Executive Summary

Spoofed call fraud — a scam where fraudsters deliberately falsify information transmitted to customer caller IDs to disguise their identity — in the financial industry often results in high-risk situations like unauthorized transactions or account takeovers that can not only lead to financial losses but can also impact brand reputation and customer trust. To combat fraud like spoofed call fraud that originates via customer communication channels, organizations are under constant pressure to tighten security. However, they must balance customer protection with positive customer experiences (CX) and reduced operational costs. To do this, organizations seek to proactively protect outbound calls and reduce customer friction during inbound calls and authentic outbound communications. Ultimately, organizations desire to improve customer and agent experiences while reducing fraud and the associated impacts.1

TransUnion Spoofed Call Protection enables businesses to digitally sign and authenticate outbound calls to prevent fraudsters from spoofing their enterprise numbers, safeguarding brands while limiting liability. As a result, organizations can potentially see better engagement with authentic outbound calls, especially for those calls placed at critical times in the customer lifecycle or during a suspected fraud event.

TransUnion commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Spoofed Call Protection.2 The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of Spoofed Call Protection on their organizations.

479%

Return on investment (ROI)

 

$27.5M

Net present value (NPV)

 

To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed seven decision-makers at four organizations with experience using Spoofed Call Protection. 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 multibillion-dollar financial services organization with almost 1 million outbound calls placed monthly. Phone numbers responsible for making high volumes of outbound calls to customers regarding critical events, such as suspected fraud, account creation activities, and customer service requests, are prioritized for Spoofed Call Protection.

Interviewees said that prior to using Spoofed Call Protection, their organizations were alerted to spoofed calling events via customer notifications made directly through customer contact center channels. However, prior attempts to block spoofed calls yielded limited success, leaving their organizations with a very reactive approach that did little to mitigate financial, reputational, and customer trust losses at their organizations. These limitations led to hefty financial payouts required to make customers whole after account takeovers and similar events that originated as spoofed calls as well as contributed to poor customer engagement and inhibited revenue-generating processes at the organizations. Additionally, as the fraud was reported by customers through contact center channels — primarily by phone — both call centers and back-end fraud investigation workflows suffered operational inefficiencies from the spike in spoofed call fraud.

After the investment in Spoofed Call Protection, the interviewees’ organizations saw a reduction in spoofed call fraud. Key results from the investment included a reduction in financial losses associated with spoofed calling events as well as more efficient call center operations and investigation workflows. Overall, the interviewees’ organizations repaired trust with customers to improve answer rates for authentic outbound calls that contributed to better customer engagement and resulted in revenue for the business.

Key Findings

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

  • Thirty percent annual reduction in spoofed calls to lower fraud-related financial losses. The composite organization adopts Spoofed Call Protection to cover 10% of outbound call volumes in Year 1 and grows to cover up to 40% of outbound call volumes by Year 3. As such, Spoofed Call Protection blocks 37,800 potential spoofed call attempts per month by Year 3. With an average loss per fraud case of $50, the blocked calls save the composite organization $25.3 million in potential fraud losses related to spoofed call events over the three-year investment period.

  • A 6-point improvement in customer answer rates by Year 3 to drive incremental revenue. As spoofed call attempts are reduced, the composite organization benefits from repaired customer trust, which results in lower call abandonment rates (or improved answer rates). When the organization reaches the customer during critical lifecycle events, such as during account creation or during loan approval processes, that answer rate contributes to incremental revenue. By Year 3, the composite organization benefits from 129,600 additional calls answered related to the loan approval process specifically. With an average loan approval rate of 50% and an average loan amount of $2,500, the additional calls result in $4.8 million of incremental revenue over the three-year investment period.

  • Sixteen percent annual reduction in total inbound call volumes and 4% fewer calls reporting real fraud events creates less friction in call center operations. With more spoofed call attempts blocked before they reach the customer, the call center benefits from lower inbound call volumes from fewer spoofed call reports or inquiries from customers and avoids lengthy handle times related to fraud remediation processes. The productivity improvement for agents in the call center is worth over $3.1 million in operational cost savings for the composite organization over the three-year investment period.

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

  • Reputational or brand improvement from proactively protecting customers from spoofed call events. Any fraud event, regardless of the composite organization’s level of blame, impacts its brand or reputation in the market. This is especially true in the current customer landscape when incidents are openly discussed on public forums. Reducing spoofed call events eliminates one type of fraud from public discussion, thereby mitigating brand and reputational risks.

  • Less friction for customers in their interactions with the organization to improve CX. While less friction in call centers results in operational efficiencies with real bottom-line impact, it also contributes to better customer experiences as demonstrated through higher service scores.

  • Improved ability to better meet regulatory and governance requirements by proving due diligence and providing data to support audit requests. The composite organization not only needs to prove to customers that it is attempting to proactively protect them against fraud, but it also answers to various regulatory bodies. Having Spoofed Call Protection in place not only proves due diligence, but it also facilitates meeting audit requirements by providing data on attempted and blocked fraud events.

  • Other operational cost savings. Fewer spoofed call events allow fraud investigation teams at the composite organization to reallocate time and effort to other fraud investigation efforts. Additionally, spoofed call fraud often requires remediation steps, such as issuing new cards to customers, which have operational expenses for printing and mailing that are no longer required.

