Marketing

A marketing-centric platform to easily find and segment your customers to reach the right audience.
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Integrations Include:

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Make marketing decisions based on data, not guesswork with insights that transform your strategy

Marketing Lists
Pre-Built Reporting
AI Insights
Customer Sentiment Analysis
Transparent Data Dictionary

Profitability at the most granular level

Don’t assume profitability based on “averages of averages”. Connect to your data at the most granular level including interchange on transactions and interest spreads on individual products. 

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CUSTOMERS INSIGHTS

Powerful ML/Al-driven engagement,
segmentation, and predicitive actions

Gemineye data lakehouse metrics summary
Definition Customization
Gemineye data lakehouse metrics summary

Definition Customization

Definition Customization documents fully integrated into the solution and design to ensure your team knows exactly how all fields move from source to the data warehouse to the dashboards and reports.

Advanced Lakehouse Monitoring

Advanced Lakehouse Monitoring

Advanced Lakehouse Monitoring documents fully integrated into the solution and design to ensure your team knows exactly how all fields move from source to the data warehouse to the dashboards and reports.
Gemineye data lakehouse metrics summary

75 integrations and counting

We currently support over 75 integrations – even the ones that other data analytics providers won’t touch. Our integrations incorporate leading credit union and bank solutions, like consumer loan and mortgage originations, digital banking, CRM / MRM, third-party data vendors, and more.

Gemineye integrations infographic

Marketing lists made easy

Gemineye makes those tedious marketing list generation activities simple and seamless. From our thousands of attributes, you can easily filter down based on product and service utilization, demographic attributes, tenure, location, etc. to feed to your marketing campaign tools.
Gemineye Data Lakehouse customer listing report for deposits and loans

Marketing lists made easy

Gemineye makes those tedious marketing list generation activities simple and seamless. From our thousands of attributes, you can easily filter down based on product and service utilization, demographic attributes, tenure, location, etc. to feed to your marketing campaign tools.
Gemineye Data Lakehouse customer listing report for deposits and loans

Advanced machine learning and AI insights

Our customer engagement model, built on a proprietary, cutting-edge data science solution, gives your marketing team Fortune 500 quality insights that can be easily consumed in simple dashboards and leveraged in your list generation and campaigns.
Gemineye Data Lakehouse engagement score distribution report

Advanced machine learning and AI insights

Our customer engagement model, built on a proprietary, cutting-edge data science solution, gives your marketing team Fortune 500 quality insights that can be easily consumed in simple dashboards and leveraged in your list generation and campaigns.
Gemineye Data Lakehouse engagement score distribution report

Customer sentiment analysis

With our embedded generative AI capabilities, advanced insights around customer sentiment analysis, NPS modeling, and other key marketing features become available in a simple, drag-and-drop interface.
Gemineye Data Lakehouse AI assistant screenshot

Customer sentiment analysis

With our embedded generative AI capabilities, advanced insights around customer sentiment analysis, NPS modeling, and other key marketing features become available in a simple, drag-and-drop interface.
Gemineye Data Lakehouse AI assistant screenshot

Hear from Our Clients

Gemineye’s intuitive platform and client-first approach empower our teams to make data-informed decisions that ultimately benefit our members. Better technology means more ways to support the communities we call home.
Tony Beal-Marketing
Tony Beal
Vice President of Business Intelligence at Gesa Credit Union
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Marketing lists made easy

Gemineye makes those tedious marketing list generation activities simple and seamless. From our thousands of attributes, you can easily filter down based on product and service utilization, demographic attributes, tenure, location, etc. to feed to your marketing campaign tools.
Gemineye Data Lakehouse customer listing report for deposits and loans

Marketing lists made easy

Gemineye makes those tedious marketing list generation activities simple and seamless. From our thousands of attributes, you can easily filter down based on product and service utilization, demographic attributes, tenure, location, etc. to feed to your marketing campaign tools.
Gemineye Data Lakehouse customer listing report for deposits and loans

