Executive Summary

When today’s consumers reach out to their financial institution, they expect both transactional efficiency and the type of high-value, high-trust interactions that only humans can provide.1 They may default to digital for their routine transactions, but they still expect human, personalized guidance on their schedule and preferred channel. As a result, banks and credit unions are discovering that the right technological tools — scheduling, routing, and workforce management — are essential to meeting these dual expectations, but only when they’re designed to strengthen human relationships rather than sidestep them.2

Coconut Software is redefining how financial institutions run their branches, both physical and virtual, with intelligent branch solutions that unify customer engagement, branch operations, and workforce planning in one platform. By combining appointment scheduling, lobby management, video banking, and branch workforce management in a single system, Coconut helps banks and credit unions capture customer needs in advance, intelligently route them to the right experts, forecast demand, optimize staff allocation, and deliver seamless experiences across both digital and in-person channels.

Coconut Software commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Coconut.3 The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of Coconut Software on their organizations.

389%

Return on investment (ROI)

 

$8.8M

Net present value (NPV)

 

To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed eight decision-makers from five organizations with experience using Coconut Software. For the purposes of this study, Forrester aggregated the experiences of the interviewees and combined the results into a single composite organization, which is a large North American regional bank or credit union.

Interviewees said that prior to using Coconut, their organizations lacked the data visibility needed to anticipate demand and consistently manage appointments as reliance on walkins and individual advisor calendars resulted in fragmented, incomplete insight into customer needs. This environment created inefficiencies for both staff and customers; advisors were routinely unprepared for meetings; the administrative effort was high; and customers frequently endured long waits, mismatched advisors, repeat visits, and abandoned applications. These challenges were exacerbated by legacy technology, including disconnected calendars, laborintensive scheduling workflows, and video meeting tools that required customers to install software, adding friction and reducing engagement.

After the investment in Coconut, the interviewees said their advisors and their customers appreciated the efficiency and productivity of the meeting scheduling process. An easy scheduling interface saved both parties time and frustration, and the option of video meetings added convenience, which drove significant growth in appointment volume.

Key Findings

Quantified benefits. Three-year, risk-adjusted present value (PV) quantified benefits for the composite organization include:

  • Additional mortgage profit totaling $6.5 million. The composite organization sees 20% growth in overall appointment volume after moving to Coconut. This allows it to sell 563 additional mortgages over three years, producing an additional $6.5 million in profit.

  • More than 1,500 additional deposit accounts funded, for a total of $12 million in new deposits over three years. Coconut also enables growth in new deposit accounts, which support the funding of more consumer loans and mortgages and are often an entry point to long-term customer relationships. Over three years, the composite organization sees an additional $183,000 in present value from these accounts, which also lay the foundation for future sales opportunities.

  • Additional consumer personal loan profit totaling $684,000. The same 20% increase in appointment volume drives strong incremental growth in the personal consumer loan business line. This allows the composite organization to sell more than 1,500 additional consumer personal loans over three years, which produces an additional $684,000 in present value.

  • Staff efficiency improvements totaling $3.2 million. Coconut’s simple scheduling interface saves advisors 5 minutes for every appointment scheduled. When it comes to meetings for new-product sales, Coconut’s self-service scheduling experience captures key customer data before the first meeting, saving 30 minutes of intake time for every new-product sales process. Together, these efficiencies save advisors a total of 191,121 hours over three years, resulting in $3.2 million in total savings.

  • Legacy technology savings. The composite organization retires separate prior solutions for meeting scheduling and video meetings. These licensing costs, coupled with the support costs of these solutions, produce $452,000 in savings over three years.

Unquantified benefits. Benefits that provide value for the composite organization but are not quantified for this study include:

  • Improved CX. Coconut improved the customer experience by reducing wait times, increasing transparency, enabling better advisor matching, and offering flexible inperson or video appointments that gave customers more control over how and when they engaged with their financial institution.

  • Improved EX. Coconut reduced employee stress and improved confidence — particularly for newer staff — by providing visibility into lobby demand and advance context on customer needs, enabling employees to more effectively prepare for interactions.

  • More targeted training. Coconut’s appointment and service data enabled managers to identify performance gaps and deliver targeted coaching to improve consistency, handle times, and service quality.

  • Reduced no-shows, cancellations, and lost opportunities. Coconut’s streamlined scheduling experience, including automated reminders and easy rescheduling, reduced missed appointments and abandoned scheduling attempts, improving both staff productivity and conversion rates.

Costs. Three-year, risk-adjusted PV costs for the composite organization include:

  • Licensing costs totaling $711,000. Licensing costs are based on the number of users and the additional marketing features the composite purchases, which support custom branding and allow customers to book appointments directly through search engines.

  • Implementation costs totaling $592,000. Internal employee time dedicated to the effort ensures a successful six-month deployment of Coconut for the composite. All advisors also receive training on the Coconut platform, and the organization purchases tablets and equipment for in-branch kiosks.

  • Ongoing management costs totaling $948,000. At the composite organization, two FTEs support Coconut’s integration with other enterprise software, ensure that the platform is running smoothly, and manage the vendor relationship. The composite also provides training for new advisors who join the organization and maintains branch kiosk equipment as needed.

The financial analysis that is based on the interviews found that a composite organization experiences benefits of $11.0 million over three years versus costs of $2.3 million, adding up to a net present value (NPV) of $8.8 million and an ROI of 389%.

“In our consumer lending, we’ve seen strong growth. We’re up about 14% from the prior year. For mortgages, we’ve achieved top market share in the specific markets we targeted. Not all of that can be attributed to a tool, but it does speak to a good first experience that drives engagement.”

Branch operations manager, California credit union

Key Statistics

389%

Return on investment (ROI) 

$11.0M

Benefits PV 

$8.8M

Net present value (NPV) 

<6 months

Payback 

Benefits (Three-Year)

[CHART DIV CONTAINER]
Incremental growth in mortgages Incremental growth in deposit accounts Incremental growth in consumer personal loans Increased staff productivity Technology savings

The Coconut Software Customer Journey

Drivers leading to the investment

Interviews

Role(s) Industry Region AUM Branches
Branch operations manager Credit union California $9.1 billion 22
VP of member service Credit union Western US $22 billion 107
Manager of service delivery support
Assistant manager of service delivery support
Assistant manager of real estate originations
Manager of wealth systems and analytics
Credit union California $32 billion 71
Product owner Bank Eastern US $213 billion 970
SVP and head of data Investment firm Global $7 trillion 570


Key Challenges

Banks and credit unions have three levers to grow revenue: boosting customer acquisition, increasing customer retention, or offering new products. The first two — two-thirds of the inputs for revenue growth — depend on a positive customer experience (CX). Among the three dimensions of CX quality — effectiveness, ease, and emotion — the one with the biggest impact on customer loyalty is emotion, which is not an area where banks have typically excelled.4

