Credit Union Data Analytics: Who are your best members? :)

Our “A” members are the ones who know the difference between a credit union and a bank, believe it, feel it, and espouse it. They bring us all of their financial services business and tell all their friends. If you are interested in what their data tells you about them then this post in Credit Union 2.0’s “Almost 99 Small Data Credit Union Hacks” series will be helpful.

This blog is the ninth and final part in Credit Union 2.0’s “Almost 99 Small Data Credit Union hacks” series and is based on the book Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age which covers in depth both big and small data for credit unions. There are six types of data that your Credit Union should be aware of:

  1. Digital Analytics – Desire
  2. Profitability – Fit
  3. Wallet Share – Depth
  4. Transaction – Triggers
  5. Design Data – Predictive
  6. Execution – IFTT (if this than that)

The key here is patterns. Once you sniff out the predictive behavior, you can be proactive with how you interact with the member.

Here are some ideas on where to look for your “A” member patterns:

Data What to do with it?
Favorite Grocery Store Special promotion with that store
Favorite Vehicle Special promotion with the local auto dealer
Favorite Coffee Shop Hang out there too – send them a cup on you!
Favorite Online Retailer Special Promotion
Favorite Local Small Merchant Hang out there too
Favorite Gym Special Credit Union deal
Who They Follow on Facebook Could this be a potential guest blogger on your site? Maybe there is an opportunity for you to update your content to be more relevant.
Where They Work Follow their leadership online
When They go to Branches Better service hours
Who Their Favorite Tellers/Call Center Reps Are Understand why
What Life Stage They are at What is next for them and how can you help?

 

Knowing your “A” members inside and out and further tailoring your services will help those members bring their friends. You want your “A” members fiercely loyal and believing in the credit union difference. Show those members the difference every day and hang out with them and their friends.

Want to learn more about how your fellow Credit Union leaders are using data? We invite you to join our Credit Union 2.0 Strategist Group where over one thousand industry leaders comment on new news and trends while sharing and learning from one another.

This is the final post in a nine part series. If you want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

In case you missed it:

Click here for part one of the data analytics series.

Click here for part two of the data analytics series.

Click here for part three of the data analytics series.

Click here for part four of the data analytics series.

Click here for part five of the data analytics series.

Click here for part six of the data analytics series. 

Click here for part seven of the data analytics series. 

Click here for part eight of the data analytics series. 

Credit Union Data Analytics: Who are your best members?

Our “A” members are the ones who know the difference between a credit union and a bank, believe it, feel it, and espouse it. They bring us all of their financial services business and tell all their friends. If you are interested in what credit union data analytics tells you about them then this post in Credit Union 2.0’s “Almost 99 Small Data Credit Union Hacks” series will be helpful.

This blog is the ninth and final part in Credit Union 2.0’s “Almost 99 Small Data Credit Union hacks” series and is based on the book Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age which covers in depth both big and small data for credit unions. There are six types of data that your Credit Union should be aware of:

  1. Digital Analytics – Desire
  2. Profitability – Fit
  3. Wallet Share – Depth
  4. Transaction – Triggers
  5. Design Data – Predictive
  6. Execution – IFTT (if this than that)

The key here is patterns. Once you sniff out the predictive behavior, you can be proactive with how you interact with the member.

Here are some ideas on where to look for your “A” member patterns:

Credit Union Data Analytics Patterns

Data What to do with it?
Favorite Grocery Store Special promotion with that store
Favorite Vehicle Special promotion with the local auto dealer
Favorite Coffee Shop Hang out there too – send them a cup on you!
Favorite Online Retailer Special Promotion
Favorite Local Small Merchant Hang out there too
Favorite Gym Special Credit Union deal
Who They Follow on Facebook Could this be a potential guest blogger on your site? Maybe there is an opportunity for you to update your content to be more relevant.
Where They Work Follow their leadership online
When They go to Branches Better service hours
Who Their Favorite Tellers/Call Center Reps Are Understand why
What Life Stage They are at What is next for them and how can you help?