Advanced machine learning and AI insights

Our customer engagement model, built on a proprietary, cutting-edge data science solution, gives your marketing team Fortune 500 quality insights that can be easily consumed in simple dashboards and leveraged in your list generation and campaigns.
Gemineye Data Lakehouse engagement score distribution report

Advanced machine learning and AI insights

Our customer engagement model, built on a proprietary, cutting-edge data science solution, gives your marketing team Fortune 500 quality insights that can be easily consumed in simple dashboards and leveraged in your list generation and campaigns.
Gemineye Data Lakehouse engagement score distribution report

Customer sentiment analysis

With our embedded generative AI capabilities, advanced insights around customer sentiment analysis, NPS modeling, and other key marketing features become available in a simple, drag-and-drop interface.
Gemineye Data Lakehouse AI assistant screenshot

Customer sentiment analysis

With our embedded generative AI capabilities, advanced insights around customer sentiment analysis, NPS modeling, and other key marketing features become available in a simple, drag-and-drop interface.
Gemineye Data Lakehouse AI assistant screenshot

75 integrations and counting

We currently support over 75 integrations – even the ones that other data analytics providers won’t touch. Our integrations incorporate leading credit union and bank solutions, like consumer loan and mortgage originations, digital banking, CRM / MRM, third-party data vendors, and more.

Gemineye integrations infographic

News and Resources

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Set a Course: Tracking (and Correcting) Your Data Analytics Progress in 2024

Why Data Analytics Matters Data analytics is essential for staying competitive in today’s competitive landscape. A recent study by Jack Henry found that 42% of credit unions prioritize leveraging data ...

Ann Ditlow and bento box
Ann Ditlow: Data Analyst at 4Front CU

Welcome to our very first edition of “A Day in the Life of a Data Analyst,” featuring the equally talented and down-to-earth Ann Ditlow, Data Analyst at 4Front CU. Ann ...

Get to Know Bill Butler, Sr. Power BI Developer & Consultant

Bill has a deep background in the credit union industry. Throughout his robust career in the industry, Bill has utilized technology and data with finance/accounting to help credit unions and banks ...

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How P1FCU Uses the Gemineye Data Lakehouse to Improve Operations in Branches

P1FCU is a $2.2B Lewiston, Idaho-based credit union, who has grown tremendously over the past decade and is now a financial leader in the Western Idaho region. Striving to answer...
READ NOW
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Marketing FAQs

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How Can Marketing Help Your Team?

Access the same technology that Fortune 50 companies use to drive their data program

Provide what your customers want today, and prepare for their needs tomorrow

Enjoy a practical and powerful data platform built for the needs of contemporary financial institutions

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News and Resources

where should your core live video screenshot

[Video]: Should Your Data Warehouse be Hosted Where Your Core Lives?

