Introducing Tapestry Passport – An MTA Solution

HomeInsightsBlogs | Last Updated August 5, 2021 - by Softcrylic under data science & analytics

Published onMarch 9, 2020

Advertising and marketing success criteria have become more complicated to measure in recent years. Target users are more dynamic than before and switch between personal and work cell phones, computers, and tablets, all while traveling between their home, work, gym, car, restaurants, and more.

Introducing Tapestry Passport – An MTA Solutionhover-icon

As digital lifestyles become more dynamic, organizations, marketers, and media agencies have been undertaking initiatives to move towards a more holistic marketing approach with the desire to remain perpetually connected with their target audience through a variety of offline and online channels.

With so many variables, how do marketers measure the success of their marketing approach and ensure they minimize waste and maximize Return on Advertising Spend (ROAS)?

We believe the answer is Multi-Touch Attribution (MTA), as it is the best way to measure the success of a multi-channel marketing campaign. MTA has been around for some time now. However, there are still no industry standards that have been put in place to govern the technology, algorithms, or establish attribution best practices.

In 2019, single-touch models were still the most common models used by marketers to measure conversions. Alongside single-touch models, Linear (Even touch), Latency (Time Decay), and U-shaped MTA models were also common. These models are useful in some circumstances but biased by preconceived notions of how marketing influences customers and is potentially misleading.

Softcrylic’s MTA solution, Tapestry Passport, differs from heuristic approaches (first, last, linear, position-based, time decay models) and competitors’ approaches. While the heuristic approaches are very approximate and not rigorous in a mathematical sense, our algorithms run simulations over customer journeys to allocate appropriate credit to channels, campaigns, and any other level of granularity desired. Furthermore, while there are competing algorithmic attribution solutions available, most work as a “black box,” with the solution provider unwilling or unable to explain how the models work. On the other hand, Softcrylic is dedicated to transparency and has launched Tapestry Passport as a unique MTA solution to help organizations, marketers, and media agencies gain deeper insights into their audience behavior and marketing channels success. With Tapestry Passport, marketers own 100% of their data and can access it through the Softcrylic Client Dashboard or by using direct SQL queries.

Introducing Tapestry Passport – An MTA Solution

To learn more about Tapestry Passport and Softcrylic’s Data Science & Product team, visit our Tapestry Passport page by clicking here.

Authors

Gilad Moyal

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Gilad Moyal

Gilad is a Product Manager at Softcrylic. Gilad works with a team of experts across the fields of Data Science, Machine Learning, and Data Engineering to develop new and innovative solutions to some of the hardest challenges in Marketing and Data Analytics. Gilad is a Certified Product Manager, CPM®, and Certified ScrumMaster®, CSM. Connect with Gilad on LinkedIn by clicking here.

Bradley Kossmann

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Bradley Kossmann

Brad is a Data Scientist at Softcrylic who specializes in forecasting, budget optimization and natural language processing in digital marketing and data analytics domain. Brad leads the Data Science practice at Softcrylic and his current projects include multi-touch attribution and large-scale audience segmentation through machine learning.

Softcrylic

Softcrylic is a data consulting firm that is part of Hexaware. We bring a unique combination of strategy and engineering to the ever increasing complex problem of data. We tackle data challenges at the level of data capture and validation through data modeling and activation. We help organizations further benefit and understand their data through our engineering expertise on Microsoft Azure and Amazon AWS alongside Hexaware’s extensive experience and capacity in Engineering and AI.

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