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

  • Cost of Spoofed Call Protection platform paid to TransUnion. The composite organization pays licensing fees to TransUnion for the Spoofed Call Protection platform based on total outbound call volumes. The composite averages 900,000 outbound calls per month and pays a monthly fee to Transunion that totals $1.6 million annually. Additionally, the composite pays $100,000 per year in professional services fees to TransUnion for initial and ongoing implementation support.

  • Internal resources dedicated to implementation and the TransUnion relationship. The composite organization dedicates technical and development resources as well as a project management resource to implementation that spans three months. Two resources remain associated with the project for ongoing management of the platform and the TransUnion relationship over the three-year investment period. Total internal resource time dedicated to the project costs the organization $472,000 over the three years.

The financial analysis that is based on the interviews found that a composite organization experiences benefits of $33.2 million over three years versus costs of $5.7 million, adding up to a net present value (NPV) of $27.5 million and an ROI of 479%.

30%

Outbound calls blocked annually as fraudulent with Spoofed Call Protection

“The driving factor for this investment, for us was, ‘Man, how do we keep our customers from giving their [information] away?’ And the answer was, ‘Well, let’s cut the fraudsters off at the knees. Let’s not even give them a chance to get to our customers.’”

VP of call center operations, financial services

Key Statistics

479%

Return on investment (ROI) 

$33.2M

Benefits PV 

$27.5M

Net present value (NPV) 

<6 months

Payback 

Benefits (Three-Year)

[CHART DIV CONTAINER]
Reduced phone fraud losses Increased answer rates driving incremental revenue Improved customer service agent productivity

The TransUnion Spoofed Call Protection Customer Journey

Drivers leading to the Spoofed Call Protection investment

Interviews

Role Industry Geography Employee Count TU Spoofed Call Coverage
Senior business director
Senior business analyst
Business manager
Financial services Headquartered in North America 50,000+ 98% of phone numbers covered; 50% of call volume
VP of call center operations
SVP, contact center
Financial services Headquartered in North America 1,500 Nine phone numbers covered (all high-volume, customer facing calls); 176,000 calls placed in 2025
SVP, fraud prevention strategy Financial services Headquartered in North America 200,000+ All numbers in fraud call center (800 calls/day); all numbers in account-related call center (150 calls/day); all numbers related to loan products (1,000 calls/day)
VP, security manager — fraud intelligence Financial services Headquartered in North America 55,000 32 million calls covered in 2025

Key Challenges

Prior to investing in Spoofed Call Protection, interviewees’ organizations did not have a specific tool or platform in place to proactively prevent spoofed calling events and instead relied on customer notifications and internal investigation processes. As such, their customers succumbed to spoofed calling fraud, and these organizations bore the brunt of both the financial and reputational impacts.

Interviewees noted how their organizations struggled with common challenges, including:

  • Financial losses associated with spoofed calling events. At the interviewees’ organizations, customers reported claims of unauthorized transactions or compromised credentials that originated from a spoofed calling event. As such, the financial institutions were responsible for making customers whole again, resulting in major financial losses for the interviewees’ organizations.

  • Friction in call centers that impacted operations and CX. Interviewees noted that many of the processes in place to manage fraud events prior to Spoofed Call Protection required a customer to call in to their organizations to file a claim, which then triggered an internal fraud investigation and customer remediation process. To mitigate the influx of spoofed calling claims, their organizations attempted to implement multiple manual authentications for outbound calls, including asking customers to hang up and call the organization back. As such, many customers experienced friction in their interactions with the interviewees’ organization while these organizations experienced high volumes of fraud-related calls, extended handle times, and higher abandonment rates in call centers.

  • Reputation and trust concerns that impacted business initiatives and growth. The spike in spoofed calling events and the associated customer friction not only impacted CX at the interviewees’ organizations but also impacted their abilities to meet business objectives. For example, there were often critical points within a customer lifecycle when the organizations were required to reach out to customers via outbound calls, such as during the account creation or loan application processes. If customers experienced spoofed associated with the organization previously, they were often hesitant to answer future calls, thus leaving new business on the table for the interviewees’ organizations. Additionally, these financial institutions often lived and died by their reputation in the market and when poor customer experiences were broadcasted on social channels or in the news, it reflected poorly on the brands and had lasting effects on the businesses.

Investment Objectives

The interviewees searched for a solution to proactively stop spoofed calling events before they reached customers and thereby mitigate the impacts of such fraud.

After a request for proposal (RFP) and business case process evaluating multiple vendors, the interviewees’ organizations chose TransUnion for Spoofed Call Protection due to:

  • Coverage by carrier. When compared to other vendors, the interviewees cited TransUnion’s coverage of the four major network carriers as a primary reason for selecting the vendor.

  • Easier implementations and configurations within technology ecosystem. Many interviewees’ organizations had an existing relationship with TransUnion through other products that were already implemented within their technology ecosystem. As such, it was easier for them to get the Spoofed Call Protection product through procurement processes and configured within the existing environment.

