Analyzing Keepa Sales Spikes – Working Procedure
In this procedure the big main theme (big picture) is to find an item that has a sales rank going up and
down, up and down, many times in a 90 day period. In order to be a winner it must have at least 6 sales
spikes in a 90 day period.
I’ve also included examples of three sales ranks types that are not considered winners in the 3 sales
rank pattern to avoid. After step #5 in the procedure below. Please study this procedure from start to
finish and let me know of any questions you may have. Note: we will still track 90 day sales rank
average but will raise that to 200,000 limit. It must have a 90 days sales rank. All other criteria will
remain.
1. In order to find these keepa sales spikes go to Keepa.com
2. Once there select enter the ASIN your looking into and click ‘sales rank’ from the legend on the
right. See ‘1’ in the picture below:
3. Once loaded a green line will appear. What we’re looking for is a line that really moves up and
down constantly. We want the sales peaks (will use peaks for the rest of the procedure) to be
noticeable so make sure that is forms peaks on the chart. The above picture is a winning chart –
it has several peaks.
Analyzing Keepa Sales Spikes – Working Procedure R2
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Last revision 1.27.19
Created 11.3.18
4. Next we count how many peaks we have. In the example below I have circled the 11 sales
peaks. Please see below:
5. If there are at least 6 peaks over a 90 day period on the keepa this product passes the test.
Three Sales rank types to avoid
1. Now there are also some three chart types to avoid. Sales rank flattening, sales rank increasing,
and little to no sales spikes.
2. Sales rank steadily increases when the sales are very infrequent. In itself it isn’t bad as long as
there are there are at least two peak in the month. So in the 90 day keepa chart you should see at
least two peaks every month meaning at least 6.
3. As long as a sales rank doesn’t steadily increase for a month or longer – you are okay. Please
see the example below of sales ranks steadily increasing. This example is still a good product
since the sales rank hasn’t steadily increased for over a month.
4. A bad example of a sales rank steadily increasing is when it just keeps going up and up. Please
see the chart below.
Analyzing Keepa Sales Spikes – Working Procedure R2
Confidential
Last revision 1.27.19
Created 11.3.18
5. The other chart type to watch for is sales rank flattening. In these charts there are little to no
sales since we are assuming a spike equals a sale. No picture needed the sales rank has no
spikes.
6. Lastly, Chart type that has little to no sales spikes. This are the ones that had very tiny details of
Analyzing Keepa Sales Spikes – Working Procedure R2
Confidential
Last revision 1.27.19
Created 11.3.18
sales peak graph (see image below).notice the sales spike on the middle of the graph, it moves
up and down but not the same as the normal spikes. If it stays that way for more than a month
we will consider the item as a non winner and be marked as sales rank flattening.
7. Congratulations, on completing the procedure for Analyzing Keepa Sales Spikes. Will continue
with this for at least a week before we add on price stability.
Analyzing Keepa Sales Spikes – Working Procedure R2
Confidential
Last revision 1.27.19
Created 11.3.18