The temporary need to remove human contact from many day-to-day transactions during the COVID-19 pandemic — which introduced many financial institutions to the potential labor cost savings of going digital — ushered in a new era of digital self-service for banks and credit unions. However, Forrester’s consumer sentiment research from that time period shows that those moves coincided with a drop in both the average CX quality score for US multichannel banks and in customer retention.5 Since then, surveys have consistently shown that customers value in-person and hybrid banking experiences far more than fully digital ones — emphasizing the fact that the financial industry is more about relationships than individual transactions.6

In-person services also continue to be popular, with a recent survey showing that 37% of online banking customers in the US and 34% of online banking customers in Canada visited a branch at least once in the past month, even though these customers also have access to digital self-service tools.7

This disconnect between customer expectations and banking processes was evident in the challenges cited by the financial industry leaders interviewed for this study. Interviewees noted that, prior to investing in Coconut Software, in-person traffic remained a significant source of customer interactions, but their own legacy processes — especially a reliance on walk-ins rather than appointments — meant their advisors were often unprepared to respond efficiently to customer needs. Not only did this create a poor CX for customers, but the mismatch also meant missed revenue opportunities for the banks and credit unions, with too much time spent on low-value transactions and an inability to consistently refer customers to higher-value products like business accounts or wealth management services.

Interviewees noted these common challenges:

  • Lack of data visibility to drive optimization. Critical business decisions like staffing forecasts were based on historical information, which was often too general to provide helpful insights. While a manager might know that their branch had 10 walk-ins an hour during this week last year, they might not know the breakdown among different products or services, and if the branch didn’t take appointments, they had no way of anticipating future demand. Since advisors were using their individual calendars to take and track meetings, any data on appointments was ad hoc, inconsistent, and difficult to access at an enterprise level. The manager of wealth systems and analytics for the larger California credit union said, “Tracking no-shows and completed appointments was very much based on what the individual team member would track on their own calendar.”

  • Inefficiency for banking staff. Advisors selling complex products, from home mortgages to business loans, followed the same processes as transaction-focused tellers: responding to the needs of the customers who showed up, with little to no advance notice about each individual customer’s needs. This was often true even if the organization already had an enterprisewide tool to book and track appointments since the meeting booking process didn’t gather enough data to adequately prepare either party. While a teller could easily adapt from processing withdrawals to accepting deposits, advisors were less able to effectively pivot from selling home mortgages to providing wealth management advice. As a result, they spent a significant amount of time at the start of each meeting orienting themselves to each customer’s needs. Customers weren’t adequately prepared either, often forgetting important documents at home. Several follow-up meetings were needed to set up the new account or complete the loan application, and customers would frequently drop out along the way or fail to show up for appointments, making for a leaky sales funnel.

  • Inefficiency for banking customers. Meanwhile, customers who needed in-branch assistance were at the mercy of the queue and the staff who happened to be working that day at that location. Long wait times were common. When a customer reached the front of the line, they might learn that the advisor most qualified to help them wasn’t working that day or was at another location, or that they hadn’t brought all the necessary paperwork to complete their request, meaning they’d have to come back another time. The experience didn’t give customers the impression that their time was important — a key aspect of feeling valued. Many customers would simply walk out, potentially taking their business to a competitor. 

“For branches, prior to Coconut, if a member called in and wanted to make an appointment, our contact center would send us an internal dispatch, and the branch would then call the member back to schedule the appointment. You can appreciate how crazy that is.”

Manager of service delivery support, California credit union

On a more granular level, both advisors and customers struggled with challenges related to older technology and/or outdated business processes:

  • Use of individual calendars led to frequent conflicts. Interviewees mentioned the many problems that stemmed from using individual calendars to book customer meetings, including double bookings, lack of companywide visibility, and the need for manual adjustments to accommodate travel time, location changes, or time and date changes. The assistant manager of real estate originations for the larger California credit union offered this example: “[The use of individual calendars] got messy because one consultant might cover three locations, and sometimes the tellers were booking appointments on a Friday for one city when the consultant was in a different location … or two people would put something on a calendar at the same time in two totally different locations.”

  • Manual scheduling processes required heavy admin support. Fixing these conflicts required hours of manual administrative labor. The SVP and head of data for an investment firm said: “Before, we had a custom, home-cobbled API through [our enterprise messaging and calendaring system]. At every branch office, we had a person behind it who would load each advisor’s weekly schedule. A lot of our advisors travel to appointments, so they had to manually build in travel time. It had a very high human cost.” For the larger California credit union, sending reminders to customers carried a similar burden. The manager of wealth systems and analytics shared, “We have teams of more than 20 people, and an admin would have to go in and actually make a list of all of those appointments and then put it into the system to send out reminders.”

  • Customers needed to install technology to attend video meetings. The technical burden was high for customers as well. The common videoconferencing tool that companies used was not browser-based, so customers had to download an app onto their system to participate. The SVP and head of data for the investment firm said: “We had an older tech stack, and each of our clients had to install a plugin on their computer to have a video meeting. Now, with Coconut, everything happens within the browser, so there’s no setup for the client. We saw a big lift from before to after.”

Composite Organization

Based on the interviews, Forrester constructed a TEI framework, a composite company, and an ROI analysis that illustrates the areas financially affected. The composite organization is representative of the interviewees’ organizations, and it is used to present the aggregate financial analysis in the next section. The composite organization has the following characteristics:

  • Description of composite. The large regional bank or credit union has branches throughout several US states or one or two Canadian provinces. For the purposes of this financial analysis, the composite organization could be either a bank or a credit union and could be based in either the US or Canada.
    The financial institution takes 187,500 appointments per year before moving to Coconut — which is the baseline volume used to assess the incremental improvements enabled by Coconut. This appointment volume grows 5% year over year from Years 1 through 3.
    Of those total appointments, 15% are related to new loan applications, 10% are related to new mortgage applications, and 15% are related to the opening of new deposit accounts. The remaining 60% of appointments are related to other lines of business or servicing of existing products.

  • Deployment characteristics. The composite organization begins using the solution in Year 1 following a six-month implementation period. The initial rollout completes implementation across all branches by Month 6.

 KEY ASSUMPTIONS

  • Large regional bank or credit union

  • 187,500 appointments per year before Coconut

  • 5% year-over-year appointment volume growth

  • 2 to 3 appointment-taking advisors per branch

Analysis Of Benefits

Quantified benefit data as applied to the composite

Total Benefits

Ref. Benefit Year 1 Year 2 Year 3 Total Present Value
Atr Incremental growth in mortgages $1,316,000 $2,695,000 $4,144,000 $8,155,000 $6,537,085
Btr Incremental growth in deposit accounts $36,710 $75,264 $115,738 $227,712 $182,530
Ctr Incremental growth in consumer personal loans $137,664 $282,240 $434,016 $853,920 $684,488
Dtr Increased staff productivity $1,212,500 $1,273,140 $1,336,780 $3,822,420 $3,158,797
Etr Technology savings $181,600 $181,600 $181,600 $544,800 $451,612
  Total benefits (risk-adjusted) $2,884,474 $4,507,244 $6,212,134 $13,603,852 $11,014,512

Incremental Growth In Mortgages

Evidence and data. According to interviewees, moving to Coconut correlated with an increase in both appointment volume and closing rate when it came to new home mortgage applications.