 Credit Union Data Analytics: A Members

Knowing your “A” members inside and out and further tailoring your services will help those members bring their friends. You want your “A” members fiercely loyal and believing in the credit union difference. Show those members the difference every day and hang out with them and their friends.

Want to learn more about how your fellow Credit Union leaders are using data? We invite you to join our Credit Union 2.0 Strategist Group where over one thousand industry leaders comment on new news and trends while sharing and learning from one another.

This is the final post in a nine part series. If you can’t wait for next week and want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

In case you missed it:

Click here for part one of the data analytics series.

Click here for part two of the data analytics series.

Click here for part three of the data analytics series.

Click here for part four of the data analytics series.

Click here for part five of the data analytics series.

Click here for part six of the data analytics series. 

Click here for part seven of the data analytics series. 

Click here for part eight of the data analytics series. 

Credit Union Data Analytics: How do you know your member is about to leave you? :(

If you work for a credit union and are looking for ideas on how to stem attrition or member loss, then this post is for you.  This blog is part eight in Credit Union 2.0’s “Almost 99 Small Data Credit Union hacks” series and is based on the book Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age which covers in depth both big and small data for credit unions. There are six types of data that your Credit Union should be aware of:

  1. Digital Analytics – Desire
  2. Profitability – Fit
  3. Wallet Share – Depth
  4. Transaction – Triggers
  5. Design Data – Predictive
  6. Execution – IFTT (if this than that)

Sometimes members give us very subtle clues that they are moving on. Here are a few key actions to be watching for:

What the member does? What it means?
Reduce bill pay items by more than 25% Moving over to somewhere else
Credit Card activity stops one month New Credit Card
Member stops logging into online banking No longer the PFI
Member doesn’t order new checks Moving soon and not planning on taking you along
Member doesn’t get a new car loan from you and pays off the old Found a better deal
Payroll declines or disappears entirely Switching accounts
Checking account activity declines in volume Switching accounts
Have more to add? Email info@cu-2.com and help us improve this post!

 

If you pay attention to the warning signs, you may be able to save the membership and get the member engaged again. Credit Unions spend over $200 for each new member, however most problems are way less expensive to solve for a current member and require a lot less labor.

Want to learn more about how your fellow Credit Union leaders are using data? We invite you to join our Credit Union 2.0 Strategist Group where over one thousand industry leaders comment on new news and trends while sharing and learning from one another.

This is the eigth post in a nine part series. If you can’t wait for next week and want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

In case you missed it:

Click here for part one of the data analytics series.

Click here for part two of the data analytics series.

Click here for part three of the data analytics series.

Click here for part four of the data analytics series.

Click here for part five of the data analytics series.

Click here for part six of the data analytics series. 

Click here for part seven of the data analytics series. 

Credit Union Data Analytics: Wallet Share

We only have a couple of posts left – but don’t fret – we have saved some of our best content for the end of our Almost 99 Small Data Hacks for Credit Unions – Guide series. Today, we are covering how to gain wallet share for your credit union from data analytics. Who doesn’t want that?

Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age covers in depth both big and small data for credit unions. There are six types of data that your Credit Union should be aware of:

  1. Digital Analytics – Desire
  2. Profitability – Fit
  3. Wallet Share – Depth
  4. Transaction – Triggers
  5. Design Data – Predictive
  6. Execution – IFTT (if this than that)

This is a fun list with lots of innovate ways to trigger marketing campaigns once you have your marketing automation and content marketing in place.

