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Pay Per Click Bid Management - Data Storage & Filtering

2.4 Hybrid PPC Account Structure, 4. Effective PPC Bid Management, 4.3 Bid Management & Historical Data

data-filtering-storage

Whether you are planning on building an in house Tool or simply conducing a manual analysis to manage your Bids, Data Storage & Filtering is the foundation to any strategy. Historical Data and performance of your Campaigns is important because:

  • Historical Data should be used to make data driven decisions for bid optimizations.
  • Historical Data also helps identify trends of an accounts over all Impressions, Clicks, Avg. , Cost, & - which can be really helpful in managing your bids.

Data Filtering: Managing large volumes of data manually can be overwhelming. Filter the data into following segments:

  • Non Converting with Negative ROI ( with Clicks & Cost but no conversions)
  • Converting with Negative ROI
  • Converting with Positive ROI

Note: Make sure you store any changes made to or as they can have a drastic effect on account performance as well

Data Storage: Historical data can be stored in a number of formats, each providing a data set to refer to depending on the filter you are dealing with:

Data Set One - used to compare with Conversions or Lost Conversions

Examples:

  • , Average Position 1, Always Negative ROI
  • , Average Position 2, Always Negative ROI
  • , Average Position 3, Always Positive ROI

This data set allows you to refer back to the ” and its performance overtime to identify the positions at which it has a Negative ROI or Positive ROI - this can also be used if you wish to bid to position manually

Data Set Two - used to compare with no Conversions ever to Bids & Positions from across the account that convert and generate a Positive ROI

Examples:

  • Average Position 1, Max. $4, Always Negative ROI
  • Average Position 2, Max. $3, Always Positive ROI

This data set allows you to refer back to the average performance of your account to determine which Position and Max. combination always converts with a Positive ROI. This can then be used to manage Max. CPCs for that are not converting at all and test their performance.

Note: There will be that are not at all suitable to your account, I will discuss how to identify and manage them in future posts.

These strategies should only be referred to for a directional point of view, and all optimization formulas and tactics used would depend on your business model and goals


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@ July 29, 2008

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