How to transform GCP BQ into The Perfect CDP for Retailers
B2C and D2C eCommerce Retailers are looking to transform their business using a Customer Data Platform (CDP) in three main ways.
B2C and D2C eCommerce Retailers are looking to transform their business using a Customer Data Platform (CDP) in three main ways.
The benefits of leveraging first-party data are widely understood, and most organisations are diligently capturing and ingesting the first-party data into their data lakes. In Syntasa’s experience though, many organisations are lacking in joining the multiple device, channel and other primary key identifiers within the vast array of disparate digital first-party data sources.
Checkout conversion optimization is monumentally crucial for your entire business, not just because of the obvious reasons -the revenue it creates, but also as a positive reconfirmation of the entire teams of business marketing sales IT and eCommerce that owe in part their existence/growth to such an event of a purchase.
An on-going campaign to engage with past buyers is a proven way to improve customer engagement. With re-engagement, it is relatively simple to earn top-line sales with minimal effort.
Reflecting on 2020 like many of us, I want to say on behalf of the Syntasa team that we are incredibly fortunate and grateful to have been part of the journey with many business and technology leaders in the last year, that have completely embraced Covid-era eCommerce by innovating and delivering programs to improve their company’s Customer Acquisition and Customer Experience metrics!
The relevance of business models deteriorates over time. That is the nature of commerce in every industry, and particularly for the online advertisement industry, where data collection methods have come under intense scrutiny in the last few years.
Now that brands have defined and built digital customer experiences, it’s time to think about customer engagement strategies which will…
In order to generate ROI from our data lake investments, we need to successfully productionise multiple AI-powered programs within our data lake. That is, programs which produce a continuous stream of actionable insights based on the digital, enterprise, and third-party data being stored inside data lakes.
Although there is no single standard when it comes to implementation of AI, we see the successful ones going through these three phases.
In order to manage and succeed in your digital analytics program, it’s important to identify a handful of KPIs that reflect…