  • TransUnion’s early involvement in the market and investment in STIR/SHAKEN. Interviewees noted that TransUnion offered one of the first products in the market for spoofed call protection and that they actively worked with regulatory entities and network carriers to define the shake-and-stir method of correctly identifying spoofed call events. As such, they were seen as both a market leader and a trusted partner.

“You don’t want to be the slowest person running from the ‘bear.’ For companies that do not have [Spoofed Call Protection in place], they are going to be at risk.”

Senior business director, financial services

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 multibillion-dollar financial services organization is headquartered in North America and has a strong brand, global operations, and a large customer base. The composite organization communicates with its customer base through various phone numbers tied to both centralized contact centers and regional offices depending on the nature of the outbound call. The outbound call volumes average 900,000 per month.

  • Deployment characteristics. The composite organization implements Spoofed Call Protection to cover outgoing phone numbers at a scaled adoption rate starting with public-facing numbers and expanding to cover critical numbers that are used to reach customers during authenticated outbound calls, thus continuing to block fraudsters as they search for holes in communication channel security. The adoption rates range from 10% of coverage for outbound volumes in Year 1 to 40% of outbound call volumes by Year 3.

 KEY ASSUMPTIONS

  • Multibillion dollars in annual revenue

  • Financial services industry

  • 80,000 employees

  • 900,000 monthly outbound calls

  • 10% of outbound calls volumes covered in Year 1

  • 40% of outbound call volumes covered by Year 3

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 Reduced phone fraud losses $4,536,000 $9,072,000 $18,144,000 $31,752,000 $25,253,013
Btr Increased answer rates driving incremental revenue $648,000 $1,620,000 $3,888,000 $6,156,000 $4,849,046
Ctr Improved customer service agent productivity $1,382,400 $1,244,160 $1,105,920 $3,732,480 $3,115,853
  Total benefits (risk-adjusted) $6,566,400 $11,936,160 $23,137,920 $41,640,480 $33,217,912

Reduced Phone Fraud Losses

Evidence and data. Interviewees indicated that prior to Spoofed Call Protection, their organizations lacked a proactive approach to spoofed call fraud attempts, which meant that most attempts reached customers before their organizations were ever notified. Successful spoofed call attempts in the financial services industry led to unauthorized transactions or full account takeovers. As many of the interviewees’ organizations were in highly regulated industries, they were often responsible for making the customer whole regardless of culpability. In other cases, if these organizations were not required to make the customer whole, they chose to do so to protect customer relationships and the broader brand reputation. The resulting financial losses were damaging to the organizations’ bottom lines. With Spoofed Call Protection, interviewees’ organizations stopped spoofed calls at the source with the network carriers before the attempts even reached the customer to improve customer experiences and mitigate the financial losses associated with fraud.

  • The senior business director at a financial services organization indicated that their organization saw a 20% reduction in spoofed calling fraud since the adoption of Spoofed Call Protection. They also said that the reduction in spoofed events had a direct correlation with a reduction in fraud-related financial losses as well, saying: “So, we’ve seen direct loss reduction in fraud from this being in place and we’ve done our best. But we’ve done a sort of a pre- and post-analysis that has shown that we’ve driven down losses in the spaces where we expect to drive down losses.” The same interviewee noted that the big driver of losses from spoofed calls prior to the investment was from phishing of one-time pins, leading to an unauthorized transaction or even an account takeover where the financial institution would be responsible for customer remediation. All in all, the reduction in financial losses helped this interviewee’s organization justify the investment, with the interviewee stating, “We would say that this service is worthwhile because it is paying for itself from a [fraud] prevention standpoint.”

  • The VP of call center operations at a financial services organization noted that 30% of their organization’s outbound call volume was spoofed before and about 55,000 of the 176,000 outbound calls placed in 2025 were blocked after the adoption of Spoofed Call Protection. Many of the prior spoofed call events resulted in direct financial losses. After investing in Spoofed Call Protection, their organization saw a reduction in direct financial losses with the interviewee estimating that the organization “saw a 70% reduction in financial losses tied to the reduction in spoofed call fraud.”

  • The SVP of fraud prevention strategy at a financial services organization said their organization also saw a reduction in spoofed call claims, noting, “It’s a 35% reduction in claims that were originated as spoof calling events or involved that kind of event.” To measure the financial impact, the interviewee stated, “Of all the fraud losses we experienced in the account takeover space, spoofed calling used to constitute 30% of those losses.”

  • The VP, security manager of fraud intelligence at a financial services organization, said that 46% of outbound calls were blocked as an attempted spoofed call once Spoofed Call Protection was adopted and that 20% of fraud involved a full account takeover, which had the largest financial impact in terms of losses to the bank.

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

  • There are 900,000 outbound calls made monthly, and the organization covers 10% of those calls with Spoofed Call Protection in Year 1 to protect public-facing phone numbers from spoofed call fraud. As the fraud morphs and scales over time, the organization adds additional phone calls to the coverage for customer-facing numbers to reach 20% in Year 2 and 40% in Year 3.

  • Prior to Spoofed Call Protection, internal investigations found that 35% of outbound calls were spoofed calls attempts. With Spoofed Call Protection, 30% of those spoofing attempts were blocked.

