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Measure Effectiveness with Causal Impact Analysis

Measuring Effectiveness with Causal Impact Analysis

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Page 1: Measuring Effectiveness with Causal Impact Analysis

Measure Effectiveness with Causal Impact Analysis

Page 2: Measuring Effectiveness with Causal Impact Analysis

⁄ Forward3D uses causal impact testing to quantify the effectiveness of media activity.

⁄ The test results can help digital marketers understand:⁄ The incremental effect of running a specific media channel (e.g. Display

activity)⁄ If there is sales cannibalization between PPC keywords and natural search⁄ Whether affiliates add incremental value to their sales figures

Evaluating Effectiveness

How do I know the impact of my media decisions?

Page 3: Measuring Effectiveness with Causal Impact Analysis

How does it work?

Page 4: Measuring Effectiveness with Causal Impact Analysis

Step 1 : Test Design

First we need to identify two sets of customers that follow similar behavioral patterns.

These two groups work well because they:

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2. Vary by similar seasonality trends

1. Are relatively similar in scale

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Step 2 : Activity Activation

Next, we run activity in one group and not the other.

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Test PeriodPre-Test Period

Group 1 – No Activity

Group 2 - Activity

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Step 3 : Modeling

Then, we model what the performance should have been for the group that was not running activity.

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Group 1 Model

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Step 4 : Analysis

Finally, we measure the impact between our model and the actual performance to calculate the impact.

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Group 1 Model

Group 1 Actuals

The difference between the model and the actuals gives us an estimation of impact

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How to Read a Causal Impact Output

A Causal Impact analysis produces three plots:⁄ The top plot shows the observed target series

(black) and its predicted values (dotted blue) from the control series.

⁄ The middle plot shows the difference between the prediction and what was observed.

⁄ To be a good test this should be close to zero before the test period and represents the impact within the testing period.

⁄ The bottom plot shows the cumulative sum of these differences within the testing period (the total effect).

⁄ In other words if the line diverges from the baseline at 0 we see an effect.

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Step 5 : Recommendations and Strategy

Once we have the test results we can work to build the findings into a more effective media strategy.

⁄ This could include actions such as:⁄ Shifting investment into more effective channels⁄ Incorporating newly tested media activity into the ‘business as usual’

media mix⁄ Adjusting targeting to improve efficiency