  • The two years leading up to customer interviews for this study were a time of strong real estate activity, which all interviewees said had contributed to their growth. They also said that the ability to easily integrate a direct appointment-booking link from Coconut into their digital and email marketing campaigns — something most of them couldn’t do in their prior environment — drove increased market share in a competitive market. The product owner at the bank recalled: “When we started offering appointments with our mortgage-servicing team to be booked on our website, we saw a really good uptick in appointment volume. We also do a lot of email campaigns, and now that we have appointment scheduling, most of our calls to action are ‘Click this link to schedule an appointment.’ We’ve seen a more successful pull-through rate with the link right in the email versus ‘Click here to fill out a form.’”

  • Interviewees also noted that the investment of time and money involved in a mortgage application aligns much more naturally with an appointment as opposed to a walk-in. By gathering important customer details for the advisor, preparing the customer to bring required documentation, and providing a secure link to continue an in-progress application, Coconut’s appointment-setting process made the process more efficient. The branch operations manager for the smaller California credit union said: “We’ve tailored the communications around what’s expected, and we can send customers the link to go back to their application at home. We leverage Coconut’s technology to make things easier.” In this way, the Coconut experience enabled efficiency and application completion, which translated to a higher closing rate.

Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:

  • Before moving to Coconut, the composite reports 187,500 total appointments per year across all branches, and 10% of these appointments are related to new mortgage applications.

  • After moving to Coconut, the composite experiences a 20% increase in the number of appointments related to new mortgages.

  • The closing rate on these additional new-loan appointments is 5%.

  • Using the median value of all new home mortgages originated across the US and Canada in the third quarter of 2025,8 the net interest margin on a mortgage, and a risk adjustment to account for variability, the present value of the total cumulative profit earned on those new mortgages over three years is approximately $6.5 million.

  • The net interest on a mortgage is estimated at 2.5%.9

Risks. The extent of this benefit will vary based on:

  • The number of branches and appointment volume for the organization.

  • Current economic factors (such as interest rates and the strength of the real estate market), which could drive demand for home mortgages up or down.

  • The closing rate on home mortgage appointments.

Results. To account for these risks, Forrester adjusted this benefit downward by 20%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $6.5 million.

592

Additional mortgages sold over three years

“For things like mortgages, appointments set the right tone right out of the gate and help everyone to be better prepared.”

Branch operations manager, California credit union

Incremental Growth In Mortgages

Ref. Metric Source Year 1 Year 2 Year 3
A1 Appointments per year (baseline) Composite 187,500 196,875 206,719
A2 Portion of appointments related to mortgages Composite 10% 10% 10%
A3 Increase in mortgage appointments with Coconut Interviews 20% 20% 20%
A4 Additional mortgage appointments per year A1*A2*A3 3,750 3,938 4,134
A5 Closing rate on additional appointments Interviews 5% 5% 5%
A6 Additional mortgages sold due to Coconut Software A4*A5 188 197 207
A7 Cumulative additional mortgages sold due to Coconut Software Year 1: A6
Year 2: A6+A6Y1
Year 3: A6+A6Y1+A6Y2
188 385 592
A8 Median new mortgage size TransUnion $350,000 $350,000 $350,000
A9 Net interest margin on a mortgage FDIC 2.5% 2.5% 2.5%
At Incremental growth in mortgages A7*A8*A9 $1,645,000 $3,368,750 $5,180,000
  Risk adjustment ↓20%      
Atr Incremental growth in mortgages (risk-adjusted)   $1,316,000 $2,695,000 $4,144,000
Three-year total: $8,155,000 Three-year present value: $6,537,085

Incremental Growth In Deposit Accounts

Evidence and data. Interviewees said that appointments also supported growth in new deposit accounts, which provide financial benefits both in the short and long term through relationship-building and cross-sell opportunities.

The larger California credit union acts as the third-party retirement plan administrator for several large regional employers. As its manager of wealth operations and analytics explained, Coconut’s appointment-setting and video-banking capabilities supported its expansion of this service, which plays a similar product strategy role as the establishment of new checking and savings accounts for laying a foundation for future growth. The manager said: “[Our service as a retirement plan administrator] is often the lead to get us into areas of the state where we don’t have enough members to support a branch, but it starts brand recognition and trust building. It is very much about that first step.”

They continued: “We added 23 employers last year, and we’ve taken on 65 this year, so we’re now serving just under 450 employers throughout the state. That’s a 30% increase this year. And we wouldn’t have been able to do that without a system that could give us the ability to take those appointments.”

The interviewee also specifically mentioned Coconut’s video banking as a critical enabler of this service expansion because it made their credit union a viable option even in remote areas that weren’t close to a physical branch. In this respect, the video banking service helped to seed future customer growth that could one day support establishment of a new branch.

Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:

  • Before moving to Coconut, the composite reports 187,500 total appointments per year across all branches, and 15% of these appointments are related to new deposit accounts.

  • After moving to Coconut, the composite experiences a 20% increase from the baseline number of appointments related to new deposit accounts.

  • The closing rate for these additional appointments is 8.5%.

  • Using the median balance of all household deposit accounts across the US and Canada, the average return on assets, and a risk adjustment to account for variability, the present value of the total cumulative profit earned on those new deposits over three years is approximately $183,000.10

  • According to the US Federal Deposit Insurance Corp. (FDIC), the average return on assets is 1.2%.11

Risks. The extent of this benefit will vary based on:

  • The number of branches and appointment volume for the organization.

  • Current economic factors, such as interest rates and inflation, which could drive consumer saving rates up or down.

  • Personal mobility and the number of new residents and families moving into a local area.

  • The closing rate on deposit account appointments.

Results. To account for these risks, Forrester adjusted this benefit downward by 20%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $183,000.

1,507

Additional deposit accounts funded over three years

$12 million

Total deposit growth over three years

“We’re taking more appointments because the system is better organized, and we’ve seen a lot of growth.”