  • Average fraud loss incurred by the organization is measured on a per-case basis, which indicates that individuals could succumb to multiple fraud attempts. As such, the composite organization averages $50 of loss per case.

Risks. Reduction in phone fraud losses will vary depending on the following:

  • The outbound call volumes at the organization and the adoption of Spoofed Call Protection in terms of the percentage of that volume covered by the platform.

  • The spoofed call attempts experienced prior to implementation and the products and processes in place for remediation.

  • The average fraud loss will vary greatly depending on the organization, the typical outcome of spoofed call fraud, such as individual transactions made versus full account takeovers, as well as the susceptibility of the customer set.

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 $25.3 million.

35%

Outbound calls were spoofed calls prior to Spoofed Call Protection

“There are regulations in play that say that we are responsible for the charges made [during a spoofed call fraud attempt] as the customer had no intent to make the charges. Even if the customer is at fault, we still must pay for those losses.”

VP of call center operations, financial services

Reduced Phone Fraud Losses

Ref. Metric Source Year 1 Year 2 Year 3
A1 Monthly outbound calls Composite 900,000 900,000 900,000
A2 Percentage of outbound calls covered with Spoofed Call Protection Composite 10% 20% 40%
A3 Percentage of outbound calls that were spoofed calls before Spoofed Call Protection Interviews 35% 35% 35%
A4 Calls with fraudulent intent covered by Spoofed Call Protection A1*A2*A3 31,500 63,000 126,000
A5 Calls blocked as fraudulent with Spoofed Call Protection Interviews 30% 30% 30%
A6 Calls deflected as fraudulent A4*A5 9,450 18,900 37,800
A7 Average fraud loss incurred per case Composite $50 $50 $50
At Reduced phone fraud losses A6*A7*12 months $5,670,000 $11,340,000 $22,680,000
  Risk adjustment ↓20%      
Atr Reduced phone fraud losses (risk-adjusted)   $4,536,000 $9,072,000 $18,144,000
Three-year total: $31,752,000 Three-year present value: $25,253,013

Increased Answer Rates Driving Incremental Revenue

Evidence and data. Interviewees noted that prior to Spoofed Call Protection, more fraud attempts reached customers which damaged their organizations’ brand reputation and customer trust. When their organizations needed to reach customers during authorized outbound communications, they found that answer rates had plummeted. This was especially notable during critical customer lifecycle moments or when their organizations needed to notify customers of potential issues, including of suspected fraud. Certain processes were revenue-generating workflows for the interviewees’ organizations, such as during the account creation process or during loan approvals. If the interviewees’ organizations could not reach customers throughout these processes, money was left on the table for the business. With Spoofed Call Protection in place, interviewees’ organizations blocked spoofed call fraud before it reached customers and therefore built more trust with customers to achieve better response and answer rates for authentic outbound calls that drive incremental revenue for the business.

  • The VP of call center operations at a financial services organization saw a 6-point reduction in abandonment rate, down to 4.9% since the adoption of Spoofed Call Protection as a measurement of repaired customer trust and better answer rates for critical customer outreach.

  • The VP, security manager of fraud intelligence at a financial services organization corroborated the improvement to answer rates relative to the investment in Spoofed Call Protection, stating, “We’ve seen between a 15% to 20% improvement to answer rates with Spoofed Call Protection and expect to see even higher improvements when we roll out Branded Call Display from TransUnion as well.”

  • The senior business director at a financial services organization agreed, noting, “I think as part of the product, one of the benefits you get is when you do make a legitimate call, it looks more legitimate.” The same interviewee also explained how the better answer rates accelerated revenue for the institution. They said, “For example, if a customer answers an outbound call on the first attempt, we can accelerate the account creation process and create a new account faster and secure that business for the organization sooner.”

  • The SVP of fraud prevention strategy at a financial services organization indicated that a reduction in frequent customer call backs was one contributing factor to an improved SLA within customer service. Customers no longer had to call back to complete an action with the institution, and the volume of fraud-related inbound calls was reduced, which helped lower the overall volume of inbound calls: “Every time we have to make an outbound call, we tracked how many times we had to call the client [and] leave messages. Then the customer calls back, or we have to follow up with yet another call. [With Spoofed Call Protection], we did see a decline in those reattempts because on the very first attempt we were able to get customers in some cases.” The interviewee estimated that the calls associated with the account creation process were reduced by 20%, which also accelerated the time to create the account and contribute to the business. Generally, the interviewee felt that customer trust had been restored to some degree: “The trust factor is there. We saw good feedback after we introduced some of these technologies because the customer can identify a call from our organization versus a random call.”

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

  • There are 900,000 outbound calls made monthly, and the organization covers 10% of those calls with Spoofed Call Protection in Year 1 to protect public-facing phone numbers from spoofed call fraud. As the fraud morphs and scales over time, the organization adds additional phone calls to the coverage for customer-facing numbers to reach 20% in Year 2 and 40% in Year 3.

  • The composite organization measures the revenue impact through the impact to the loan approval process. As such, 50% of the outbound calls are made from a loan-related product phone number. These calls previously had an abandonment rate of 11% but that rate improves to 5% by Year 3.