Idea Data Action
Big Deposit Grooming Watch for unusually large deposits ($25k+) Develop a content campaign on key strategies to deal with new money. The strategy should be 5 to 10 blogs long and drive for a Call To Action (CTA) to download the guide. Once you see the deposit, start emailing the member weekly with one blog each week on the topic.
Loan Renewal 24 month Auto Loan Triggers a new content campaign on educational topics such as: maintenance requirements for older cars, when to trade your car in, how to determine your cars trade in value, etc.  Have 5 to 10 blogs targeting the goal of educating the member and renewing the loan!
Address Change When a member changes address Trigger an offer to order new checks
Venmo Usage Watch for the first Venmo usage Trigger a campaign on pros and cons of Venmo. Alternatives to Venmo.  Etc.
PayPal Usage Watch for the first PayPal usage Trigger a campaign on these various topics: pros and cons of PayPal, PayPal security vs. Credit Union Security, and the difference between PayPal and a credit union.
Bitcoin Usage Watch for the first Bitcoin usage Trigger a campaign on pros and cons of Bitcoin.  Educational piece on Bitcoin and how it works.
Low Balance Savings/Checking Low Balance Offer a skip a pay option that month for a fee and donate a portion to a local charity.
Pricing Auto price loans .25 points higher On the third consecutive good payment, send an email thanking the member and auto reduce the payment .25%.  This is a great built in surprise!
Rewards Monitor reward tiers on debit/credit Auto trigger outbound emails when the member hits new rewards tiers and options.
Tax Refunds When a one-time tax refund is deposited Trigger outbound content on key strategies for tax refunds, i.e. the impact of saving your tax refunds, what would your tax refund be worth if you saved it for thirty years at a credit union, etc.
Local Merchants Top usage and dollars locally Look at your members local purchase habits.  Create unique rewards where they already shop at local businesses.

a.       Ford – free car wash

b.       Coffee Shop – free cup of coffee

c.       Flower store – coupon

d.       Dry Cleaner – coupon

e.       Theatre (movie or otherwise) – free popcorn

f.        Kids Gym or activity – coupon for a class or session

g.       Home decoration store – special offer

h.       Home improvement store – coupon

i.         Gas Station – a fill up on us

j.         Grocery store – special offer

 

ATM Set the preference ·       Language

·       No Receipt

·       Last Deposit

·       Last Withdrawal

Credit Card Offer timing Other bank credit card payment date Most members pay their credit cards within the same 3 to 5 day window each month. Time credit card switch and educational content to when payments are due for each member.
Credit Card Purchase Subscription Data Members who aren’t using the credit union’s credit card should be offered an incentive to move recurring payments over.
Joint Member Added Look up wedding registry Send a congratulations gift or item from their registry. Follow-up with credit union guide to budgeting for newlyweds etc. It might also be a time where the couple begins looking for a house.
DMV Charge Watch for a local DMV payment Trigger information on how to change your address or other life stage events.

We are getting down to the end of the “Almost 99 Small Data Credit Union hacks” guide. The next two posts will be on “how to tell a member is leaving” and “how to get more “A” members” so stay tuned!

Want to learn more about how your fellow Credit Union leaders are using data? We invite you to join our Credit Union 2.0 Strategist Group where over one thousand industry leaders comment on new news and trends while sharing and learning from one another.

This is the seventh post in a 9 part series. If you can’t wait for next week and want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

In case you missed it:

Click here for part one of the data analytics series.

Click here for part two of the data analytics series.

Click here for part three of the data analytics series.

Click here for part four of the data analytics series.

Click here for part five of the data analytics series.

Click here for part six of the data analytics series. 

 

Credit Union Data Analytics: Common Error Avoidance

Now that we are more than halfway through our Almost 99 Small Data Hacks for Credit Unions – Guide series, it is time to switch gears a bit. This posts features hacks that are entirely focused on expense savings. One credit union I worked at would survey its members regularly. The common sentiment was that the credit union is great, and despite making lots of mistakes, they always fixed them. Sometimes mistakes can actually lead to good things, but in today’s world of fintech and automation, mistakes can also be infuriating.

This is the sixth post in a nine part series. If you can’t wait for next week and want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age covers in depth both big and small data for credit unions. There are six types of data that your Credit Union should be aware of:

  1. Digital Analytics – Desire
  2. Profitability – Fit
  3. Wallet Share – Depth
  4. Transaction – Triggers
  5. Design Data – Predictive
  6. Execution – IFTT (if this than that)

Data Analytics can help us see where our mistakes are occurring and how to proactively fix them before we risk repeating them over and over and infuriating our members.

