Product Price Sensitivity Hypothesis preliminary testing on FR sample March 2020
Product Price SensitivityHypothesis preliminary testing on FR sample
March 2020
Hypothesis
As Covid-19 now also has economic impacts,
lot of people have lower revenue resources.
Consequently, we might expect a higher sensitivity in prices.
Methodology
Market: France
Period: March 1st - 30th
Data: Microsoft Internal, from shopping campaigns only
Sample: data of 50+ accounts whose shopping product feed classification matches the MSA Shopping Taxonomy
either for Product Type 1 and/or for Category 1 Level
Depending on the category we observe, we define a price range threshold in order to have a minimum volume of
clicks each day for each price range
In France the lockdown started on March 17th . But major Government announcements have been made on March
12th and 14th that led behaviour changes to start
Product Price RangesThe below are only random examples just to show how ranges were built.
Store names, even if not related to the sample used, have been hidden.
Range 40-60€
labeled as « 40 »
Range 40-60€
labeled as « 40 » Range 40-60€
labeled as « 40 »
Range 20-40€
labeled as « 20 »
Range 80-100€
labeled as « 80 »
Range 120-140€
labeled as « 120 »
Important
Even if the impression and click are made on a low-price product, the final conversion(s) can happen on a different
product with a different price. And the web user can have several products in their shopping cart
Nevertheless, we consider in this analysis that the product price on which the web use click/convert gives a good
information on the price sensitivity
But in no case the price ranges should be considered as exactly the value of the purchase for ROAS or ROI calculation
Electronics
FR - Electronics: the products with lowest price range
have the biggest amount of clicks and their volume grows over time
Electronics: clicks
0 20
40 60
80 100
120 140
160 180
200 220
240 260
280 300
320 340
360 380
400 420
440 460
480
0€
and 40€
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
FR - Electronics: examples of CTR changes over time
CTR
slope
Electronics: CTR over time and trendline for range:
0-20€
0
Linear
(0)
CTR
slope
Electronics: CTR over time and trendline for range: 280-300€
280
Linear
(280)
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
FR - Electronics: a clear shift of CTR away from higher priced products.
The higher the prices ranges, the stronger the CTR decline over time.
rate of change
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
rate of change
0
20
40
60
80
100
120
140
160
180
200
220
240
260
280
300
320
340
360
380
400
420
440
460
480
CTR rate of change over time
low-price :
Positive trend
High prices
Negative trend
FR - Electronics: examples of Conversion Rate changes over time
conversion rate
slope
conversion rate
slope
Electronics : Conversion Rate over time and trendline for range :
0-20€
0
Linear (0)
Electronics : Conversion Rate over time and trendline for range :
280-300€
280
Linear
(280)
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
0
20
40
60
80
100
120
140
160
180
200
220
240
260
280
300
320
340
360
380
400
420
440
460
480
Conversions rate: change over time trend
FR - Electronics: a clear shift of Conversions away from higher priced products.
Conversion Rate goes up for low-prices and down for high ones overall.
Over time people buy less expensive products.