  • The additional calls benefit from the 50% average loan approval rate and a $2,500 average loan amount to achieve up to $162 million in revenue by Year 3. Loans have a 3% net profit margin consisting mainly of interest and processing fees.

Risks. Increased answer rates driving incremental revenue may vary depending on the following:

  • The outbound call volumes at the organization and the adoption of Spoofed Call Protection in terms of the percentage of that volume covered by the platform.

  • How the organization measures revenue impact. The composite organization measures revenue impact by the impact to loan-related calls; however, there are other processes that can be improved through higher answer rates and result in incremental revenue for the organization, such as the account creation process.

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 $4.8 million.

6 points

Reduction in abandonment rates

Increased Answer Rates Driving Incremental Revenue

Ref. Metric Source Year 1 Year 2 Year 3
B1 Monthly outbound calls A1 900,000 900,000 900,000
B2 Percentage of outbound calls covered with Spoofed Call Protection A2 10% 20% 40%
B3 Percentage of outbound calls made from loan-related product phone numbers Composite 50% 50% 50%
B4 Abandonment rate before Spoofed Call Protection Interviews 11% 11% 11%
B5 Abandonment rate with Spoofed Call Protection Interviews 7% 6% 5%
B6 Additional calls answered related to loans with Spoofed Call Protection B1*B2*B3*(B4-B5)*12 months 21,600 54,000 129,600
B7 Average loan approval rate Composite 50% 50% 50%
B8 Average loan amount Composite $2,500 $2,500 $2,500
B9 Revenue increase due to better answer rates on loan-related calls B6*B7*B8 $27,000,000 $67,500,000 $162,000,000
B10 Net profit margin Composite 3% 3% 3%
Bt Increased answer rates driving incremental revenue B9*B10 $810,000 $2,025,000 $4,860,000
  Risk adjustment ↓20%      
Btr Increased answer rates driving incremental revenue (risk-adjusted)   $648,000 $1,620,000 $3,888,000
Three-year total: $6,156,000 Three-year present value: $4,849,046

Improved Customer Service Agent Productivity

Evidence and data. Without a proper spoofed call protection platform or tool in place at the interviewees’ organizations prior to the implementation of Transunion’s platform, customers were the first line of defense against these fraud attempts. As such, it was up to the customer to notify these organizations of the attempted fraud, and they did so through the contact center channels available to them. These calls increased total inbound call volumes at the contact center, flooding agent queues with everything from fraud inquiries to notifications of attempted fraud and, unfortunately, remediation requests from victims of successful fraud. The additional calls and the extended handle times strained agent productivity. With Spoofed Call Protection in place, the interviewees’ organizations saw that both call volumes and handle times reduced to improve agent productivity and save operational expenses in the contact center.

  • Interviewees noted that inbound calls related to fraud inquiries were often long calls, especially those that were determined to be real fraud events. By reducing spoofed call fraud, call centers saw improvements to average wait times. For example, the VP of call center operations at a financial services organization said they saw a 30% reduction in average wait time after the investment in Spoofed Call Protection. Additionally, because of improvements to customer trust and because fewer spoofing attempts reached customers entirely, call volumes in call centers were reduced. The same interviewee estimated an 18% reduction in overall call volumes from fewer abandonments and callbacks for true outbound calls, and fewer calls to verify fraud attempts. While the inbound calls made to verify fraud ran anywhere from 30 seconds to 2 to 3 minutes if the call was a true outbound call from the organization or an attempt at fraud that was effectively avoided by the customer. On top of the verification calls, 4% to 5% of inbound calls were made by customers who had fallen victim to spoofed call fraud. These calls ran upwards of 30 to 45 minutes for the agent before they could redirect to investigation and remediation teams.

  • The SVP of fraud prevention strategy at a financial services organization saw a 20% improvement in customer service SLAs in the contact center due to better alerts and customers answering calls in the first try.

  • The VP, security manager of fraud intelligence at a financial organization said their organization experienced a reduction in total inbound call volumes of between 15% and 30% from fewer spoofed call fraud inquiries to call centers. Additionally, 10% of spoofed call inquiries were to report an actual fraud event and those calls ran about 45 minutes in terms of handle time, which taxed call center agents.

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

  • The composite organization handles 2 million monthly inbound calls but only 40% to 50% ever involve a live agent due to interactive voice response (IVR) containment rates. Twenty percent of the inbound calls handled by an agent are calls related to spoofed calling events, either as a means of verification or a means to report a true fraud event.

  • With Spoofed Call Protection, the organization reduces this overall call volume by 16% annually by proactively stopping spoofed call attempts before they reach the customer, thus saving the agent the 1.5 minutes of time spent with a customer verifying a true outbound call from the organization or confirming an avoided spoofed calling attempt.

  • Additionally, 4% of the inbound calls handled by an agent and related to spoofed calling were made to report a successful fraud attempt. These calls took 30 minutes of agent time, during which the agents collected information before handing the customer off to the appropriate investigation or remediation teams.

  • The fully burdened hourly rate for a customer service agent is $30.

Risks. Improved customer service agent productivity may vary depending on the following:

  • Inbound call volumes experienced by the organization, the percentage of such calls handled by an agent, and those related specifically to spoofed calling attempts as well as the KPIs related to such calls, including handle times.

