Overview Table

The overview table below gives a overview how different models would attribute a conversion journey with four different touchpoints.

Attribution ModelFirst TouchMiddle Touch 1Middle Touch 2Last TouchOnly Paid Channels
First Touch100%0%0%0%
First Touch Paid Only100%0%0%0%
Last Touch0%0%0%100%
Last Touch Paid Only0%0%0%100%
Linear25%25%25%25%
Participation100%100%100%100%
J-Shaped20%10%10%60%
Inverse J-Shaped60%10%10%20%
U-Shaped40%10%10%40%
Time Decay*----

* The Time Decay model takes into account the time between each touchpoint, which is not present in the simplified table above. You can read more about the Time Decay model here

Attribution Models

First Touch

Description: All credit for the conversion is given to the first touchpoint Converge observed in this customer journey. This touchpoint can be either a paid channel (e.g. Facebook-) or a non-paid channel (e.g. Organic Search).

Use case: Helpful to check how channels relatively contribute more in acquiring prospective customers.

Example for 4 touchpoints:

First TouchMiddle Touch 1Middle Touch 2Last Touch
100%0%0%0%

First Touch Paid Only

If no paid touchpoint can be found, then the conversion will be attributed to No web touchpoint.

Description: All credit for the conversion is given to the first paid touchpoint Converge observed in this customer journey.

Use case: Helpful to check how paid channels are contributing to acquiring prospective customers.

Example for 4 touchpoints:

First TouchMiddle Touch 1Middle Touch 2Last Touch
100%0%0%0%

Last Touch

Description: All credit for the conversion is given to the last touchpoint Converge observed in this customer journey. This touchpoint can be either a paid channel (e.g. Facebook-) or a non-paid channel (e.g. Organic Search).

Use case: Helpful to check how channels relatively contribute to converting prospects into customers.

Example for 4 touchpoints:

First TouchMiddle Touch 1Middle Touch 2Last Touch
0%0%0%100%

Last Touch Paid Only

If no paid touchpoint can be found, then the conversion will be attributed to No web touchpoint.

Description: All credit for the conversion is given to the last paid touchpoint Converge observed in this customer journey.

Use case: Helpful to check how channels relatively contribute to converting prospects into customers.

Example for 4 touchpoints:

First TouchMiddle Touch 1Middle Touch 2Last Touch
0%0%0%100%

Linear

Description: The conversion will be evenly attributed to all touchpoints in this customer journey.

For example with 2 touchpoints each would receive 50% credit and with 3 touchpoints each would receive 33.3%.

Use case: Helpful to check how channels relatively contribute to the complete customer journey to conversion.

Example for 4 touchpoints:

First TouchMiddle Touch 1Middle Touch 2Last Touch
25%25%25%25%

Participation

It is normal for a participation model to show more attributed conversions than there are actual conversions because it will attribute the same conversion to multiple channels
It is possible for a single conversion to be attributed twice to the same channel if the customer has multiple touchpoints from different ads or campaigns within that channel

Description: The conversion will be fully attributed to all touchpoints in this customer journey. For example with 2 touchpoints each would receive 100% credit and with 3 touchpoints each would receive 100%.

Use case: Helpful to understand how many customer journey touchpoints an ad or campaign has driven in total.

Example for 4 touchpoints:

First TouchMiddle Touch 1Middle Touch 2Last Touch
100%100%100%100%

J-Shaped

Description: The conversion will be attributed across all touchpoints in this customer journey but will bias more towards the Last Touch.

For 3 or more touchpoints, 60% of the credit is attributed to the Last Touch, 20% to the First Touch, the remaining 20% is evenly distributed between the remaining touchpoints. For 2 touchpoints, 75% is credited to the Last Touch and 25% to the First Touch.

Use case: Helpful to use as your main model if you prefer a Last Touch model in general but still want other touchpoints (in particular the First Touch) to contribute to the final evaluation.

Example for 4 touchpoints:

First TouchMiddle Touch 1Middle Touch 2Last Touch
20%10%10%60%

Inverse J-Shaped

Description: The conversion will be attributed across all touchpoints in this customer journey but will bias more towards the First Touch.

For 3 or more touchpoints, 60% of the credit is attributed to the First Touch, 20% to the Last Touch, the remaining 20% is evenly distributed between the remaining touchpoints. For 2 touchpoints, 75% is credited to the First Touch and 25% to the Last Touch.

Use case: Helpful to use as your main model if you prefer a First Touch model in general but still want other touchpoints (in particular the Last Touch) to contribute to the final evaluation.

Example for 4 touchpoints:

First TouchMiddle Touch 1Middle Touch 2Last Touch
60%10%10%20%

U-Shaped

Description: The conversion will be attributed across all touchpoints in this customer journey but will bias more towards the first and last touch. Also know as Position-based.

For 3 or more touchpoints, 40% of the credit is attributed to the first and last touchpoints. The remaining 20% is evenly distributed between the remaining touchpoints. For 2 touchpoints, 50% of the credit is attribute to both the first and last touchpoints.

Use case: Helpful to check how channels relatively contribute to the complete customer journey to conversion if you believe that the First and Last Touch are more important than other touches in the customer journey.

Example for 4 touchpoints:

First TouchMiddle Touch 1Middle Touch 2Last Touch
40%10%10%40%

Time Decay

Description: The conversion will be attributed across all touchpoints in this customer journey following an exponential decay with half-life of 7 days, normalized to 100% across all touchpoints.

In essence, the weight for each touchpoint depends on how much time has elapsed between the touchpoint and the conversion. The closer the touchpoint is to the conversion, the more credit it will be attributed. For example, a touchpoint that occurred 7 days before the conversion will receive half the credit of a touchpoint that occurred in the same day as the conversion.

Use case: Helpful to check how channels relatively contribute to the complete customer journey if you believe that channels are relatively less important if they are further away from the conversion.

Example for 4 touchpoints:

First TouchMiddle Touch 1Middle Touch 2Last Touch
Days ago211470
Weight0.1250.250.51
Attribution6.7%13.3%26.7%53.3%