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
change
trend
low-price :
Positive trend
High prices
Negative trend
Conclusion:As there is a clear trend over time
of conversion rate going up for
low-prices and down for high
prices, we can reasonably
conclude that beyond the volume
and categories aspects, a real
consumer behavior appears of
sensitivity on prices
FR - Electronics: when looking at Printers as a specific product example, the price
sensitivity is confirmed
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
40 60 80 100 120 140 160 180
CTR rate of change over time
40 60 80 100 120 140 160 180
Conversions rate: change over time trend
0
50
100
150
200
250
300
01-M
ar
03-M
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05-M
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07-M
ar
09-M
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11-M
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13-M
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15-M
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17-M
ar
19-M
ar
21-M
ar
23-M
ar
25-M
ar
27-M
ar
29-M
ar
31-M
ar
Printers (Imprimantes): clicks40
60
80
100
120
140
160
180
Apparel & accessories (Vêtements & accessoires)
FR - Apparel & Accessories: the products with lowest price range
have the biggest amount of clicks and their volume grows over time.01-M
ar
02-M
ar
03-M
ar
04-M
ar
05-M
ar
06-M
ar
07-M
ar
08-M
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09-M
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10-M
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11-M
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12-M
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13-M
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14-M
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15-M
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16-M
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17-M
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18-M
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19-M
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20-M
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21-M
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22-M
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23-M
ar
24-M
ar
25-M
ar
26-M
ar
27-M
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28-M
ar
29-M
ar
30-M
ar
Apparel & accessories: clicks
0
20
40
60
80
100
120
140
160
180
between 0€
and 60€ over time
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
FR - Apparel & Accessories: examples of CTR changes over time
CTR
slope
CTR
slope
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
Apparel & accessories: CTR over time and trendline for range: 20-40€
20
Linear (20)
Apparel & accessories: CTR over time and trendline for range: 180-200€
180
Linear
(180)
0 20 40 60 80 100 120 140 160 180
CTR rate of change over time
FR - Apparel & Accessories: overall for this sample, the higher the prices
ranges, the stronger the CTR decline over time
rate of change
Source: Microsoft Internal Data, France, March 1st-30th
Q&A : why observing products ranges < a certain value ? Cf the “threshold” explanation in methodology slide.
rate of change
low-price :
Positive/Slightly
Negative trend
High prices
Negative trend
FR - Apparel & Accessories: examples of Conversion Rate changes over time
slope
slope
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
Apparel & Accessories : Conversion Rate's Trendline Slopes over time
for range 0-20€
0
Linear (0)
01-M
ar
02-M
ar
03-M
ar
04-M
ar
05-M
ar
06-M
ar
07-M
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08-M
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09-M
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10-M
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11-M
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12-M
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13-M
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14-M
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15-M
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16-M
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17-M
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18-M
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19-M
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20-M
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21-M
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22-M
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23-M
ar
24-M
ar
25-M
ar
26-M
ar
27-M
ar
28-M
ar
29-M
ar
30-M
ar
Apparel & Accessories : Conversion Rate's Trendline Slopes over time for
range 80-100€
80
Linear (80)
0 20 40 60 80
Conversions Rate : change over time trend
FR- Apparel & Accessories: a stronger trend down in Conversions for
higher priced products. Over time people buy less expensive products.
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
change
trend
low-price :
Slightly Negative trend
High prices
Negative trend
Conclusion:As there is a clear trend over
time of conversion rate going
up for low-prices and down
for high prices, we can
reasonably conclude that
beyond the volume and
categories aspects, a real
consumer behavior appears
of sensitivity on prices
Toys and games
(Jeux et jouets)
FR - Toys & Games: the products with lowest price range have the
biggest amount of clicks and their volume grow over time
Toys & Games: clicks
0
20
40
60
80
Source: Microsoft Internal Data, France, March 1st-30th
Q&A : why observing products ranges < a certain value ? Cf the “threshold” explanation in methodology slide.
between 0€
and 40€ over time
FR - Toys & Games: examples of CTR changes over time
CTR
slope
CTR
slope
Source: Microsoft Internal Data, France, March 1st-30th
Q&A : why observing products ranges < a certain value ? Cf the “threshold” explanation in methodology slide.
Toys & games goods: CTR over time and trendline for range: 20-40€
20
Linear
(20)
Toys & games goods: CTR over time and trendline for range:
80-100€
80
Linear
(80)
0 20 40 60 80
CTR rate of change over time
FR - Toys & Games: overall for this sample, the higher the price ranges,
the stronger the CTR decline over time
rate of change
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
rate of change
low-price :
Slightly
Negative trend
High prices
Negative trend
FR - Toys & games: examples of Conversion Rate changes over time
slope
slope
Source: Microsoft Internal Data, France, March 1st-30th
Q&A : why observing products ranges < a certain value ? Cf the “threshold” explanation in methodology slide.