  • The spoofed call attempts experienced prior to implementation and the products and processes in place for remediation.

  • Industry and geographical location impacts agent hourly rates.

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 $3.1 million.

16%

Reduction in inbound calls related to spoofed calling attempts

Improved Customer Service Agent Productivity

Ref. Metric Source Year 1 Year 2 Year 3
C1 Monthly inbound calls Composite 2,000,000 2,000,000 2,000,000
C2 IVR containment Composite 50% 55% 60%
C3 Percentage of inbound calls related to spoofed call events prior to Spoofed Call Protection Composite 20% 20% 20%
C4 Average monthly inbound calls managed by live phone agent related to spoofed call events C1*(1-C2)*C3 200,000 180,000 160,000
C5 Reduction in total inbound calls volumes from fewer spoofed call fraud inquiries Interviews 16% 16% 16%
C6 Average customer service agent time savings on spoofed call fraud events prior to Spoofed Call Protection (minutes per call) Interviews 1.5 1.5 1.5
C7 Percentage of inbound calls that reported real spoofed call fraud events prior to Spoofed Call Protection Interviews 4% 4% 4%
C8 Average customer service agent time savings on spoofed call fraud event (minutes per call) Interviews 30 30 30
C9 Total monthly time savings (hours) (C4*C5*C6)+(C4*C7*C8)/60 minutes 4,800 4,320 3,840
C10 Fully burdened hourly rate for a customer service agent Composite $30 $30 $30
Ct Improved customer service agent productivity C9*C10*12 months $1,728,000 $1,555,200 $1,382,400
  Risk adjustment ↓20%      
Ctr Improved customer service agent productivity (risk-adjusted)   $1,382,400 $1,244,160 $1,105,920
Three-year total: $3,732,480 Three-year present value: $3,115,853

Unquantified Benefits

Interviewees mentioned the following additional benefits that their organizations experienced but were not able to quantify:

  • Reputational or brand improvement from proactively protecting customers from spoofed call events. Prior to Spoofed Call Protection, customers of the interviewees’ organizations were self-reporting incidents of fraud that originated as spoofed calling events. Not only was the fraud often successful, but the customers themselves were the only line of defense against fraudsters and were responsible for reporting said fraud. A senior business director at a financial services organization noted that both the fraud events themselves and the lack of perceived protection from their institution caused reputational damage to their organization: ”[With Spoofed Call Protection, we saw], reputational benefits because we’re protecting our phone numbers from being spoofed which matters from a customer perception.”
    The VP of call center operations at a financial services organization recognized that fraudsters were ever-changing and would likely find another way to commit fraud if there were protections against spoofed calling. However, they also noted that their organization needed to do its due diligence, including implementing tools and platforms, to help block fraud attempts wherever possible. They said that without protections in place, their organization would be perceived as vulnerable in the market by fraudsters: “But how do we get to a point where the path of least resistance is not with [our organization] so that the fraudsters think to go to a different bank where there are fewer protections in place?”
    An SVP of fraud prevention strategy at a financial services organization furthered that their organization could appear vulnerable to their own customer base as well. They said: “We also compare that against our industry peers like other banks and all that in different forums. And that’s where we saw that at least our name was not popping up so much in some of those reports of which banks are getting spoofed more.”

  • Less friction for customers in their interactions with the organization to improve CX. Spoofed Call Protection replaced the manual methods of customer authentication during outbound communications that were in place prior to the interviewees’ organizations’ investment. Additionally, call centers received fewer spoofed call claims reported by customers. Together, interviewees noted these improvements reduced customer friction in call centers by reducing average handle times, overall call volumes, and abandonment rates. As such, the interviewees’ organization received fewer customer complaints and improved customer experience scores. The VP of call center operations at a financial services organization said: “We had less friction for our customers, which reduces [friction]. So, you’ve got really a combination. ... Any one thing can have an impact, but you start to get some synergy going. Today, we’re looking at about a 20-point lift in service levels.” An SVP of fraud prevention strategy at a financial services organization corroborated the lift in service levels by adding: “We have seen lower complaints when it comes to outbound phone calls where customers are able to identify us. They can easily identify it from the bank, so those kinds of complaints went down.”

  • Improved ability to better meet regulatory and governance requirements by proving due diligence and providing data to support audit requests. Financial institutions are governed by strict regulatory and governance requirements. Interviewees noted that having Spoofed Call Protection in place helped not only prove due diligence but also provided necessary data regarding certain events that were blocked due to suspected fraud, such as a customer transaction. A senior business director at a financial services organization said, “Protecting our numbers from being spoofed also matters from a regulatory and a well-managed perspective, which is pretty important for being a large financial institution.”
    The SVP of fraud prevention strategy at a financial services organization stated the importance of having the data from Spoofed Call Protection to help make the audit process more efficient when audit requests come in from regulators, stating: “When a customer is trying to move money, it’s their right — if they have their money with us, it’s their right to move the money when they want. So if there are transactions that we suspect as fraud and we decline with our proper due diligence, that’s a red mark when the audit happens. And that’s where some of these outbound calls without resolution, [where] if it sits and then eventually, we decline, we’ll have to justify [to the regulator]. So that’s where this really helps, because we were able to reduce some of those call volumes.”

