Why Now is the Right Time to Make the Switch to MessageGears

Jun 11, 2020
Nick Ziech-Lopez

For many marketing and I.T. teams, there are few things they’d less readily volunteer to do than switch from their current email service provider. We hear it all the time. Even when they acknowledge the problems they have that seem insurmountable, their last switch was so difficult and time consuming — even after they were told it’d be easy — that the devil they know can seem like a better bet than the one they don’t.

Some of the objections may even be swimming through your head right now. Maybe what we’re saying makes a lot of sense in a vacuum, but there are too many obstacles for you to commit to the logistical challenges of a switch. Below, we’ve addressed the objections we hear most frequently from prospects, and explain why, understandable as your concerns may be, we really are different and well worth making the change.

MessageGears’ core tenet is that it connects directly to my data. Is this solution going to drive up my data costs?

Most remote messaging providers consume time and money understanding how to get your data into their platform. These hidden costs that are inherent to these solutions drive a lot of spend for enterprises due to the manpower and time that it takes to solve these problems.

MessageGears drastically reduces data costs for our users by cutting out inherent spend due to:

  • The sheer volume of data no longer being shipped back and forth to an ESP
  • The dedicated IT resources inherent to supporting this volume
  • The reduction in issues that arise when constantly shipping data back and forth

By focusing your resources on your own data environment, MessageGears saves money and IT costs by up to 50%.

Is It OK with connecting directly to data? Does I.T. like you?

Most marketing organizations are used to getting the cold shoulder from I.T. teams. After all, most requests take time and resources and can add to the long backlog typically present for technology orgs.

However, I.T. Teams love MessageGears because we reduce these requests and headaches, allowing them to directly control what happens in their environment.

Does my team assume more responsibility with a solution that relies solely on our data/infrastructure?

Similar to concerns with data access and usage, MessageGears actually reduces the amount of involvement needed from I.T. teams and infrastructure by skipping the need to transport large amounts of data.

But in addition to that, we typically see that I.T. teams love that they are able to have control over the key pieces of hardware and infrastructure you need to get critical messages out. With no more relying on third parties to ensure that services don’t fail at peak volumes, I.T. is now in the driver’s seat to be the “good guy” for marketing in a more collaborative environment.

Our data isn’t in a good spot right now. We’re going to have to change way too much about our data setup to work with MessageGears

Investing in a modern data platform is one of the best ROI and cost-positive investments you can make, both in marketing and across the organization. That’s why MessageGears has teamed up with our partner, Snowflake, to make your data usable throughout your enterprise. Using MessageGears in conjunction with a Snowflake data warehouse will both save you money and allow you to communicate with your users by analyzing and understanding who they are and what they want.

We have too much custom reporting and configuration with our current vendor to be able to move to anyone else

Switching messaging systems is daunting — the amount of custom reporting and data movement that needs to be replicated and re-done can make it feel impossible. That’s why MessageGears has put an emphasis on delivering data to you in real time. The ability to consume all audience and engagement data without a prescribed schema puts you in the driver’s seat to satisfy any of your reporting or analytics needs.

MessageGears won’t be able to scale to our needs, which are massive and frequently changing

The most common bottlenecks for other ESPs are MTA capacity and rigid, multi-tenant data structures. The MessageGears system architecture breaks through these bottlenecks by offering a schema-less customer data integration and an elastic personalization and delivery service layer.

Connecting directly to client data sources enables marketers to personalize content based upon their internal structure. MessageGears processing a schema-less structure allows for large, heavy sends to be broken into smaller batches of data and elastically distributed across our infrastructure.

Find out more about how MessageGears scales to meet demand.

Why wouldn’t I just trust an all-in-one marketing cloud?

Although they are big names that you are likely familiar with, many of the large campaign management systems aren’t as all together as they appear.

To understand how these Everychannel Service Providers evolved, consider that for many of them, message sending wasn’t their original core competency. Instead, these software giants acquired different messaging providers throughout the years to cobble together a disconnected solution that attempts to do everything. In fact, time to implement or integrate these systems with large enterprises can take up to 5 years to fully implement!

Which is not to say these solutions don’t do some things well. Indeed, they can be great messaging tools. But even at their best, they aren’t designed to be the only system of record for messaging and often need users to utilize their system to do absolutely everything marketing related. Super Senders have massive data needs and the ability to massively scale across every channel, breaking the all-in-one model and needing a tool built to cater to their needs.

To learn even more about why now is the right time to move on from your problem ESP, read our new whitepaper that digs into the details of how we’re better.

About the Author

Nick Ziech-Lopez

Nick is the Senior Director of Product Marketing at MessageGears. He applies his background in engineering and data analytics to organizing his product backlog, understanding user experience, and obsessing over the Chicago Cubs.