By now, consumers are well aware of the potential for how brands can use customer data to communicate with them in a more personalized way. Every day, in their inboxes and on their phones, they bear witness to both the best and worst examples of brands trying to bring more relevance to their cross-channel marketing. And each time they receive a brand message that utilizes their data in a clever, positive, and responsible manner, it raises their expectations for future brand communications.
One thing the most innovative marketers are learning is that mere personalization isn’t always enough to send messaging campaigns that truly resonate with your customer. You need to go beyond the behavior and understand the why. In our latest webinar, Michele Grant (CEO, co-founder of Block + Tackle) joined us to discuss the future of content as data, and why it’s essential that you contextualize the customer experience in order to send the types of messaging campaigns that really deliver results.
When it comes to email marketing, consumer expectations have never been higher for personalization, or for data privacy. If you think this seems like a paradox, you may be right. The very customer data that enables you to send the types of highly tailored content your customers crave can also make your brand seem creepy if you cross the line for any individual on your list. It can seem like a losing battle, though, for some, to the point that some brands almost give up entirely, sending bulk mailings that don’t stand out in today’s crowded inbox. So what’s the solution?
In our recent webinar, email industry veteran Angela Vega (Senior Marketing Manager, Vrbo) revealed five key guidelines that can help you deliver content your customers will love (and that will lead them to buy) while respecting the security of their data at the same time. Here’s a look at those guidelines and how each can contribute to managing the tricky personalization vs. privacy balance.
I previously wrote about how we recently rolled out MessageGears Engage, our brand new product that offers secure and scalable access to customer contextual data (or any other internal data) in an easily consumable format. This enables personalization in real time, empowering marketers to deliver an unprecedented level of brand engagement and up-to-date content.
That marketer-focused overview gave a good high-level look at the product, but I’d like to take a deeper dive into the struggles that modern enterprises face, and how Engage can be an incredibly useful tool to help organizations overcome data hurdles.
When it comes to sending sophisticated, personalized messaging campaigns, the quality and depth of your customer data is going to drive everything. If your data is comprehensive and organized in a way that’s accessible to your marketing team when they need it, your cross-channel messaging results will likely reflect the work and resources you put into that. If not, though, the likelihood is high that you’re lagging behind your competition when it comes to delivering campaigns that your customers look forward to seeing in their inboxes and on their phones.
So what if you have a good deal of customer data, but there are gaps that are preventing you from executing the level of strategy that you want? Our recent webinar with AnalyticsIQ looked at how their data asset can help you fill in those critical gaps, allowing you to know your customers better than you ever have in the past. And the better you understand who your customers are, their desires and motivations, the more targeted you can be with the messages you send them.
Social media can seem like an ever-present part of our culture today, going far beyond our personal lives to become a vital part of the marketing strategy for most companies. Because of their large amounts of data on the individuals that use the platforms, social channels can provide an enticing way to reach the types of people who will buy your product, and enterprise companies devote significant resources to doing so. Some businesses even surrender their own websites in favor of using Facebook as their primary channel for providing information and interaction to their customers.
In today’s environment, there’s probably little risk or danger in doing this. LinkedIn, Twitter, and Facebook (and Instagram, by extension) are all publicly traded companies with massive users bases, and they’re entrenched as advertising platforms with access to troves of data voluntarily surrendered by the people you want to market to. It makes sense to be directing at least some percentage of your marketing efforts toward social media.
Enterprise B2C marketers understand better than most the importance of having a clean and organized customer database. And with the massive amounts of data they’re dealing with, getting it to a point where it’s consolidated and easily accessible for marketing purposes can be a heavy, expensive lift.
Once your company has invested in the tools that can make that happen, though — whether that’s partnering with a modern data warehouse (like Snowflake, BigQuery or Redshift) or building out your own solution internally — how does your ESP fit into the data conversation? If you put all the time, money, and effort into organizing all your data, will your ESP be ready to help you take advantage of that? Or will it just stand as another obstacle that continues to make it difficult to fully utilize the tools you now have?
When we teamed up with Snowflake to help marketers and tech teams really turn their data loose for cross-channel campaigns, we had high expectations for how much it would help the Super Senders we work with. We knew this partnership had the potential to be a game changer, empowering them to build and deliver whatever campaigns they could dream up without data or ESP limitations getting in the way.
But moves like this never fully hit home until you hear from a data specialist who’s in those trenches every day with a major worldwide brand, and he articulates exactly what you hoped for with your vision. It’s never been more clear: This is why MessageGears exists.
For enterprise marketers competing for space in the inbox and eyeballs on mobile, there’s never been a more complex — or exciting — time than today. Technology is enabling teams to tailor not only their campaign content but the device in order to reach customers with relevant messages where they’re most likely to engage with it.
Our latest survey asked enterprise marketers about their experience with cross-channel messaging to try to get a feel for how they’re either thriving or struggling, and what adjustments they’re having to make in order to keep up in a rapidly changing landscape. In our webinar last week, we took a deep dive into this research, examining some of the key findings and trying to place them into the broader context of the marketing world, to better understand where cross-channel messaging stands today, and where it’s likely headed in the near future.
When the “Data Nation” – made up of the brightest minds in the modern data world – gather June 3-6 in San Francisco for Snowflake Summit, there’s going to be so much to hear and see. We can’t stop thinking about all the amazing speakers and partner ecosystem, and everything we can learn to help our customers maximize the potential of the data they’ve collected. Just looking at the speaker list has us counting the days until June 3.
It’s especially exciting for us because of our direct integration with Snowflake, and the opportunities for data-driven brands when their cross-channel ESP and their modern data warehouse are connected together. Already, we’re seeing so many ways this is enabling marketers at our customers to move more quickly (and securely) than ever before, connecting directly to Snowflake modern customer data platforms to pull live, real-time data into their personalized cross-channel campaigns for audience segmentation and conditional content.