  • Other operational cost savings. With spoofed calling fraud events reduced, the interviewees’ organizations redirected fraud investigation team resources to fight other fraud types and instances. The senior business director at a financial services organization said that while there is still some monitoring and investigative work that is happening related to the Spoofed Call Protection implementation, it is more focused on making sure the service works properly. Therefore, their organization’s investigation team can focus on investigating the fraud types that slip through the cracks. The VP of call center operations at another financial services organization indicated that the reduction in spoofed call fraud has “freed up a lot of the bandwidth for the involved risk and fraud teams.”
    In addition to the impact to internal investigation teams, there were also operational efficiencies within remediation workflows, some of which reduced organizational expenses for the interviewees’ organizations. The VP security manager of fraud intelligence at a financial services organization noted that most spoofed call fraud resulted in either credit card compromise or full account takeovers. For card compromise situations, the investigation starts with an inbound call to customer care center, then the customer is redirected to card loss prevention team to review accounts and identify fraudulent transactions before they reissue card. Each of the involved teams redirected time savings from reduced spoofed call events to help customers through other fraud events. Additionally, there were also shipping and printing costs associated with the reissued card that the interviewee’s organization often ate on behalf of the customer. The interviewee said that, similarly, account takeover events also started with an inbound call to customer care center, which were then redirected to remediation teams and the process required multiple touch points with the customer, which was a large operational burden.

“It always helps when we talk to regulators that we are spending all this money and all this effort to reduce some of those [fraud-related financial] losses or reputational losses. That gives us brownie points to say that we are putting in the effort to reduce or protect our clients’ interest, so to speak.”

SVP, fraud prevention strategy, financial services

Flexibility

The value of flexibility is unique to each customer. There are multiple scenarios in which a customer might implement Spoofed Call Protection and later realize additional uses and business opportunities, including:

  • Expanding spoofed call protection coverage and ramping overall fraud protection. As interviewees’ organizations realized the value of Spoofed Call Protection in its ability to reduce real fraud, they opted to expand the platform to cover more business areas and regions. The senior business director at a financial services organization said: “Now, we have additional businesses looking at implementing Spoofed Call Protection. For example, we have a Canadian credit card business that’s looking at it. So there are other groups that are interested in onboarding.” The same interviewee recognized that part of the expansion to new business areas naturally led to a more global approach to spoofed call protection strategies by including functions in both Canada and the UK. The SVP of fraud prevention strategy agreed: “[Our organization plans to] cover more channels in additional to call channels, to protect against spoofing attempts in text channels and the like.” Both interviewees indicated that they expanded coverage areas and functionality to meet fraudsters where they were as they were constantly shifting their approaches.
    The VP of call center operations at a financial services organization leveraged the success of the Spoofed Call Protection platform to bid for and implement other fraud protection technologies. They said: “[This investment in Spoofed Call Protection] was the enabler for us to get a number of other fraud tools approved as we move forward because there was a lot of confidence that came with a lot of real data as proof. Because of how effective the tool was, it enabled us to do a few other things, such as voice, biometric authentication, etc.”

  • Enhancing focus on customer education. While interviewees lamented that prior to Spoofed Call Protection, they often relied on customer education to prevent fraud, they found themselves returning to the customer education approach once the product was implemented. The renewed focus on customer education was born out of access to more data, insights, and learnings on behalf of the organization that could help protect customers against any fraud attempts that fall through the cracks. The senior business director said: “We are contemplating being more forthright with what we’re doing to protect customers in our customer education. We’ve cited some of the spoof call protection tools in our communications with customers, regulators, and the like.” The SVP of fraud prevention strategy agreed that they would build on customer education and put processes in place to further trust: “That way, when the client — even though they pick up, if they are still in doubt — we can instruct them [to] go log in to the app or click on that push, and you’ll see that we are actually calling you regarding this. So that way, it’s like a two-way confirmation for the client.”

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

“[Since implementing Spoofed Call Protection], we have grown to build what we consider to be a proactive, forward-looking fraud fabric at the organization.”

VP of call center operations, financial services

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
Dtr TransUnion Spoofed Call Protection costs $120,000 $2,068,320 $2,068,320 $2,068,320 $6,324,960 $5,263,606
Etr Implementation support $23,760 $297,000 $148,500 $74,250 $543,510 $472,272
  Total costs (risk-adjusted) $143,760 $2,365,320 $2,216,820 $2,142,570 $6,868,470 $5,735,878

TransUnion Spoofed Call Protection Costs

Evidence and data. Interviewees paid TransUnion to license the Spoofed Call Protection platform based on the volume of outbound calls made as reported by the network providers. Additionally, some of the interviewees’ organizations leveraged professional services from TransUnion to assist with initial onboarding of the platform and on an ongoing basis to expand coverage of the platform to more phone numbers, businesses, and regional areas. This was especially true for interviewees’ organizations with call center technology or telephony providers that lacked integration with the Spoofed Call Protection platform.

Pricing may vary. Contact TransUnion for additional details.

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

  • The composite organization pays a monthly fee to license the Spoofed Call Protection platform based on its outbound call volume of 900,000.

