BY: Nidhi Gupta

Multivariate data analysis is a powerful tool in analytics and spectroscopy today. Panorama’s Quantify module provides a perfect solution to handle these complex statistical methods in an easy way. The wizard guided approach of calibration model development allows the user to create professional calibration models with a few easy mouse clicks.

• Calibration modeling with PLS, MLR, etc.
• Convenient spectral data selection (calibration and validation data)
• Assignment of parameter values, e.g. concentrations
• Mathematical pre-processing
• Calculation of the calibration model including validation of the model with independent data
• Automatic outlier detection
• Interactive optimization of the calibration model
• Presentation of results in a descriptive report and comprehensive explorative result plots (support for exchange with office applications)

In addition to the basic univariate calibration capabilities of panorama Pro, this module provides all major multivariate analysis methods like PLS, MLR and PCR. It is an ideal add-on for panorama Pro users requiring advanced quantitative analysis methods for spectroscopic data evaluation.

A simple wizard driven calibration model development with final validation provides maximum convenience in preparation of multivariate calibration models. The wizard guides you through the steps of a calibration and assists you with hints:

• Convenient spectral data selection including spectral ranges
• Mathematical pre-processing
• Calibration modelling with PLS1, MLR or PCR
• Comprehensive and explorative result plots
• Automatic outlier detection
• Descriptive result report
• Automatic and manual prediction
• Calibration model validation with independent spectral data

The final model will be saved in a project together with your spectra or as an individual file on your disc.

Data Evaluation / Prediction

Once a calibration model has been designed and completed, it will be available for routine analysis within the software.

The following analysis options are available:

• Online data evaluation
• Evaluation report

The online data evaluation option shows predicted values directly for the active spectrum in your application workspace. The evaluation report provides comprehensive prediction results for one or more evaluated spectra.

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PPC Advertising is the advertising with the search engines entailing bidding for particular keyword phrases or search terms used most frequently by Internet users related to information on certain niches and sectors. Simply , it is an advertising system where an advertiser pays an agreed amount for each click delivered to his or her site from a link or listing keyed to a specific search term, area of a site or even a banner.

Overture was the first great pay-per-click advertising sales channel for the search engines. PPC advertising is a very tricky thing. If you haven’t tried a PPC campaign before then here are 10 things you should know before venturing forth. You have to keep these things in mind when your start a PPC campaign because you just can’t afford to ignore them!

• Create a landing page for each of your pay per click campaigns. It is must. Each of these different landing pages should phrase the offer in the specific language and sense that the searcher is using.

• Constantly tweak the wordings of your pay per click campaigns to determine the best arrangement of words. Also, take note of your click-thru rates. Additionally, take note of whether your conversion rates remain the same or change.

• Always use a call to action in your pay per click campaigns like “click here,” ‘start now’, ‘join now’ etc. These calls to action will provoke those who read the advertisement to click, rather than wandering off to the next advertisement to see if it might offer something better.

• Pay careful attention to your pay per click campaigns. In many cases the network through which you advertised with freeze your ads for different reasons. To make sure all of your ads stay active, watch them carefully and make changes when required.

• Make efforts to balance convertibility with traffic levels on pay-per-click campaigns.

• Attempt to bid your advertisements above the fold. Simply having advertisements on the results page when it loads has been shown to radically increase impression-to-click conversion rates.

• Take advantage of contextual advertising programs that allows you to select where your advertisements will be published. If you notice that your click thru rate is unusually high with the ‘Content Network,’ even though the conversion rates are disturbingly low, you should consider weeding out some of the potential problem sites.

• Unless you have predetermined data indicating a high bid will return a positive ROI, you need to keep your bids low. You may not be able to attract lots of traffic, but you can collect CPC and conversion data before going deeper into the niche you are exploring.

• Inexperienced advertisers tend to lure in visitors by implying that the product they are promoting is free. Bad idea! Traffic alone doesn’t mean anything. Only sales pay your bills. Doing so will only attract tire kickers who are not interested in buying anything from you, and you’ll be paying for each one of them. A good Google ad is all about striking a balance and attracting the right type of traffic.

• Always test your landing pages when using pay per click to generate traffic. If one setup has a woefully bad conversion rate, you will want to switch to something else. Even if it doesn’t, you will want to continually tweak your landing pages until you achieve an optimal conversion rate – until changes only decrease your conversion rate.

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