Mistake Pain Action Plan
Sometimes our loan officers enter the wrong rate The member may not notice for a while, and it will take a lot of work to unwind and leave a bad taste. Run a report monthly of loans by interest rate. Sort by High and Low rates. You should quickly see if there are any incorrect rates. This then can be quickly fixed before it is painful for the member.
Sometimes our member service reps enter the wrong rate The member may not notice for a while, and it will take a lot of work to unwind and leave a bad taste. Run a report monthly of loans by interest rate. Sort by High and Low rates. You should quickly see if there are any incorrect rates. This then can be quickly fixed before it is painful for the member.
Broken Links Members click on link on your website that is dead. Once a month test the website links and make sure they are working.
Franken Forms When a member fills out an electronic form and information is sent to the abyss. Test your forms on your website and make sure you have a mapping of where the data goes and who is using it.
Monthly Subscriptions Sometimes companies like Netflix of other subscription services incorrectly bill our members. Determine the most frequent subscription services and prices, then look for members who are getting duplicate charges or are potentially being over billed and alert the member.
Phone numbers and hours There is nothing worse than having the wrong hours or addresses on your website Create an inventory of locations and hours and where the information is kept. Review this list once a year (website, facebook, behind online banking, mobile…you get the idea). Test the phone numbers and ensure everything is correct and operational.
Loan Payments Sometimes people over pay Run a report of loan payments made vs. expected.  If someone pays 10% more than normal, look into it further and let the member know.

Have an idea or something to add to this list? Submit it to the Credit Union 2.0 team today by emailing us at info@cu-2.com and help us improve this post!

Want to learn more about how your fellow Credit Union leaders are using data? We invite you to join our Credit Union 2.0 Strategist Group where over one thousand industry leaders comment on new news and trends while sharing and learning from one another.

This is the sixth post in a 9 part series. If you can’t wait for next week and want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

In case you missed it:

Click here for part one of the data analytics series.

Click here for part two of the data analytics series.

Click here for part three of the data analytics series.

Click here for part four of the data analytics series.

Click here for part five of the data analytics series.

 

Predictive Analytics for Credit Union: Member Limits

In the first several posts in this series, we covered key insights that can be gathered from address changes, payroll changes, and fees as part of our “Almost 99 Small Data Hacks for Credit Unions” series. Next up, we will dive into credit union services and limits that can sometimes negatively impact your relationship with a member.

This is the fourth post in a 9 part series. If you can’t wait for next week and want the full guide “Almost 99 Credit Union Small Data Hacks Guide” click here!

Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age covers in depth both big and small data for credit unions. There are six types of data that your Credit Union should be aware of:

  1. Digital Analytics – Desire
  2. Profitability – Fit
  3. Wallet Share – Depth
  4. Transaction – Triggers
  5. Design Data – Predictive
  6. Execution – IFTT (if this than that)

Most credit unions have several potentially confusing service limits and fees. Exposing some of these can cause undue fraud and sometimes even compliance risk. Consequently, credit unions may want to leverage this data behind the scenes and highly personalized it so as not to broadcast key risks or vulnerabilities to the world.

We explore several of these below.

Service or Limits What could happen? What should you do?
Remote Deposit Capture Setting a low limit universally will frustrate your top members. Design a multi-tiered profile based on key risk data and ensure that you give your best members higher limits.

 

When a member hits a limit, trigger an outbound email explaining how the limit was set and what they can do to change it.

ATM Limits Member is forced to make multiple trips to the ATM to get their business done…frustrating. If you see a member make the same size transaction multiple days in a row, send them a guide on how to request an increase and the pros and cons of doing so.
Change of Address You change it one account, but in a different system you forgot to update. Make a checklist of all of the locations you store addresses and make sure you clean them up everywhere at once.
Check holds Member forgets a hold came off. Ask members if they want to know when holds expire in an email. Offer them a one-click enroll in this option and then send them an email if a hold is removed.
No retirement savings Member struggles to retire Offer easy savings strategy series to members. Provide weekly tips or ideas to help your members save.
Fraudulent ACH Member is confused If a member reports fraud, trigger an outbound email that links back to an overview of how the credit union will help them troubleshoot and resolve the fraud. Update the member at agreed upon times during the investigation/resolution of the issue.
Fraudulent Check Member is confused If a member reports fraud, trigger an outbound email that links back to an overview of how the credit union will help them troubleshoot and resolve the fraud. Update the member at agreed upon times during the investigation/resolution of the issue.
Fraudulent Credit/Debit Member is confused If a member reports fraud, trigger an outbound email that links back to an overview of how the credit union will help them troubleshoot and resolve the fraud. Update the member at agreed upon times during the investigation/resolution of the issue.
Declined Transaction Member is confused and/or annoyed Have guides and information outlined on when and how transactions are declined. Include key troubleshooting strategies to resolve the issue for legitimate transactions. When the decline happens, send an outbound email to the member with a link to the guide.