Toys & games: conversion rate trendline slopes over time for price
ranges: 20-40€
20
Linear
(20)
Toys & games: conversion rate’s trendline slopes over time for price
ranges 40-60€
40
Linear
(40)
0 20 40 60 80
Conversions Rate : change over time trend
FR - Toys & games: a stronger trend down in Conversions for higher priced
products. Over time people buy less expensive products.
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
change
trend
low-price :
Slightly Negative trend
High prices : stronger
negative trend
Conclusion:As there is a clear trend over
time of conversion rate going
up for low-prices and down
for high prices, we can
reasonably conclude that
beyond the volume and
categories aspects, a real
consumer behavior appears
of sensitivity on prices
Furniture
(Meubles)
FR - Furniture (Meubles): the products price range between 140€ and
200€ have a bigger amount of clicks, compared with ranges between
200€ and 260€
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
We choose here to focus on the 140-160 to 240-260 € product price ranges to observe a certain level of prices.
between 140€
and 200€ over time
0
20
40
60
80
100
120
140
160
180
200
01-M
ar
02-M
ar
03-M
ar
04-M
ar
05-M
ar
06-M
ar
07-M
ar
08-M
ar
09-M
ar
10-M
ar
11-M
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12-M
ar
13-M
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14-M
ar
15-M
ar
16-M
ar
17-M
ar
18-M
ar
19-M
ar
20-M
ar
21-M
ar
22-M
ar
23-M
ar
24-M
ar
25-M
ar
26-M
ar
27-M
ar
28-M
ar
29-M
ar
30-M
ar
Furniture (Meubles): clicks
140
160
180
200
220
240
FR - Furniture (Meubles): examples of CTR changes over time
CTR
slope
CTR
slope
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
We choose here to focus on the 140-160 to 240-260 € product price ranges to observe a certain level of prices.
Furniture (Meubles): CTR over time and trendline for range:
220-240€
220
Linear
(220)
Furniture (Meubles): CTR over time and trendline for range:
140-160€
140
Linear
(140)
140 160 180 200 220 240
CTR rate of change over time
FR - Furniture (Meubles): overall for this sample, the higher the price
ranges, the stronger the CTR decline over time
rate of change
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
We choose here to focus on the 140-160 to 240-260 € product price ranges to observe a certain level of prices.
rate of change
low-price :
Positive/Slightly
Negative trend
High prices
Negative trend
FR - Furniture (Meubles): examples of conversion rate changes over time
slope
slope
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
We choose here to focus on the 140-160 to 240-260 € product price ranges to observe a certain level of prices.
Furniture (Meubles): Conversion Rate over time and trendline for range:
140-160€
140
Linear (140)
Furniture (Meubles): Conversion Rate over time and trendline for range:
240-260€
240
Linear (240)
140 160 180 200 220 240
Conversions Rate : change over time trend
FR - Furniture (Meubles): a stronger trend down in Conversions for higher-
priced products. Over time people buy less expensive products.
Source: Microsoft Internal Data, France, March 1st-30th
Note : we observe products ranges < a certain value -> cf the “threshold” explanation in methodology slide.
We choose here to focus on the 140-160 to 240-260 € product price ranges to observe a certain level of prices.
change
trend
low-price :
Slightly Negative trend
High prices
Negative trend
Conclusion:As there is a clear trend over
time of conversion rate going
up for low-prices and down
for high prices, we can
reasonably conclude that
beyond the volume and
categories aspects, a real
consumer behavior appears
of sensitivity on prices
Hypothesis test conclusion
HYPOTHESIS: As Covid-19 now also has economical impacts,
lot of people have lower revenue resources.
Consequently, we might expect a higher sensitivity in prices.
CONCLUSION: The hypothesis is confirmed after analysing the
France samples.