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Quick Insights for Causal Inference

Intended audience: END-USERS DATA SCIENCE DEVELOPERS

AO Easy Answers: 4.3

Overview

image-20240517-105454.png

The Causal Inference Quick Insight can only be generated as a scheduled task created by the Solution Developer using the Insight Composer in the AO Platform. The output from the generated Quick Insight will be added to the Insights page in Easy Answers.

Purpose

Determine the likely outcome of the effect of one variable impacting another variable, allowing multiple control variables to be provided as supporting input.

Business Example

Assessing the impact of a new pricing strategy on sales.

Scenario

A company wants to know if a recent price reduction caused an increase in sales.

Results

Causal inference provides evidence that the pricing strategy directly influenced sales, helping in future pricing decisions.

Data Sample

Pricing_Strategy

Marketing_Spend

Customer_Income

Customer_Age

Sales

0

5266.55

31873.65

43.75

23789.71

1

2996.98

58337.89

28.50

30453.10

1

5570.30

29905.59

22.97

25976.89

1

5915.88

75201.12

24.58

30186.59

0

5839.69

61648.80

30.13

28725.93

0

6621.17

30848.97

31.48

22757.48

0

6250.88

53815.82

27.30

27580.83

1

5688.77

44956.87

22.04

27977.70

1

4894.75

66383.49

30.44

33160.49

1

2508.56

86809.01

36.81

38092.45

0

5644.43

22496.55

40.95

25137.04

1

5311.53

62300.52

29.43

31055.12

1

5407.37

56797.34

30.87

32532.80

0

3084.88

73426.80

25.73

27237.66

0

3378.42

64263.93

34.69

27125.72

0

6579.73

44960.61

26.52

24835.17

0

4940.67

53618.92

40.73

25857.02

File

causal_inference_pricing_sales.xlsx

Infographics Insight

  • Average Treatment Effect

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  • Average Causal Ratio

image-20240829-185527.png

Full Story Insight

  • Average Treatment Effect

image-20240829-184945.png
  • Average Causal Ratio

image-20240829-185628.png


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