As in our earlier post on turning negative fees into more positive experience, service limits are a similar opportunity. Anytime your credit union can change confusing non-transparent service items into positive transparent items, you build trust and loyalty from members.

Want to learn more about how your fellow Credit Union leaders are using data? We invite you to join our Credit Union 2.0 Strategist Group where over one thousand industry leaders comment on new news and trends while sharing and learning from one another.

This is the fourth post in a 9 part series. If you can’t wait for next week and want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

In case you missed it:

Click here for part one of the data analytics series.

Click here for part two of the data analytics series.

Click here for part three of the data analytics series.

How Frightened Should You Be About Amazon Banking?

By Robert McGarvey

For CU 2.0

Think very – that’s the question’s answer. But maybe you already have in hand the exact weapons you need to defend your position.  Surprised? 

Read on. 

Triggering this discussion is a recent Snarketing post by Cornerstone Advisors’ Ron Shevlin that  offered hard data about Amazon’s potential popularity as a consumer bank.  

Cornerstone had surveyed 2015 consumers – with both a bank account and a smart phone – and asked two questions: would you bank with Amazon for a free checking account?  Would you pay, $5 or $10 monthly, for a premium checking account that bundled in perhaps cell phone damage protection or roadside assistance? 

Before guessing the answers – they will surprise you – feast on this recent headline from the Evening Standard newspaper in London: Is data the new oil? How information became the fuel of the future. 

That question is deeply intertwined with Amazon’s possible banking play. 

Ask yourself: what US company knows an incredible amount about you, probably more than any other?  Hint: it’s a company that sells just about everything, much of it delivered free within two days. 

Amazon, very quietly, has emerged as a real king of the data mountain.  Google may know what interests you, Facebook may know who your friends (and enemies!) are, and Apple knows what tech bling you will splurge on, but Amazon – in many households – knows everything you buy, from groceries to clothes. 

In 2017 Amazon tells me I placed 107 orders. Many were for multiple items.  From cat food to an Echo Look.   

Think how well that data resource positions Amazon to pounce into banking.  It knows its many millions of customers, it’s already providing credit cards and purchase credit to millions of them, and CEO Jeff Bezos has never shied away from offering discounts if he believes doing so will produce longterm profits. 

Will Bezos take the plunge into the slow moving financial services world? Do we – consumers – want him to? 

A free Amazon account just might seem to be a threat to a credit union sweet spot. According to Bankrate.com, 84% of credit union checking accounts have no monthly maintenance fee, up from 72% a couple years earlier. For many credit unions, this is a key marketing difference. 

And yet Cornerstone’s research found something interesting.  Asked if they wanted a free Amazon checking account, 42% of consumers said nope.  Just 26% said they would open it.  Another 32% said they would consider it. 

Matters get more intriguing when Cornerstone asked if they wanted a premium, bundled account with a small monthly fee of $5 or $10.  Only 34% said no thanks – that’s sharply down from the 42% who rejected the free account. 

And 29% said they would open it, up from the 26% who said they would open a free account. 

Does free carry less weight than you thought? 

Is it maybe time to rethink using free as the centerpiece of the institution’s marketing? 

Shevlin stressed that, at least superficially, the institutions that would be most impacted by an Amazon entry into banking would be the money center banks, mainly because they are courting millennials who, Cornerstone said, are the ones most attracted to the Amazon potential products.  

But Shevlin tossed out this poisoned dart:  “The smaller financial institutions are already challenged in attracting younger consumers to their institutions. An Amazon entrance into banking will only make it harder for them.” 

