Which attribution model gives equal credit to all channels involved before a conversion?

The linear attribution model distributes equal credit to all channels that were involved in the customer journey leading up to a conversion. This approach recognizes that every touchpoint contributes to the final conversion, rather than prioritizing one channel over another, as seen in other models. For instance, in last-click attribution, the channel that led to the final click before conversion receives all the credit, potentially overlooking the influence of earlier interactions. Similarly, the first-click model attributes all credit to the initial channel that introduced a user to the brand, ignoring the role other channels might have played later in the journey. Time decay attribution allocates more credit to touchpoints that occurred closer to the conversion, suggesting that recent interactions are more influential. In contrast, linear attribution's equal distribution acknowledges the collaborative nature of marketing channels in guiding users towards conversion, making it a balanced choice for measuring the overall impact of all channels involved.