Meiro = CDP and Personalization Platform of your choice!
Use Cases and Deployment Scope
Simply speaking, Meiro platform helps us to bring unique personalized experience to our customers. We are doing that by collecting data from various sources - CRM, web, mobile. By application of Meiro's flexible profile stitching model, we are able to target unigue customer. Platform helps us to build audiences and export them to other destinations of our choice. In my opinion, there is no doubt that Meiro platform can bring the value to any business. What I like the most is how they combine the most important technologies like SQL, python and R in their product - users can learn and getting always better in using Meiro platform. Bringing more complicated ideas on table and then have ability to execute it within the platform. I think this is unparalleled in comparison to other platforms - simply because to have trained employers in using advanced SQL, python or R and implement it directly to platform to help better target customers is definitely a win for the company in long-run (it is just much better than just to buy consultant that will do it for you). To have trained employers in area of CDP, personalization, SQL, Python, R and ETL is just such a dream combination that will definitely repay its initial investment in few months.
Pros
- personalization
- predictive modelling
- ETL
- audience generation
- CDP
- recommendation
Cons
- community
Likelihood to Recommend
- personalization (The platform helps us with execution of several triggers - abandoned shopping cart, shopping intention etc. We are not bounded by capability of platform - anything can be executed on our own.)
- CDP + ETL (Platform offers two products Meiro Integrations and Meiro Business Explorer - first one is sort of ETL tool using which, we can create custom data pipelines, connect to various data sources, build own connectors and schedule very complicated jobs. Second tool is more related to creating the custom segments, schedule regular export to another marketing platforms. I like how these two worlds are split. It just make sense to work with it.)
- predictive modelling (There is huge potential for data engineering and data science teams to fully operate the platform - running CLV models, recommendation engines, creating complicated data pipelines from various data sources bringing them on one place. I thing about Meiro as amazing execution platform for such teams - running CLV modelling on data marts and use outputs in Meiro.)
- platform enabling collaborative work (Platform offers various departments an environemnt, where they can work productively.)