And remember this: Amazon may well know your members better than you do. 

Frightening? You bet.  But there is that solution that already is in your hands.  The solution is to fight back by diving ever deeper into member data.  The data will tell you your next steps – if you learn to listen to it. 

Plenty of credit union focused big data experts are adamant that credit unions can fight back against the Amazons. 

Fight data with data. 

You have lots of data, from sharedraft accounts, credit and debit cards, maybe car loans and home mortgages. Use the data you have to prepared a battle plan. 

You will need it because, whether Amazon takes the plunge into consumer banking or not, other non banks will.  They already are circling this pond and they act as though they smell blood in the water.   

You have the data. It’s the only weapon you need.  

And remember that in the 21st century data is indeed the new oil. Let it power your institutional growth. 

Data Analytics for Credit Unions: What can you learn from your member’s payroll?

In the last post in this series, we covered key insights and actions you can take when your member changes their address. This post continues takes a similar path and explores what can you learn when your member changes their payroll.

This is the third part of a 9 part series. If you can’t wait for next week and want the full guide “Almost 99 Credit Union Small Data Hacks Guide” click here!

Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age covers in depth both big and small data for credit unions. There are six types of data that your Credit Union should be aware of:

  1. Digital Analytics – Desire
  2. Profitability – Fit
  3. Wallet Share – Depth
  4. Transaction – Triggers
  5. Design Data – Predictive
  6. Execution – IFTT (If this than that)

If you have ever changed jobs or been laid off, then you know how much paperwork is involved. This is a prime opportunity to make your members feel the credit union difference. Having plans around the different stages can help make sure

  1. A) Your member is ok
  2. B) Your member pays you first before other creditors
  3. C) You build an experience and have positive interactions that makes someone a member for life

Here is a quick list of what you can learn and what you should do if your member changes their payroll:

What Happened? What could it mean? What should you do?
Member’s payroll goes up or changes source New Job Double check on LinkedIn. If you can confirm it, then send the member an email message and thank them for their loyalty and business.  Perhaps offer them an opportunity to upgrade to your top tier credit card.
Send an email on how to save some of that new money by either setting up an auto transfer or paying a bit extra to their mortgage each month. This is a great time to help your member set-up good financial habits.
Member’s payroll stops They are moving on from your Credit Union You probably have one last chance to save this account. A personal email or note thanking them for their business and a survey could turn a loss into a save.
They have passed away Maybe check the obituaries. If they have passed away, send flowers to the funeral and a sympathy card to the member’s address but addressed to the family members.  Let them know you are there for them in the transition.
The date changes New Job See Above
An offer to change their loan due dates to align with their payroll cycle could be an opportunity to add that personal touch and delight a member.
Offer a skip a pay.
Direct Deposit on a holiday Member might get paid late Jump in early. Post that payroll a day early and send an email in advance letting them know you took care of it for them because you care!
Direct Deposit Reduced >20% Lost job or reduced hours Add the member to the debt consolidation marketing campaign and provide key tips for cutting back.

Watching for payroll changes is a great indication of some key life changes for your member.  Personalizing the response, offering assistance, and educating the member accordingly is a great way to make a connection and make someone a member for life!

Want to learn more about how your fellow Credit Union leaders are using data? We invite you to join our Credit Union 2.0 Strategist Group where over one thousand industry leaders comment on new news and trends while sharing and learning from one another.

This is the third part of a 9 part series. If you can’t wait for next week and want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

In case you missed it:

Click here for part one of the data analytics series.

Click here for part two of the data analytics series.

 

Credit Union Data Analytics: What can you Learn when your Member Moves?

In our first post in this series, we covered key insights and actions you can take to turn member fees into positive, educational, and empathetic experiences for your member. This week we go even further and dive into what insights your Credit Union can learn from its data on its moving members.

This is the second post of a 9 part series. If you want the full guide “Almost 99 Credit Union Small Data Hacks Guide” click here!

Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age covers in depth both big and small data for credit unions. There are six types of data that your Credit Union should be aware of:

  1. Digital Analytics – Desire
  2. Profitability – Fit
  3. Wallet Share – Depth
  4. Transaction – Triggers
  5. Design Data – Predictive
  6. Execution – IFTT (If this than that)

If you have ever moved, than you should know that it is a complete pain. When have you ever asked someone how a move went and gotten the response: awesome – loved every minute of it? Not only do you have to deal with finding a new place, packing piles of items you don’t remember buying, moving and unpacking, but you also then have to do the least fun part – change your address. We’ve all been there. The real question is: what can a credit union learn from this experience and how can you make it a “memory” for your member?

To start – make it a bit easier for your member. For a fee, a credit union can pay the USPS to give it the member’s new address if you know the old address.  WHAT? Yes, it’s true. When you get returned mail, you can pay a small fee, submit the name and old address to USPS and get the new address. Make sure you add this to your T’s & C’s and you could save some valuable time.

Now, onto the insights for a Credit Union:

What Happened? What Could it Mean? What Should you do?
Member fills out a change of address form They no longer live near a convenient location 1. Check their new zip code and send a follow-up email with close branch or ATM locations (could be a shared branch location) and educate the member on your digital channels.

2. Have guides to grocery stores, dry cleaners, and schools for their new zip code and send them a link to it in an email.

They just bought a house and didn’t tell you…bummer Look on Zillow and see if they bought a new house – if so – trigger either your 1st Mortgage switch kit or your home equity offer.
They are upsizing Look on Zillow at their old address and their new address.  What can you learn? Maybe it makes sense to upgrade them to your premium credit card? Are there any other offers that could be a good fit?
They are downsizing Are they also near retirement age? This could be a good time to reach out with education on retirement and other services.
They got a new job Often times, new digs and new gigs go hand in hand. If you look them up on LinkedIn, you can probably tell. If so, trigger your guide to switching your payroll.
Their family size might be changing It could be a time to add them to the marketing campaign on saving for the future or for a month by month guide to starting off their kids on the right financial track.
They could be divorcing This one is creepy and should be avoided – unless your credit union has a dating service…Member Date could be a new thing!
They could be going back to school Might be a good time to educate on student loan options and mid-career changes.
Someone else might have moved Do a quick look in your database to see if you had another account at that address – if so – send the main contact their a change of address questionnaire via email.

Watching for address changes and making it an easy process for your members is a great way to retain members. If you want to get super advanced, you could even setup a change of address service for the top 10 places in your community or send your member some new return address labels. Showing your members that you are paying attention and care is a great way to lower attrition and enhance your brand.

Want to learn more about how your fellow Credit Union leaders are using data? We invite you to join our Credit Union 2.0 Strategist Group where over one thousand industry leaders comment on new news and trends while sharing and learning from one another.

This is the second of a 9 part series. If you can’t wait for next week and want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!

Did you miss the first part of the series? We hope not, but just in case, click here.

Credit Union Data Analytics: Put the Community in your Fees!

If you work for a credit union and are looking for ideas on how to leverage key data to improve your member service or overall credit union member experience, then this post is for you.

This is the first post of an 8 part series. If you want the full guide “Almost 99 Credit Union Small Data Hacks Guide” click here!

Credit Union 2.0 – A Guide for Helping Credit Unions Compete in the Digital Age covers in depth both big and small data for credit unions. There are six types of data that your Credit Union should be aware of:

  1. Digital Analytics – Desire
  2. Profitability – Fit
  3. Wallet Share – Depth
  4. Transaction – Triggers
  5. Design Data – Predictive
  6. Execution – IFTT (if this than that)

A hallmark of building trust digitally is personalizing data in marketing and service within the entire member experience. If you’re wondering where to start, there is one particular area that I believe credit unions can immediately to enhance the member experience: fee data. Here are 16 great examples of how to do this:

Data Point Problem Action
Overdraft Protection = Not Setup Charging a member an overdraft fee when they have liquidity is just like poking the member in the eye – be proactive and avoid the problem! Run a monthly report to determine any members with over $X in their savings account who do not have Overdraft Protection setup. Turn on the feature and then send an email to the member letting them know! Click here for more details.
First Overdraft Let’s face facts, the first time a member goofs and overdrafts, a credit union is going to reverse the charge anyway. So, make this process automatic and a positive experience for the member. You will score major member experience points! Watch for the first overdraft on a new member account – if triggered – auto refund the overdraft fee and send the member an alert (via email) that the credit union already took care of it.