The Gemineye team is here to bust a myth that can seriously hamstring credit unions and community banks in the early stages of building out or updating their analytics strategy. Does your data warehouse have to be hosted where your core lives? The answer is a solid no. The Gemineye Team Explains Why Your Data Warehouse Need Not Live with Your Core Gemineye crew Matt Jefferson, COO and Maggie Chopp, Director of Business Development, discuss why your data warehouse doesn’t need to (and shouldn’t) live in the same place as your core. The evolving landscape of data warehouse hosting, cloud-based analytics, and best practices for modern bank and credit union data architecture prove that this concept in indeed a myth. For example, most cores are built on 15-year-old technology and it simply doesn’t make sense to base your technology decisions off was developed over a decade ago. So whether you’re modernizing legacy systems or building new data strategies, this conversation provides critical information to know before you make a decision on where your data warehouse should reside. Key Takeaways in this Video Include: The limitations of on-premise data warehouses in today’s environment Why most modern core systems are cloud-based and the importance of embracing this trend The misconception of co-locating your data warehouse with your core systems The benefits of selecting best-of-breed cloud solutions versus integrated on-premise setups How data warehousing differs fundamentally from core application hosting The impact of legacy technology on future business agility  Full Transcript Alicia Disantis (00:00) Okay, so Matt, should your data warehouse be hosted wherever your core lives? So for example, on premise, co-hosting, etc. Matt (00:11) Yeah, I think today most most cores are not cloud based and even the newest cores are at least 15 years old, right? So if if you’re really basing your technology decisions on on stuff that was developed 15 years ago plus right, that’s not going to be a good decision for your business going forward, right? Most of the modern analytics AI platforms are cloud based and all of those are getting new updates and things. So you really want to embrace kind of the best of breed technology. And unfortunately, you can’t install that technology where your core sits, right? In a physical data center, sitting somewhere in the middle of the country, right? They’re cloud-based. So I would say it doesn’t really matter.  That thought process really has kind of gone by the wayside. You really pick the best of breed in general. And from an analytics perspective, AI perspective, that is cloud-based. Maggie Chopp (01:06) And Alicia, I’d add, I think we’ve heard it a few different ways. Think one of the things that sort of sounds advantageous is having both those things in the same place is like parking two cars in the same garage. But we’d argue that data warehousing is fundamentally pretty different from the goal of your core. And like Matt said, you want to pick best of breed anyways. And so we think that again, you should pick the best application for the best use and data warehousing is very unique in that way. Want More Content on Starting Your Analytics Journey? Download Our Whitepaper.

Alison Stanback Working

Alison Stanback: Business Intelligence Analyst at Space Coast CU

In this edition of “A Day in the Life of a Data Analyst,” we feature Alison Stanback, Business Intelligence Analyst at $8B Space Coast CU, the third largest credit union in Florida. Alison’s straightforward and optimistic approach to data analytics is equally inspiring and hilarious. She had Alicia Disantis, Head of Marketing at Gemineye, in tears. We sat down to talk with Alison about her grassroots journey into data analytics, her daily routines, and her outlook on communicating with business units. Alison’s Unique Perspective on Data Analytics Alicia Disantis: You started out as a teller at a credit union and have a unique “get it done” perspective on analytics. Tell us what inspired this. Alison Stanback: I started on the front line with members, helping them resolve issues, so that’s how my brain is wired. If there’s a problem, my instinct is always, “Okay, how do we fix it and move forward?” When you come straight from a technology background, it’s easy to focus primarily on the tools themselves. Coming from operations, I tend to start with the problem first and then ask what tools or data we can use to support a better outcome. I’m always thinking there’s more we can leverage if we look at the problem from a different angle. Alicia: Your tolerance is set pretty high. Alison: My tolerance is pretty high. I spent years working in high‑volume branch environments with very real, very human situations happening around me every day. That experience teaches you quickly how to stay calm, de‑escalate, and keep things moving without overreacting. So yes, we have NCUA requirements. Yes, there are a lot of data points and controls we have to account for. But I don’t automatically see that as a crisis. I don’t see chaos, I see opportunity. I think that mindset comes from starting in the branch, not in technology. When you’re used to solving problems face‑to‑face, you learn to focus less on panic and more on progress. Alicia: What got you interested in data analytics, and what do you find most rewarding? Alison: When you’re working with members every day, you naturally start thinking beyond the individual interaction and ask, “How many other members are impacted by this?” I was able to take my branch experience and turn those observations into something actionable. Transforming real member issues into reports and insights that could be shared with the right teams to support better decisions. That’s really how I got hooked on data. Data tells the story of what’s happening. It provides clarity, highlights patterns, and helps connect the dots so leaders can see the full picture and make informed decisions. Being able to show how members are being impacted is what I find most rewarding. I jumped at the opportunity to move from the branches into IT and analytics, and I’ve been there ever since. One thing I truly value about Space Coast CU is their commitment to promoting from within and giving employees opportunities to grow. I’ve been an analyst for nine years, and most of my learning has been hands‑on. I learned alongside an experienced analyst, made plenty of mistakes early on, and gradually picked up best practices. Everything from writing cleaner code to designing dashboards that actually support decision‑making. Leadership was incredibly supportive, and I was never left to figure things out entirely on my own. I don’t have a traditional degree, but I became deeply committed to learning. I spent time watching YouTube content like Guys in the Cube, enrolling in Udemy courses, and continuously building my skills. Space Coast even reimbursed many of those courses, which made a huge difference. Once I started learning, I couldn’t stop! That curiosity is what still drives me today. Alicia: When you became a teller, did you have any idea you were going to spend 20 years in credit unions? Alison: I’ve only had three jobs in my entire life. If I find a place I enjoy, I tend to stay. Space Coast has really become a long‑term home for me. When you spend 40 hours a week working with people, they quickly stop being strangers. You build trust, relationships, and a sense of shared purpose and that’s is what has kept me here. Alicia: You had strong support from your organization and I’ve actually found that to be a common trend in folks I’ve interviewed, that they learn in house rather than obtain formal degrees. I’m curious to know if there were any challenges you faced in your career. Alison: One of the biggest challenges I encountered after moving into data was realizing that not everyone speaks the same “data language.” You can walk someone through an entire presentation, get agreement along the way and then hear, “This is great. Can I have it in Excel?” That experience taught me how important it is to focus on how I communicate insights, not just the insights themselves. My background in customer service helped a lot. When people are dealing with sensitive topics like their finances, they may feel overwhelmed, and if they don’t truly understand what’s being presented, they’re unlikely to act on it. I’ve learned to approach data the same way I approach money conversations: keep it clear, relevant, and accessible. If someone doesn’t understand what they’re seeing, they won’t use the dashboard or take action based on it. Dashboards aren’t just about how they look. They are decision tools. If done well, they replace static spreadsheets by helping people understand why something is happening, not just what happened. A Typical Day for a Business Intelligence Analyst Alicia: Tell me a little bit about your day. What’s the structure of your department and your day-to-day inner workings? Alison: First thing in the morning, I review any incoming tickets to make sure they’re clear and well‑defined. I take time to flesh out the request so what’s documented reflects what the business is actually asking for. Once that’s done, tickets are assigned to the data team and we talk ...