Manager of wealth operations and analytics, California credit union

Incremental Growth In Deposit Accounts

Ref. Metric Source Year 1 Year 2 Year 3
B1 Appointments per year (baseline) A1 187,500 196,875 206,719
B2 Portion of appointments related to new deposit accounts Composite 15% 15% 15%
B3 Increase in new deposit account appointments with Coconut Interviews 20% 20% 20%
B4 Additional new deposit account appointments per year B1*B2*B3 5,625 5,906 6,202
B5 Closing rate on additional appointments Interviews 8.5% 8.5% 8.5%
B6 Additional deposit accounts attributable to Coconut Software B4*B5 478 502 527
B7 Cumulative new accounts attributable to Coconut Software Year 1: B6
Year 2: B6+B6Y1
Year 3: B6+B6Y1+B6Y2
478 980 1,507
B8 Median deposit account size Federal Reserve Board $8,000 $8,000 $8,000
B9 Total deposit growth B6*B8 $3,824,000 $4,016,000 $4,216,000
B10 Average return on assets FDIC 1.20% 1.20% 1.20%
Bt Incremental growth in deposit accounts B7*B8*B10 $45,888 $94,080 $144,672
  Risk adjustment ↓20%      
Btr Incremental growth in deposit accounts (risk-adjusted)   $36,710 $75,264 $115,738
Three-year total: $227,712 Three-year present value: $182,530

Incremental Growth In Consumer Personal Loans

Evidence and data. Just as moving to Coconut coincided with consumer growth in home mortgages, the ease of appointment scheduling also drove growth for consumer personal lending.

  • One of the interviewees’ organizations, the western-US-based credit union, came to Coconut from a prior environment in which it did not offer appointments at all. The credit union saw significant reductions in customer wait time and processing time, which translated into vastly improved loan sales metrics. The VP of member service for the western-US credit union said: “We’ve seen improvement in our loan closing rates. Before, a member would come in, start an application, and then leave, and there was a lot of back and forth. The appointment scheduling has made a big difference for us. Not only is the time scheduled and allotted for what we need to do but we’ve created better expectations in advance. If a customer comes in at 4:00 for a loan and they have all their information, they can leave with a check at 5:00,” said. This interviewee explained that, prior to Coconut, a customer would often have to wait an hour or two in the lobby to simply hand paperwork to a loan officer.

  • The smaller California credit union, which did have the ability to take appointments under its prior solution, saw appointment volume growth of 14% with Coconut. This same interviewee said that they had also seen an improvement in the closing rate, as well as initial volume, from Coconut-driven appointments. The branch operations manager said: “For the 80% of loan accounts coming out of branch interactions (as opposed to digital self-service), I would say our closing rate has probably improved from 5% to 10%. And these would be coming directly from an appointment, not from other channels.”

  • Finally, all interviewees talked about market-driven demand swings. For loans and mortgages, lower interest rates and/or a more active housing market drives increased interest. For wealth management, stock market swings can create notable short-term volume growth in appointment requests. In all cases, Coconut was able to handle the ebbs and flows. As the SVP and head of data at the investment firm explained: “When there are big stock market swings and clients react, there is a surge in demand for appointments. It evens out eventually because the customer who requests an ad hoc meeting won’t have their quarterly check-in three weeks later, but it does require a system that can support surges in demand. Coconut can handle big swings that can run 200% of normal volume.”

Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:

  • Before moving to Coconut, the composite reports 187,500 total appointments per year across all branches, and 15% of these appointments are related to new loan applications.

  • The model factors in a 5% year-over-year growth in baseline appointment volume.

  • After moving to Coconut, the composite experiences a 20% increase over this baseline in the number of appointments related to new loans.

  • The closing rate on these additional new-loan appointments is 8.5%.

  • Using the median value of all new consumer personal loans originated across the US and Canada in recent periods (2023 to 2025), the net interest margin on a loan, and a risk adjustment to account for variability, the present value of the total cumulative profit earned on those new loans over three years is approximately $684,000.12

Risks. The extent of this benefit will vary based on:

  • The number of branches and appointment volume for the organization.

  • Current economic factors, such as interest rates and inflation, which could drive demand for consumer loans — and year-over-year change in appointment volume — up or down.

  • The closing rate on consumer lending appointments.

Results. To account for these risks, Forrester adjusted this benefit downward by 20%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $684,000.

20%

Increase in appointment volume due to Coconut

1,507

Additional consumer personal loans sold over three years

“The culture is changing with respect to appointments versus walk-ins. The last few years of having Coconut has started to change the mindset of our customers to want to make an appointment instead of just walking in. Now they’re more accustomed to it, and we’re seeing appointment growth over time."

Product owner, bank

Incremental Growth In Consumer Personal Loans

Ref. Metric Source Year 1 Year 2 Year 3
C1 Appointments per year (baseline) A1 187,500 196,875 206,719
C2 Portion of appointments related to consumer personal loans Composite 15% 15% 15%
C3 Increase in consumer loan appointments with Coconut Interviews 20% 20% 20%
C4 Additional consumer loan appointments per year C1*C2*C3 5,625 5,906 6,202
C5 Closing rate on additional appointments Interviews 8.5% 8.5% 8.5%
C6 Additional consumer personal loans sold due to Coconut Software C4*C5 478 502 527
C7 Cumulative additional consumer loans sold due to Coconut Software Year 1: C6
Year 2: C6+C6Y1
Year 3: C6+C6Y1+C6Y2
478 980 1,507
C8 Median size of a new consumer personal loan TransUnion $6,000 $6,000 $6,000
C9 Net interest margin on a consumer personal loan FDIC 6% 6% 6%
Ct Incremental growth in consumer personal loans C7*C8*C9 $172,080 $352,800 $542,520
  Risk adjustment ↓20%      
Ctr Incremental growth in consumer personal loans (risk-adjusted)   $137,664 $282,240 $434,016
Three-year total: $853,920 Three-year present value: $684,488

Increased Staff Productivity

Evidence and data. By supporting customer-self-service scheduling and rescheduling, automatic reminders, and the sharing of key information in advance of the first meeting, Coconut improved efficiency and productivity.

  • Coconut’s appointment scheduling model — which automatically pulls available times from advisors’ personal calendars and allows customers to self-serve at their convenience — was a dramatic improvement over manual processes, which usually meant multiple rounds of emails. The product owner for the bank shared: “Before, if someone wanted to schedule an appointment, we’d offer them three different times, and if those didn’t work, then we’d go back and forth over email. With Coconut, the process has definitely gotten more efficient. Now, it’s just ‘Use this link to book an appointment,’ and that takes seconds, versus going back and forth for days.”

  • In terms of meeting preparedness, Coconut’s scheduling flow, which captured key information from the customer and shared key information on required documentation, helped everyone arrive better prepared for their first appointment. The manager of wealth operations and analytics for the larger California credit union said: “The advisor can see the notes from the screening questions that are automatically asked when a customer makes an appointment. So instead of putting the onus on a teller or a call center employee to ask those fact-finding questions, they get that information right off the questionnaire. That’s been an improvement and helped with consistency.” All interviewees agreed that better preparation saved significant meeting time, probably eliminating the need for a fact-finding first meeting in the loan initiation process, which typically takes two to three meetings to complete an application.

Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:

  • Compared with their baseline number of appointments per year before moving to Coconut, the composite organization takes 90,000 more appointments related to new mortgages, new deposit accounts, and new consumer personal loans in Year 1 after moving to Coconut.

  • For each of these new-product sales efforts — which may take several appointments to move from initial conversation to application approval or account funding — the advisor and customer save 30 minutes by skipping the introductory fact-finding meeting. Because Coconut’s meeting-scheduling process gathers information from the customer (such as desired loan size, annual income, etc.) and prepares the customer with a list of documentation required for their application, both parties save significant time upfront.

  • The advisor also saves an average of 5 minutes per appointment because Coconut’s scheduling UX makes it easier to use than the prior solution. This time savings applies to all appointments over the course of the year, not just those resulting from incremental volume growth attributable to Coconut. (The 5-minute scheduling time savings applies equally to meetings related to new product applications as it does to meetings related to existing account servicing.)

  • Assuming that advisors will recapture 50% of that time savings and apply it to other productive work and applying a risk adjustment to account for variability, the present value of the total cumulative value of the time saved over three years is approximately $3.2 million.

  • A 50% productivity recapture rate is applied to the time savings since not all saved time is used for value-adding tasks.

Risks. The extent of this benefit will vary based on:

  • The number of branches and appointment volume for the organization.

  • The sophistication of the appointment-scheduling tool being replaced. Moving to Coconut from a simpler tool that does not capture as much customer information during intake and meeting scheduling may generate even more time savings per new product sale (more than 30 minutes); in contrast, moving to Coconut from a solution that captures a similar amount of demographic and product-interest data upfront may result in slightly less time savings (less than 30 minutes). 

  • The UX of the appointment-scheduling tool being replaced. Similarly, tools with easy-to-use interfaces, similar to Coconut, may not produce as much meeting-scheduling time savings per appointment (less than 5 minutes).

  • The distribution of total appointments among initial meetings for new product sales, follow-up meetings for new product sales, and existing-product servicing appointments. The fewer meetings an organization needs to close a sale or maintain customer satisfaction, the more efficient its processes are to begin with and the lower the time savings it may realize by moving to Coconut.

Results. To account for these risks, Forrester adjusted this benefit downward by 20%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $3.2 million.

191,121

Hours saved in meeting and scheduling time

“What loan officers have sped up most is the paperwork from being upfront with customers about pay stubs, titles, or other information that’s needed to drive internal compliance.”

VP of member service, western-US credit union

Increased Staff Productivity

Ref. Metric Source Year 1 Year 2 Year 3
D1 Appointments related to new mortgages (A1*A2)*(1+A3) 22,500 23,625 24,806
D2 Appointments related to new deposit accounts (B1*B2)*(1+B3) 33,750 35,438 37,209
D3 Appointments related to new consumer loans (C1*C2)*(1+C3) 33,750 35,438 37,209
D4 Total new-account appointments D1+D2+D3 90,000 94,501 99,224
D5 Average meeting time savings per new product sale due to better preparation (minutes) Interviews 30 30 30
D6 Subtotal: Meeting time saved per year for new customers (minutes) D4*D5 2,700,000 2,835,030 2,976,720
D7 Total appointments per year A1 187,500 196,875 206,719
D8 Average reduction in scheduling time per meeting (minutes) Interviews 5 5 5
D9 Subtotal: Scheduling time saved per year (minutes) D7*D8 937,500 984,375 1,033,594
D10 Subtotal: Time saved per year (hours) (D6+D9)/60 60,625 63,657 66,839
D11 Productivity recapture TEI methodology 50% 50% 50%
D12 Fully burdened hourly rate for an advisor Composite $50 $50 $50
Dt Increased staff productivity D10*D11*D12 $1,515,625 $1,591,425 $1,670,975
  Risk adjustment ↓20%      
Dtr Increased staff productivity (risk-adjusted)   $1,212,500 $1,273,140 $1,336,780
Three-year total: $3,822,420 Three-year present value: $3,158,797

Technology Savings

Evidence and data. Prior to moving to Coconut, interviewees had a variety of technology solutions in place for appointment scheduling, lobby management, and video meetings.

  • Two of the credit unions and the bank used a cloud-based appointment scheduling and customer engagement platform for online appointment booking, calendar management, and automated reminders.

  • The larger California credit union handled appointment scheduling on an ad hoc basis through individual advisors’ personal calendars. This organization also used two separate, standalone solutions for lobby management and text-message appointment reminders.

  • The investment firm had a custom API integrated with individual advisors’ personal calendars for appointment availability and scheduling, and they used an enterprise virtual-meeting and web-conferencing solution to host video meetings.

Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:

  • Prior to Coconut, the composite organization uses a cloud-based appointment scheduling and customer engagement platform for meeting scheduling, as well as an enterprise virtual-meeting solution. Both of these tools are discontinued after the move to Coconut.

  • The appointment-scheduling solution requires 0.5 FTE of internal management, while the virtual-meeting solution does not require significant labor support.

Risks. The extent of this benefit will vary based on:

  • The solution(s) an organization uses prior to Coconut.

  • The applicable pricing and bundling.

  • The complexity of an organization’s tech stack.

  • The degree of internal labor or external professional services required to maintain these solutions.

Results. To account for these risks, Forrester adjusted this benefit downward by 20%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $452,000.

Technology Savings

Ref. Metric Source Year 1 Year 2 Year 3
E1 Licensing costs for retired scheduling solution Composite $75,000 $75,000 $75,000
E2 Internal management staff (FTEs) Composite 0.5 0.5 0.5
E3 Fully burdened annual salary for a member of the internal management staff Composite $160,000 $160,000 $160,000
E4 Licensing costs for retired video meeting solution Composite $72,000 $72,000 $72,000
Et Technology savings E1+(E2*E3)+E4 $227,000 $227,000 $227,000
  Risk adjustment ↓20%      
Etr Technology savings (risk-adjusted)   $181,600 $181,600 $181,600
Three-year total: $544,800 Three-year present value: $451,612

Unquantified Benefits

Interviewees mentioned the following additional benefits that their organizations experienced but could not quantify:

  • Improved CX. Better lobby management, the ability to schedule appointments, and the ability to choose an in-person or video meeting provided customers with more agency and control over their experiences with their financial institution, which translated into a better overall experience. After moving to Coconut, interviewees said they offered customer improvements such as:

    • Reduced wait times. The VP of member service for the western-US credit union said: “In our busier branches, members could wait 30 to 40 minutes for a teller. The loan side could be even longer. There were times when members were waiting for hours in the lobby to be helped. With Coconut, we’ve reduced the wait times a ton. The appointments have been a game-changer.”
    • More transparency. The product owner for the bank said, “I think it’s a great customer service feature when you can say, ‘No one’s available right now, but I can put you in the queue,’ and your wait time’s going to be 5 minutes.”
    • More productive meetings. The ability to collect demographic and product-interest information in advance also helped companies match customers with the most knowledgeable and most appropriate advisor, which made meetings more efficient and enhanced the overall experience. For wealth management especially, it can be helpful to match customers with advisors in their demographic. The manager of wealth systems and analytics for the larger California credit union noted: “We look at the service to the member. We want to make sure that we’re getting the member to the right person the first time.”
    • Option of video meetings. Interviewees said Coconut’s video banking system helped them tailor services to customers’ schedules and demographic preferences. The product owner for the bank said: “Being able to offer a video meeting solution was huge. It’s so helpful to customers who work and don’t have time to come to a branch.” The SVP and head of data for the investment firm added that video meetings are very popular with younger customers, while older clients prefer to meet in person. The fact that Coconut supported both options allowed them to tailor their offerings and be more inviting to younger clients, who represent a key growth opportunity. They said: “Because of the preferences of [younger] populations, our video appointment volume increased significantly. We have a 93% remote rate with younger people. But for people over 53, 90% of them come into the branch.”

The western-US credit union, which couldn’t take appointments in its prior environment, received frequent complaints about long lobby wait times in its customer surveys. After moving to Coconut, the credit union saw a 5-point improvement in its Net Promoter ScoreSM.13 The credit union’s VP of member service shared: “We send out a member survey with five or six questions and an open comment section. Before Coconut, the theme was long lines and inadequate staffing. Today, those are not even top five categories anymore. The adoption of Coconut has certainly improved our member experience.”

  • Improved EX. It can be stressful for lobby-based employees to see a long line of impatient customers or to be confronted with an unfamiliar situation without preparation. The Coconut system helped reduce both sources of employee anxiety. The VP of member service for the western-US credit union said: “It’s stressful when you have lines out the door and it’s like that all day long. If you’re a new employee, you have no idea who’s in the lobby and what they need. If it’s something you’re comfortable with, you’re good. But if the member wants something you haven’t done yet, now you have to get a manager to help. The appointments have helped our newer team members prepare and make sure they’re confident having that conversation.”

  • More targeted training. Interviewees said that Coconut data was helping them coach employees for improved service delivery. The assistant manager of service delivery support for the larger California credit union explained: “Before Coconut, we were tracking walk-in wait times, but it was very broad. Coconut is giving us the ability to have better handle times and better estimated wait times. One of the things that our management team is analyzing now is: How long does it take us to do a transaction? Let’s say the allocated time for a new membership is 60 minutes, and we have a team member who takes an hour and a half. Coconut helps us identify that and coach that team member.” 

  • Reduced no-shows, cancellations, and lost opportunities. Coconut’s streamlined scheduling system, which includes automated appointment reminders and links to reschedule if needed, increased appointment efficiency from both a productivity perspective and a revenue standpoint. The product owner for the bank said they had tracked a decrease in customer no-shows, which are a drag on overall employee efficiency. The investment firm had a similar experience, though instead of no-shows, they tracked a “bailout” metric, or the percentage of customers who began the appointment-scheduling process but left before completing it. According to the SVP and head of data: “Before, 19% of people would bail out during the scheduling process. With Coconut, we reduced that to essentially zero,” which helped plug a leaky sales funnel.

19%

Reduction in scheduling-process abandonment

“The biggest benefit is respecting members’ time. Giving them the ability to schedule an appointment from work on their phone or to schedule for later if they come into a branch and there’s a line — that’s the biggest improvement.”

VP of member service, western-US credit union

“Given the improvement in our NPS score over the last several years, it’s clear that members are enjoying Coconut, and they’re finding a lot of value in it.”

VP of member service, western-US credit union

“Appointment scheduling is now standard across the board for all services. If we don’t have that, we’re missing the mark with the modern experience our customers expect. And if we’re not doing this basic thing for them, what can they expect from us as a technologically advanced bank?”

Product owner, bank

Flexibility

The value of flexibility is unique to each customer. There are multiple scenarios in which a customer might implement Coconut and later realize additional uses and business opportunities. In particular, interviewees said that Coconut’s ability to provide data insights — which they had not had before — could lead to future cost savings, service improvements, and business growth in several ways, including:

  • Staff scheduling optimization. Several interviewees saw the opportunity for Coconut’s demand-data visibility to help them better optimize their staffing. The VP of member service for the western-US credit union explained the potential this way: “On a Wednesday ,we would be fully staffed, and there’d be a few members coming through the doors. Then on a Friday or Saturday, we’d have lines out the door. Coconut has enabled us to see when our members need us. This is when we’re going to schedule people.”

  • Smart, scaled growth. The manager of service delivery support for the large California credit union saw the potential for staffing optimization to support less costly expansion. They said: “Branch managers use Coconut to see their volume, so we want to integrate it with a forecasting tool for staff scheduling. And as we move into areas of the state that we don’t currently have a presence in, do we want to have a full staff [in these new branches], or do we want augmented staffing, where one branch supports another via a virtual servicing model?”

  • Customer lifecycle insights. Interviewees planned to mine customer journey data from Coconut for a more informed 360-degree view. The product owner for the bank shared: “Today, we’re able to track meeting value in an ad hoc way, but we’re hoping within the next few years, when we upgrade our CRM, we’ll be able to export our Coconut data to track that full customer lifecycle, from when they booked the appointment to when they showed up to the final revenue outcome.”

  • More effective marketing. The SVP and head of data for the investment firm discussed how their firm’s marketing approach had evolved over the past several years from broad, brand awareness campaigns to more data-driven, segmented strategies aimed at specific demographics. They said: “Before, our marketing strategy was ‘shoot and pray.’ Now, we target platforms specifically for different demographics based on data, and we’re seeing a higher lift at a lower cost.” While Coconut data had not yet informed those strategies, the interviewee agreed there was potential to use their own first-party data to tailor those outreach efforts.

  • Improved compliance. The VP of member service for the western-US credit union said: “Our old processes allowed loan officers to potentially make several errors in an application, so they would spend 30 minutes at the end of every day checking for compliance errors and having to call members back if they needed to correct something. Tightening up our process with Coconut has helped us reduce compliance-related errors from 25% to 12%.” These improvements could potentially reduce auditing costs, compliance penalties, or costly legal fees.

Flexibility would also be quantified when evaluated as part of a specific project (described in more detail in Total Economic Impact Approach).

“We introduced Coconut, which led us to create a centralized workforce management team. We’re now taking data from Coconut to produce staffing models that are matching member demand.”