 

Post a video or explanation of how to avoid the fee on your credit union’s website and include a link in the email.

Minimum Balance Fee Consistently charging a minimum balance fee is profitable but not in a member’s best interest. On the 3rd time you charge the fee, trigger an email to the member on how to avoid the fee or make a recommendation to switch to another account type to avoid it.
Paper Statement Fee Charging a paper statement fee repeatedly is painful and reminds the member of a negative experience. Most likely the member is simply too busy to make the change. Send an email on the third fee which includes a one click opt in to electronic statements.
Birthday Fees Sending a generic birthday card to a member isn’t really personal. Send a birthday card, but go one step further and reverse that member’s last fee or give them a coupon for their next one.
Foreign ATM Fee Charging foreign ATM fees does one thing: reminds your member that maybe you aren’t as convenient as they would like When a member gets a foreign ATM fee, send them a link to your “Foreign ATM Fee Avoidance Guide” on your website that helps them see

A) Closer ATMs

B) An alternate way to get cash without paying the fee

Cashier’s Check or Money Order Fee Nobody likes paying to get their own money. Period. Make this a social cause. So, if the member has to pay a fee then let them know that a portion of the fee goes to support a local charity or cause that benefits their community.
Card Replacement Fee It’s painful when your card gets lost…empathy or a gift from the credit union can go a long way. Waive the fee the first time a member loses his/her card and trigger an outbound email on key ways to protect a card. Make the email fun and call it your Credit Union Member Ninja Strategies Guide.
Check Image Fee This is a classic block buster fee. It is 2017…your checks should be digital and free through online banking. If the member wants the check printed in a branch, send them a link to a video showing how to pull the image through online or mobile. As a follow-up a week later, send an email on how to use bill pay or your peer to peer payment tool. Most members will appreciate the relevant education.
Stop Payment Fee You’re already having a bad day. You’ve lost your checks, and now you have to a pay a fee that may or may not accomplish anything.  Send the member a video via email explaining what their risk is related to stolen checks and also explain how to monitor their account.
Withdrawal Limit Fee If this happens once or twice, then the member most likely has the wrong account type. If it happens three or more times, it is just abusive. Trigger an email on the 3rd fee with a one click offer to switch account types and/or details on how to avoid the fee.
Low Balance Fee Sometimes members need change – be proactive about helping them easily solve that. Trigger an email on the 3rd fee with a one click offer to switch account types and/or details on how to avoid the fee.
Inactive Membership Fee Let’s face it, the member most likely has one foot out the door already…if not both. Create a “Member Save” package – Find a funny personal way to get the member’s attention. Perhaps it’s a meme or a personal video message from the CEO – either way – find a way to reconnect as a human and maybe you can turn it around and keep the member.
Return Mail Fee The person moved and didn’t tell you. It turns out you can get their new address if you have their old address. Go ahead and do this automatically and send an email alert to the member!   Check out how here
Wire Transfer Fee Sometimes they just need to send a wire Make it a little better by donating a portion to their favorite local cause (give them choice).
Late Payment Fee Nobody feels good about being late, and this fee can easily upset a member even if they were late. When it first happens, refund the fee and send the member an educational video/article on how to avoid the fee in the future. The second time it happens,  offer the member a skip a pay in advance for the fee. If it happens a third time, schedule a call to help understand the issue or provide an educational overview of how it might impact their credit score.

Many credit unions use fees to change behavior, and there is nothing wrong with that! While fees are an important tool, they are also a prime opportunity to embed compassion, empathy and education and turn a potentially negative member experience into a positive one.

Want to learn more about how your fellow Credit Union leaders are using data? We invite you to join our Credit Union 2.0 Strategist Group where over one thousand industry leaders comment on new news and trends while sharing and learning from one another.

This is the first of a 9 part series. If you can’t wait for next week and want the full “Almost 99 Credit Union Small Data Hacks Guide” click here!