and monitoring page effectivness.
    Daily budget Monthly total  clicks Sales % Sales Cost Per Sale Sales % Sale Cost / Sale
    google $50 $1,860 1,550 1.10% 17.05 $109 2.00% 31.00 $60.00
    yahoo $0 $0            
    MSN $0 $0            
    Ask $0 $0              
    Classifieds $6 $200 900 0.60% 5.40 $37 0.90% 8.10 $24.69
    Website Conversion $16 $500              
    Total $73 $2,560 2,450 0.92% 22.45 $114 255.75% 39.10 $65.47

    Say you sell furniture, and your average sale was $1500 this campaign would sell 39 pieces generating gross $46,350

    Advertising Proposal (2) Keep Yahoo / Drop classifieds campaign / Increase Website Conversion by creating new content and monitoring page effectivness.
    Daily budget Monthly total clicks Sales % Sale Cost Per Sale Sales % Sale Cost / Sale
    google $50 $1,860 1,550 1.10% 17.05 $109 2.00% 31.00 $60.00
    yahoo $25 $930 1,085 0.80% 8.68 $107 1.60% 17.36 $53.57
    MSN $0 $0            
    Ask $0 $0              
    Classifieds $0 $0 0 0.60% 0.00   0.90% 0.00  
    Website Conversion $16 $500              
    Total $91 $3,290 2,635 0.98% 25.73 $128 1.50% 48.36 $68.03

    Say you sell furniture, and your average sale was $1500 this campaign would sell 48 pieces generating gross $72,000.

 

 

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  Tips:

Session tracking
Session tracking is done by assigning a unique identification number (id) to a customer once they arrive to your website and tracking this id throughout their visit. This method is very efficient to follow customers' click paths while they are on your website but has a bad reputation with search engine optimisers because they are not understood by the search engine software and can cause crawling errors. It is often the reason why sites using session id's rank poorly in the search engines.

On-page tracking
On-page tracking is done by embedding a piece of code in your pages or delivering a 'cookie' to your visitor's computer. As with session tracking this method is very good to follow click paths of your visitors from page to page. Unfortunately, with people becoming more and more aware of privacy issues related to their computer, this method don't always deliver relevant results as many visitors will unknowingly block the used information by tightening their computer privacy settings. For companies running search engine optimisation or pay per click campaigns we recommend this solution.

Log analysis
Log analysis, is the final method. A log entry is created by your server in a file every time a visitor requests a page from your site. This files, and its thousands of entries are then analysed by a software that creates easy to use graphs and charts. This is the simplest solution to learn more about your visitors' behaviour, and it is the default method used in our web hosting service.