VP of member service, western-US credit union

Analysis Of Costs

Quantified cost data as applied to the composite

Total Costs

Ref. Cost Initial Year 1 Year 2 Year 3 Total Present Value
Ftr Licensing $0 $286,000 $286,000 $286,000 $858,000 $711,240
Gtr Implementation costs $592,250 $0 $0 $0 $592,250 $592,250
Htr Ongoing costs $0 $381,225 $381,225 $381,225 $1,143,675 $948,050
  Total costs
(risk-adjusted)
$592,250 $667,225 $667,225 $667,225 $2,593,925 $2,251,540

Licensing

Evidence and data. Coconut provided approximate licensing costs that were in line with the number of users and the features likely for the composite. Forrester then validated this information against the cost benchmarks provided by the interviewees.

Modeling and assumptions. Based on the interviews, Forrester assumes that the composite organization purchases Coconut Software licenses for its 650 users and adds the additional marketing package allowing for custom branding and online meeting booking through popular search engines.

Risks. Licensing costs may vary from organization to organization depending on:

  • The number of users (based on the number of advisors in each branch or throughout the organization who take appointments).

  • The number of additional features desired.

Results. To account for these risks, Forrester adjusted this cost upward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $711,000.

Licensing

Ref. Metric Source Initial Year 1 Year 2 Year 3
F1 Coconut users Composite   650 650 650
F2 Per-user license fee Coconut   $400 $400 $400
Ft Licensing F1*F2 $0 $260,000 $260,000 $260,000
  Risk adjustment ↑10%        
Ftr Licensing (risk-adjusted)   $0 $286,000 $286,000 $286,000
Three-year total: $858,000 Three-year present value: $711,240

Implementation Costs

Evidence and data. Interviewees shared how much time and internal effort their organizations spent to implement Coconut.

  • The smaller California credit union completed its implementation in the shortest period of time (16 weeks) and only required two FTEs to complete the project.

  • The larger California credit union took 26 weeks for implementation and required four FTEs to complete the project.

  • The western-US credit union took a full year for implementation, requiring three FTEs during that period. This organization did not have a prior lobby-management solution, and its prior meeting-scheduling solution was a very light deployment, with no adoption among individual advisors.

  • The bank implemented Coconut in 26 weeks, though due to its large size (970 branches), it required 12 FTEs to complete the deployment.

Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:

  • The composite organization takes six months (26 weeks) to transition from its prior solution(s) to Coconut, so the implementation happens in the Initial period, with benefits and ongoing costs beginning in Year 1.

  • A small amount of training is required for each of the 650 Coconut users.

  • The organization needs to purchase equipment (tablets and stands) for in-branch kiosks, where customers sign in for their appointment or for walk-in services.

Risks. Implementation costs may vary from organization to organization depending on:

  • The number of branches and whether deployment must be phased due to organizational size.

  • The level of technical sophistication or maturity.

  • Its ability to manage implementation in-house versus depending on vendor professional services or third-party systems integrators or contractors.

  • Variability in labor costs based on location.

Results. To account for these risks, Forrester adjusted this cost upward by 15%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $592,000.

“It’s been fantastic working with Coconut. Every partner and stakeholder that we have introduced to Coconut all say they’re a great team, they’re collaborative, they’re empathetic, they’re always willing to dive into a problem, and they follow through.”

Product owner, bank

Implementation Costs

Ref. Metric Source Initial Year 1 Year 2 Year 3
G1 Internal implementation staff (FTEs) Composite 5      
G2 Implementation timeline (weeks) Composite 26      
G3 Fully burdened annual salary of internal implementation staff Composite E3      
G4 Subtotal: Implementation labor costs G1*G2/52*G3 $400,000      
G5 Coconut users Composite 650      
G6 Training per user (hours) Composite 2      
G7 Fully burdened hourly rate for an advisor Composite D12      
G8 Subtotal: Training costs G5*G6*G7 $65,000      
G9 In-branch equipment (kiosks and tablets) Composite $50,000      
Gt Implementation costs G4+G8+G9 $515,000      
  Risk adjustment ↑15%        
Gtr Implementation costs (risk-adjusted)   $592,250 $0 $0 $0
Three-year total: $592,250 Three-year present value: $592,250

Ongoing Costs

Evidence and data. Interviewees from the participating organizations also provided data on the level of support required to run and maintain Coconut on an ongoing basis.

  • All interviewees said their organizations managed their Coconut implementations with internal labor alone; none of the companies required additional professional services or external consultants.

  • The representative from the western-US credit union noted that the only time their organization needed to invest significant resources in maintaining Coconut was during a major upgrade in 2025. That enhancement required five people for a couple of months.

  • Interviewees from the larger California credit union explained that they had six people in their IT organization who managed Coconut as part of their product portfolios, as well as one or two additional people embedded in each business unit. These employees dedicated only a portion of their time to managing Coconut.

Modeling and assumptions. Based on the interviews, Forrester assumes the following about the composite organization:

  • The composite requires a total of two FTEs to manage and maintain the Coconut deployment across all of its branches.

  • The organization sees an average advisor turnover of 10% per year, resulting in modest annual training needs.

  • The organization also incurs a small annual maintenance cost for the in-branch kiosk equipment.

Risks. An organization’s ongoing support costs for any software solution are likely to vary based upon its size, maturity, and capacity of its technical staff.

Results. To account for these risks, Forrester adjusted this cost upward by 15%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $948,000.

Ongoing Costs

Ref. Metric Source Initial Year 1 Year 2 Year 3
H1 Internal management staff (FTEs) Composite   2 2 2
H2 Fully burdened annual salary for internal management staff E3   $160,000 $160,000 $160,000
H3 Subtotal: Ongoing management costs H1*H2   $320,000 $320,000 $320,000
H4 New Coconut users per year due to employee turnover Composite   65 65 65
H5 Training per user (hours) Composite   2 2 2
H6 Fully burdened hourly rate for an advisor D12   $50 $50 $50
H7 Subtotal: Ongoing training costs H4*H5*H6   $6,500 $6,500 $6,500
H8 In-branch equipment maintenance Composite   $5,000 $5,000 $5,000
Ht Ongoing costs H3+H7+H8 $0 $331,500 $331,500 $331,500
  Risk adjustment ↑15%        
Htr Ongoing costs (risk-adjusted)   $0 $381,225 $381,225 $381,225
Three-year total: $1,143,675 Three-year present value: $948,050

Financial Summary

Consolidated Three-Year, Risk-Adjusted Metrics

Cash Flow Chart (Risk-Adjusted)

[CHART DIV CONTAINER]
Total costs Total benefits Cumulative net benefits Initial Year 1 Year 2 Year 3

Cash Flow Analysis (Risk-Adjusted)

  Initial Year 1 Year 2 Year 3 Total Present Value
Total costs ($592,250) ($667,225) ($667,225) ($667,225) ($2,593,925) ($2,251,540)
Total benefits $0 $2,884,474 $4,507,244 $6,212,134 $13,603,852 $11,014,512
Net benefits ($592,250) $2,217,249 $3,840,019 $5,544,909 $11,009,927 $8,762,972
ROI           389%
Payback           <6 months

 Please Note

The financial results calculated in the Benefits and Costs sections can be used to determine the ROI, NPV, and payback period for the composite organization’s investment. Forrester assumes a yearly discount rate of 10% for this analysis.

