Now that we’ve covered some of the major challenges and benefits of identity resolution, let’s examine some of the ways to get it right. Identity resolution is tricky, but it's critical for personalized marketing. With new privacy rules, more customer touchpoints, and all kinds of data challenges - it's no wonder many brands struggle with it. But there are ways to build an effective identity resolution solution!
With a track record of successfully executing over 4,500 campaigns every year, we've learned a few things about identity resolution. Whether you use a Customer Data Platform (CDP) or build your own pipelines, here are some best practices we've picked up that can help you tackle the complex world of identity management.
Start with a Real Universal ID
Many teams think they've solved identity simply by matching on an email address. But for most businesses, email isn't enough of a universal identifier. It still leaves customer data fragmented across channels. At Machintel, we use a canonical ID as our central source of truth. First, we take in external IDs from different sources - like user IDs, device IDs, etc. Then we match those to create unified canonical profiles in real time. This saves you from constantly having to resolve who different identifiers represent each time. And it connects data to customers in a privacy-safe way with your own identity resolution rules.
Simplify Your Data Pipelines
Building effective identity resolution pipelines takes a few key steps:
- Collecting data from sources
- Processing data into a usable format
- Activating data for different teams
- Orchestrating everything
As businesses change, these pipelines get complex fast. But a smart CDP backed up by a solid process can simplify the process - even through business changes. We make it easy to collect data from any source. Then we process it into identity graphs so you can understand customers across channels.
You can access the identity data or build experiences using our APIs. Our protocols also ensure you collect data the right way. So you can focus on solving business problems vs. fixing data issues.
Take a Rigid Approach to Data Merging
Every identity solution is a little different. But some are too flexible, and can't be predicted or controlled well. It's risky.
The best approach makes merging rules rigidly. So you can focus on where it matters most for the business. We take a 100% deterministic approach based on exact matches with first-party data. It might seem strict, but it enables reliable unification and transparency into why profiles are merged or kept separate. As privacy laws like GDPR emerge, deterministic identity gets even more important.
Understand Your Warehouse's Role
With data warehouses like Snowflake, it's tempting to make them the single source of truth. But handling an identity graph with multiple customer identifiers in SQL gets complex fast. Warehouses are great for storage and compute. But for identity resolution, you need a solution that can create a canonical ID used across systems. The warehouse alone can't do that heavy lifting.
Make Portability a Priority
A good identity resolution strategy means the whole business is in sync. You don't have to recreate identity graphs constantly. Instead, access unified profiles via APIs. This way, teams can build campaigns and models using the tools they need, while still leveraging that single customer view. For ultimate flexibility, even look for providers that allow bringing in third-party data. Identity resolution is tough, but following these best practices can set your business up for a more seamless customer data strategy.
Harness AI & ML for Deeper Insights and Precision
In the intricate world of identity resolution, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as pivotal tools. These technologies sift through vast datasets with precision, identifying patterns and connections that might be imperceptible to the human eye. By leveraging AI and ML, businesses can achieve more accurate matches, refine their algorithms based on real-time feedback, and anticipate customer behaviors with heightened accuracy. Thus, integrating AI and ML into your identity resolution strategy not only amplifies its efficiency but also ensures that your brand remains at the forefront of technological advancements in the field.