  • The composite organization utilizes back-end contact center and telephony solutions that lack integrations with TransUnion; therefore, the organization pays $100,000 for professional services support each year.

Risks. The cost to TransUnion for Spoofed Call Protection will vary depending on the following:

  • The organization’s contact center and telephony technology ecosystem.

  • The volume of outbound calls that are made on a monthly basis.

Results. To account for these risks, Forrester adjusted this cost upward by 20%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $5.3 million.

TransUnion Spoofed Call Protection Costs

Ref. Metric Source Initial Year 1 Year 2 Year 3
D1 TransUnion platform cost (annual) $135,000*12 months   $1,623,600 $1,623,600 $1,623,600
D2 TransUnion professional services Composite $100,000 $100,000 $100,000 $100,000
Dt TransUnion Spoofed Call Protection costs D1+D2 $100,000 $1,723,600 $1,723,600 $1,723,600
  Risk adjustment ↑20%        
Dtr TransUnion Spoofed Call Protection costs (risk-adjusted)   $120,000 $2,068,320 $2,068,320 $2,068,320
Three-year total: $6,324,960 Three-year present value: $5,263,606

Implementation Support

Evidence and data. Interviewees said their organizations dedicated internal resources to the initial onboarding project as well as for ongoing management of the platform and the relationship with TransUnion. Implementation responsibilities included facilitating internal approvals, analyst work, and assisting in building API integrations. Additional resources were dedicated to the testing effort once the platform was live. On an ongoing basis, resources met with TransUnion to discuss the product roadmap and the strategy for adding coverage by phone number, business area, and region.

  • The senior business director at a financial services organization estimated that their internal resources spent about one month of their time on development work as part of platform implementation. They said: “The harder part for us is more on our side trying to coordinate across a bunch of different groups. We have a centralized team that manages our phone numbers, but we also have teams by the different line of business that manage the dial-in technology and how it gets leveraged with different agent platforms. So there’s a little bit of internal management that took a while, but the actual hands-on keyboard development time was very minimal.”

  • Additionally, the senior business director indicated that their organization dedicated internal resources to the testing effort: “Testing was probably the next hardest thing for us or the next thing that needs to be done that TransUnion was providing support on. I think the integration piece was easy. We’re an AWS Connect user, and I think that integration is seamless. So, I would say pretty happy with that and how quickly that went.”

  • A VP of call center operations at a financial services organization said that their organization lacked a direct integration option and therefore built a custom API script that took two to three months of development work for one FTE. As such, adding phone numbers was not easy and could take additional ongoing development work.

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

  • The composite organization dedicated 60 hours of technical, development, and project management resource time to the initial implementation across the three-month project timeline.

  • Two FTEs dedicate 100% of their time to the ongoing management of the platform and Transunion relationship in Year 1. Time dedicated tapers off to 50% in Year 2 and 25% in Year 3 as less time is spent adding additional coverage areas and problem-solving issues with the platform.

Risks. Internal resource time spent may vary depending on the following:

  • The back-end integration capabilities available with the existing technology ecosystem.

  • The size and scope of the platform implementation.

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 $472,000.

Implementation Support

Ref. Metric Source Initial Year 1 Year 2 Year 3
E1 Initial implementation hours per month Interviews 60      
E2 Months to implement Composite 3      
E3 Fully burdened hourly rate for an implementation resource Composite $120      
E4 FTEs required for ongoing management Interviews   2 2 2
E5 Percentage of time dedicated to ongoing management Interviews   100% 50% 25%
E6 Fully burdened annual salary for an FTE dedicated to ongoing management Composite   $135,000 $135,000 $135,000
Et Implementation support (E1*E2*E3)+(E4*E5*E6) $21,600 $270,000 $135,000 $67,500
  Risk adjustment ↑10%        
Etr Implementation support (risk-adjusted)   $23,760 $297,000 $148,500 $74,250
Three-year total: $543,510 Three-year present value: $472,272

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 ($143,760) ($2,365,320) ($2,216,820) ($2,142,570) ($6,868,470) ($5,735,878)
Total benefits $0 $6,566,400 $11,936,160 $23,137,920 $41,640,480 $33,217,912
Net benefits ($143,760) $4,201,080 $9,719,340 $20,995,350 $34,772,010 $27,482,034
ROI           479%
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 Spoofed Call Protection.

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 Spoofed Call Protection can have on an organization.

Due Diligence

Interviewed TransUnion stakeholders and Forrester analysts to gather data relative to Spoofed Call Protection.

Interviews

Interviewed seven decision-makers at four organizations using Spoofed Call Protection 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: Best Practices: Customer Call Center Authentication, Forrester Research, Inc., November 26, 2024.

2 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.

Disclosures

Readers should be aware of the following:

This study is commissioned by TransUnion 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 Spoofed Call Protection. 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 Spoofed Call Protection based on the inputs provided and any assumptions made. Forrester does not endorse TransUnion or its offerings. Although great care has been taken to ensure the accuracy and completeness of this model, TransUnion 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 TransUnion make no warranties of any kind.

TransUnion 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.

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

Consulting Team:

Casey Sirotnak

Published

June 2026