Markov Chains: how a Stochastic Attribution Model unlocked additional growth
Direct Marketing
Social Media
Search
Project Description
By using Markov Chains in order to tackle the topic of attribution, we were able to innovate and come up with a data-driven attribution model for our B2B client Taboola, the world leader in the native advertising industry. Traditional attribution models (e.g. Last-Click, Time Decay, Position-Based, etc.) have limitations in properly estimating the true impact of each marketing channel and keyword in the conversion path. Proper attribution, in this specific case, was a pivotal point in unlocking additional growth for the Client.Client
TaboolaTags
PPC
SEM
Paid Media
Attribution
Search
hello@agencyspotter.com417 12th St W Suite 110, Bradenton, FL 34205 USA© 2012-2024 Agency Spotter LLC