The MessageGears marketing console is an enterprise Java application that connects directly to customer data sources to allow our users to segment users and personalize messages. Traditionally, we’ve leveraged JDBC (Java Database Connectivity) drivers to standardize connectivity to dozens of traditional and modern databases — which work well across nearly any standard data source and give us the flexibility to connect to dozens of customer data stores. Today, however, I’m happy to share that MessageGears now leverages parallel processing in Snowflake extracts to support faster and more efficient data transfer to power our Segment, Message, and Engage products.
The importance of having accurate and reliable data for your customers cannot be overstated. Making sure you’re able to send timely and relevant messages to your customer base is crucial to running successful marketing campaigns. This sounds like a no brainer when it comes to marketing, but it’s a challenge all marketers constantly face.
Audience Recording — MessageGears Segment’s newest feature — makes your customer data more reliable and actionable than it’s ever been before. Since the MessageGears application has direct access to your data, we can accurately streamline data feedback loops with modern cloud data warehouses such as Snowflake and BigQuery. Audience Recording allows users to record the exact state of their recipients when they were sent, including the data enrichment provided by the MessageGears Segment product. This dramatically increases data integrity as marketers use it to make decisions in their future campaigns.
When you’re trying to send personalized messaging campaigns across various channels, testing to ensure success is one of your biggest challenges. But it’s also essential so you know you’re not flying blind, and the only way to get it right is to have the correct combination of tools at your disposal.
In our latest webinar, we joined with our partners at Havas Helia to explain how MessageGears Segment combines with their SmartDesign approach to empower marketers to do more with the customer data they’ve collected, and why it’s so difficult to do for many marketers.
When Super Senders explore switching to a new ESP, they inevitably hear pitches where an ESP’s sales rep makes numerous claims about how easy they’ll be to work with, and how everything they want to do is possible on this new platform. They’ll see slide decks and videos and maybe even some hands-on demonstrations of the product so they can get a feel for the user interface.
When designing Engage, we wanted to ensure that users could have simple and straightforward API access to data no matter their data or access pattern. Although we’ve previously written on how Engage’s easy access to data can let marketing teams power communications in real time, I think it’s worth exploring the different ways users can interact and access their Engage data and review a few use cases for developers or technical marketers to use data in real time.
Although the industry puts a big effort on making the most of the moments that matter, ultimately marketers need to communicate with their customers in the way that their customers think of them. This means a constant two-way relationship between brand and consumer — not just sending messages (although cross-channel messaging is increasingly important), but staying top of mind in all channels, both active and passive. That’s why MessageGears has introduced support for Facebook Custom Audiences and Google Customer Match as destinations within its Segment product.
For most marketers, the idea that your email service provider holds the data that you’re using to build campaigns is simply a fact of life. It’s just the way it is. Because they need your customer data to be in their cloud in order for you to use it, of course you have to send it up to them — and pay for that storage. It may not be ideal, and it causes numerous problems — from data lag to an inability to easily add new fields to a lack of data security — but it’s just something you’ve got to deal with as a marketer.
The MessageGears marketing console is an enterprise Java application that connects directly to Customer data sources to allow our users to segment users and personalize messages. Traditionally, we have leveraged JDBC (Java Database Connectivity) drivers to standardize connectivity to dozens of traditional and modern databases, which work well across nearly any standard data source and give us the flexibility to connect to dozens of customer data stores.
Today, however, MessageGears now fully integrates with the Google BigQuery API to support faster and more efficient data transfer to power our Segment, Message, and Engage products.
Last week, I wrote about our new product, Segment, and how it enables marketers to effectively segment, enhance, and export their data. This week I’ll continue the discussion of Segment, but I’d like to give a more detailed look at our design and architecture of the product and why our solution is able to support the needs of the modern marketer.
MessageGears has always led the market in the ability to plug in to our users’ data and allow rich audience creation for message sending. It’s the reason we exist — enterprise organizations need live access to their data in order to keep up with consumer demands for messaging personalization, and the leading crop of remote cloud ESPs doesn’t provide them with that.
However, many users want to go even further — starting with a large data pool of their recipients and having the capability to finely segment them into recipient groups and orchestrate the communication of these users to different channels and experiences. It’s not enough for many ambitious marketing teams to be able to merely access their data. They want to be able to do more with that data, to segment it in whatever way they want, in order to fine-tune the personalization level of their campaigns, targeting the right people with the messages that are most relevant, based upon what they know about those people.