Corelation 2026 Conference Gemineye

Gemineye at the 2026 Corelation Conference

The Gemineye team is so excited to be attending the Corelation Client Conference this year! We’ve been exhibitors at the Corelation Client Conference for a while now, and we’re delighted to have seen their growth and success in the credit union movement through the years. This year, we are making an extra big splash and are very much looking forward to connecting with our clients and meeting new faces in gorgeous San Diego, CA. This year, we’ll be front and center at lucky number booth #77, right by the registration booth, and we’ll also be sponsoring the headshot photo lounge (because you can never have to many headshots, right?) We’d love for you to stop by our booth to share the breakthrough tools we’ve been developing and learn about your data journey in ’26. New Products, Staff, and AI tools The past six months have been big ones for Gemineye, with a new product version launch and several new key team members we’re excited to introduce to you. What might be most exciting, however, is development of our AI assistant – a modern, easy-to-use product different from anything currently available. Interested in seeing our AI assistant in action? We’re hosting a live demo on Friday, May 15th at 11am. Come for the groundbreaking features Stay for the famous cannolis from Nonna’s in Little Italy. 👉 Click here to grab a seat at our demo. Gemineye Sponsors the Headshot Lounge An updated professional headshot is always a good decision. We’re looking forward to sponsoring the Corelation Headshot Lounge (sounds fancy) this year, and will be using it as an opportunity to conduct critical market research around AI, governance, and other data themes. Look for one of our team members to participate and snag a gift card. Book a 1:1 Consultation If you’d like to set up a 1:1 time to talk with the Gemineye team about our business use capabilities or take a technical deep-dive, you can schedule time with us here. Our booth team are experts in data and you’ll be able to talk well beyond the technical depth of the standard booth rep level. 👉 Click here to schedule a 1:1 session with us. Discover More About the Capabilities of the Gemineye Data Lakehouse Interested in learning how the Gemineye Data Lakehouse can provide you with the tools for success? Browse the solutions we provide and teams we help!

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