These risk-adjusted ROI, NPV, and payback period values are determined by applying risk-adjustment factors to the unadjusted results in each Benefit and Cost section.

The initial investment column contains costs incurred at “time 0” or at the beginning of Year 1 that are not discounted. All other cash flows are discounted using the discount rate at the end of the year. PV calculations are calculated for each total cost and benefit estimate. NPV calculations in the summary tables are the sum of the initial investment and the discounted cash flows in each year. Sums and present value calculations of the Total Benefits, Total Costs, and Cash Flow tables may not exactly add up, as some rounding may occur.

From the information provided in the interviews, Forrester constructed a Total Economic Impact™ framework for those organizations considering an investment in Coconut Software.

The objective of the framework is to identify the cost, benefit, flexibility, and risk factors that affect the investment decision. Forrester took a multistep approach to evaluate the impact that Coconut can have on an organization.

Due Diligence

Interviewed Coconut Software stakeholders and Forrester analysts to gather data relative to the benefits and costs of Coconut.

Interviews

Interviewed decision-makers at five organizations using Coconut Software to obtain data about costs, benefits, and risks.

Composite Organization

Designed a composite organization based on characteristics of the interviewees’ organizations.

Financial Model Framework

Constructed a financial model representative of the interviews using the TEI methodology and risk-adjusted the financial model based on issues and concerns of the interviewees.

Case Study

Employed four fundamental elements of TEI in modeling the investment impact: benefits, costs, flexibility, and risks. Given the increasing sophistication of ROI analyses related to IT investments, Forrester’s TEI methodology provides a complete picture of the total economic impact of purchase decisions. Please see Appendix A for additional information on the TEI methodology.

Total Economic Impact Approach

Benefits

Benefits represent the value the solution delivers to the business. The TEI methodology places equal weight on the measure of benefits and costs, allowing for a full examination of the solution’s effect on the entire organization.

Costs

Costs comprise all expenses necessary to deliver the proposed value, or benefits, of the solution. The methodology captures implementation and ongoing costs associated with the solution.

Flexibility

Flexibility represents the strategic value that can be obtained for some future additional investment building on top of the initial investment already made. The ability to capture that benefit has a PV that can be estimated.

Risks

Risks measure the uncertainty of benefit and cost estimates given: 1) the likelihood that estimates will meet original projections and 2) the likelihood that estimates will be tracked over time. TEI risk factors are based on “triangular distribution.”

Financial Terminology

Present value (PV)

The present or current value of (discounted) cost and benefit estimates given at an interest rate (the discount rate). The PVs of costs and benefits feed into the total NPV of cash flows.

Net present value (NPV)

The present or current value of (discounted) future net cash flows given an interest rate (the discount rate). A positive project NPV normally indicates that the investment should be made unless other projects have higher NPVs.

Return on investment (ROI)

A project’s expected return in percentage terms. ROI is calculated by dividing net benefits (benefits less costs) by costs.

Discount rate

The interest rate used in cash flow analysis to take into account the time value of money. Organizations typically use discount rates between 8% and 16%.

Payback

The breakeven point for an investment. This is the point in time at which net benefits (benefits minus costs) equal initial investment or cost.

Appendix A

Total Economic Impact

Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists solution providers in communicating their value proposition to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of business and technology initiatives to both senior management and other key stakeholders.

Appendix B

Endnotes

1 Source: Consumer Banking Trends 2026, Forrester Research, Inc., May 7, 2026.

2 Source: Business Case Report: Why CX For Financial Services: Proof That Investing In Experience Improves Revenue, Cost, And Resilience, Forrester Research, Inc., March 25, 2026.

3 Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists solution providers in communicating their value proposition to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of business and technology initiatives to both senior management and other key stakeholders.

4 Source: Consumer Banking Trends 2024, Forrester Research, Inc., January 17, 2024.

5 Ibid.

6 Source: Forrester’s US Multichannel Banking Total Experience Score Rankings, 2025, Forrester Research, Inc., June 24, 2025.

7 Source: The State Of Digital Experiences In Banking, 2025, Forrester Research, Inc., January 14, 2025.

8 Source: TransUnion, Q3 2025 Credit Industry Insights Report, US and Canada editions. TransUnion reported average new mortgage loan amount benchmarks of $371,467 in the US and $359,623 in Canada in Q3 2025; Forrester used a rounded benchmark of $350,000 USD for the composite model.

9 Source: FDIC, Quarterly Banking Profile: Commercial Banks and Savings Institutions, Fourth Quarter 2024. FDIC reported a 2024 net interest margin of 2.52% for FDIC-insured commercial banks; Forrester used 2.5% as a rounded proxy.

10 Source: US Federal Reserve Survey of Consumer Finances, 2022.

11 Source: FDIC, Quarterly Banking Profile: Second Quarter 2025. FDIC reported aggregate ROA of 1.13% in Q2 2025, compared with 1.20% in Q2 2024; Forrester used 1.2% as a rounded recent benchmark.

12 Source: TransUnion, Q4 2025 Credit Industry Insights Report; see also TransUnion-cited personal loan account balance data summarized by Motley Fool Money. Forrester used $6,000, rounded from TransUnion-reported average new personal loan account balance data of approximately $6,062.

13 Net Promoter, NPS, and the NPS-related emoticons are registered U.S. trademarks, and Net Promoter Score and Net Promoter System are service marks, of Bain & Company, Inc., Satmetrix Systems, Inc., and Fred Reichheld.

Disclosures

Readers should be aware of the following:

This study is commissioned by Coconut Software and delivered by Forrester Consulting. It is not meant to be used as a competitive analysis.

Forrester makes no assumptions as to the potential ROI that other organizations will receive. Forrester strongly advises that readers use their own estimates within the framework provided in the study to determine the appropriateness of an investment in . For any interactive functionality, the intent is for the questions to solicit inputs specific to a prospect's business. Forrester believes that this analysis is representative of what companies may achieve with Coconut Software based on the inputs provided and any assumptions made. Forrester does not endorse Coconut Software or its offerings. Although great care has been taken to ensure the accuracy and completeness of this model, Coconut Software and Forrester Research are unable to accept any legal responsibility for any actions taken on the basis of the information contained herein. The interactive tool is provided ‘AS IS,’ and Forrester and Coconut Software make no warranties of any kind.

Coconut Software reviewed and provided feedback to Forrester, but Forrester maintains editorial control over the study and its findings and does not accept changes to the study that contradict Forrester’s findings or obscure the meaning of the study.

Coconut Software provided the customer names for the interviews but did not participate in the interviews.

Consulting Team:

Nancy Brooks

Published

August 2025