Collection of Sufficent Data for Well-Informed Decisions
Rules should only be triggered after enough data is collected to make an informed decision.
To answer the question of when there is sufficent data, the minimum number of clicks needed for one conversion is a good pointer.
Minimum Number of Clicks for 1 Conversion
The following formulas can be used determine an ideal threshold:
Low Reliability (65% Probability of Sale):
Number of clicks = 100 ÷ Conversion Rate (%)
Example: 100 / 4 = wait 25 Clicks
High Reliability (90% Probability of Sale):
Number of clicks = 100 ÷ Conversion Rate (%) x 2
Example: 100 / 4 x 2 = wait 50 Clicks
Having a conversion rate of 4%, for example, does not mean the product is guaranteed to generate a sale after 25 clicks. To avoid excluding keywords prematurely, it is recommended to wait around twice as long, ie. using the second of those formulas.
Organic or PPC Conversion Rate as Calculation Basis
In order to calculate “X clicks” you must use an expected conversion rate. For this you can either use the organic CR of your product/ product group, or even better the average PPC CR of your product/ product group.
The following table provides a breakdown of the number of clicks needed (for both medium risk and low risk thresholds), according to the respective conversion rate:
Automatic Calculation of X Clicks
If the threshold value is set to "1X" clicks, Sellics will automatically calculate the corresponding value for the respective adgroup:
The advantage here is that one rule-set can be used for multiple (differing) adgroups.
Calculation Method: The dynamic threshold (1X) will be automatically calculated on the basis of the product's PPC Conversion Rate within the past 90 days.
If the product has no Conversion data in that timeframe, the system will make use of the average CR in the adgroup, campaign or all products in the same marketplace in that order.