Executive Summary
A rapidly evolving international regulatory landscape and rising consumer demand for transparency around the management of personal data are increasing pressure on enterprise data privacy practices. Enterprises with large digital footprints and sophisticated data infrastructures now require scalable, automated solutions to maintain efficiency while meeting global compliance demands. Leaders must now view privacy and AI governance not only as a source of operational and regulatory risk but also as a strategic opportunity to build trust and support business growth.
Clarip offers a unified privacy, AI governance, and consent management platform that focuses on data privacy and AI enablement for enterprise organizations. It automates critical processes across the full spectrum of data subject access requests (DSARs), consent management, website scanning, and data mapping. Clarip offers the automation and proactive management of regulatory compliance and mitigates risk by detecting unauthorized use by LLMs/AI agents and by getting data AI ready.
Clarip commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying the Clarip platform.1 The study is focused on certain data privacy products in the broader Clarip platform, specifically DSAR fulfillment, website scanning, and consent management. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of the Clarip platform on their organizations.
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed four decision-makers with experience using Clarip. 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 B2C enterprise organization with revenue of $7.5 billion per year and 15,000 employees.
Interviewees said that prior to using Clarip, their organizations faced growing workloads associated with manual privacy request fulfillment, uncertainty around compliance with GDPR and evolving US state regulations, and heightened concerns about data exposure through their websites and across sophisticated data infrastructures and AI pipelines.
After deploying Clarip, interviewees reported stronger confidence in compliance, increased operational efficiency, improved accuracy in managing privacy workflows, and reduced exposure to regulatory penalties and data-leak-related business losses. Key benefits included savings from automated DSAR request fulfillment, risk avoidance from data-privacy-related regulatory fines, and avoided costs for software deployment and professional services.
Key Findings
Quantified benefits. Three-year, risk-adjusted present value (PV) quantified benefits for the composite organization include:
-
Savings from automated DSAR request fulfillment. Heightened regulatory expectations, rising consumer data rights activity, and increasingly complex data environments continue to drive up the volume and complexity of DSARs, particularly among companies with a significant web presence. By automating DSAR processing with the Clarip platform, the composite organization achieves more than $2.7 million in present-value savings over three years.
-
Risk avoidance from data-privacy-related regulatory fines. The data privacy regulatory landscape continues to evolve rapidly as US states and global jurisdictions introduce and amend compliance requirements. Focusing on two major frameworks — the European Union’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) — the composite organization avoids more than $1.0 million in potential annual fines by utilizing Clarip. Using a 5% likelihood of a fine before Clarip, Forrester calculates an annual risk-adjusted benefit of $117,000.
-
Avoided costs for software deployment and professional services. Clarip’s simplified SaaS model provides a single licensing fee based on infrastructure needs and utilized modules from the Clarip suite of data privacy tools, eliminating the additional implementation, engineering, and professional services costs common with comparable solutions. As a result, the composite organization avoids $819,000 in deployment‑related expenses over three years.
Unquantified benefits. Benefits that provide value for the composite organization but are not quantified for this study include:
-
Reduced risk of revenue loss by preventing data leakage. Clarip’s automated website scanning continuously detects changes to cookies, trackers, pixels, and other access points, surfacing both intentional and unintentional risks for the composite organization.
-
Potential uplift in conversion rates through improved consent management. Clarip’s enhanced consent experience and stronger segmentation capabilities help increase user trust and reduce friction for the composite organization, leading to potentially improved opt‑in and conversion rates.
-
Improved data governance efficiency through Clarip data mapping. Clarip’s data mapping and governance capabilities provide continuous visibility into how personal data is collected, shared, and changed across digital properties, enabling the composite organization to move from static, outdated data inventories to active, defensible governance at scale.
-
Greater confidence in ongoing regulatory compliance specific to data privacy. Clarip reduces the burden on the composite’s internal teams by monitoring evolving global privacy requirements and ensuring policies and practices remain aligned with current regulations.
-
Operational efficiency through dedicated and consistent customer support. Clarip provides continuity with specialized engineers and customer success resources — support levels that are difficult for larger vendors to sustain — saving the composite organization time and reducing ongoing management effort.
Costs. Three-year, risk-adjusted PV costs for the composite organization include:
-
Clarip license fees of $1.1 million. The composite organization incurred $440,000 in annual license fees. The risk-adjusted present value of the licensing totals under $1.1 million over three years for the composite organization.
-
The representative interviews and financial analysis found that the composite organization experienced benefits of $3.6 million over three years versus costs of $1.1 million resulting in a net present value (NPV) of $2.6 million and an ROI of 233%.
Key Statistics
233%
Return on investment (ROI)
$3.6M
Benefits PV
$2.6M
Net present value (NPV)
Benefits (Three-Year)
The Clarip Data Privacy Customer Journey
Drivers leading to the Clarip investment
Interviews
| Role | Industry | Region |
|---|---|---|
| Head of privacy and risk | Travel and hospitality | North America |
| SVP, CISO | Retail | North America |
| Senior legal counsel, data protection officer | Technology services | US HQ, global |
| Director, digital compliance | Telecom | US HQ, global |
Key Challenges
All interviewees said their organizations’ manual or semi‑automated privacy processes were no longer sustainable. While each organization originally adopted Clarip to address specific regulatory requirements, interviewees emphasized growing uncertainty in both the regulatory environment and the technologies influencing privacy risk. Interviewees described challenges in four key areas:
-
Increasing threat of regulatory fines due to slow, fragmented DSAR processes. Interviewees noted that DSAR fulfillment required coordination across various systems, stakeholders, and departments/business units. The inefficiency of manual collection, review, and redaction steps contributed to delays that led to noncompliance risks under GDPR, CPPA, and other regulations.
-
Increasing need to automate manual processes as the volume of consumer requests grows. Interviewees observed increases in DSAR request volume driven by expanding customer and prospect bases, broader digital footprints, and heightened consumer awareness of privacy rights. Interviewees highlighted that request spikes were particularly difficult to manage with manual workflows, creating operational bottlenecks and staffing strain. These factors dictated a requirement that privacy operations could expand with demand.
-
Changing compliance and technology landscapes that posed threats to privacy preparedness. Interviewees expressed concern about future privacy requirements due to AI’s impact on the technology industry, including regulatory changes and requirements. With privacy teams spread thin, the ability to proactively prepare for pending requirements was a concern.
-
A lack of visibility into intentional and unintentional data privacy threats across web properties. Interviewees noted that cookies, pixels, beacons, data collection forms, and other potential vulnerabilities could easily be placed on websites either by bad actors or by unwitting employees and partners. Interviewees expressed this as a serious risk as data leakage could result in both lost business and reputational harm.
Solution Requirements
The interviewees’ organizations searched for a solution that could:
-
Immediately comply with continually evolving privacy laws. The interviewees’ organizations prioritized eliminating operational, financial, and reputational risks associated with noncompliance, including potential fines, attorney general (AG) investigations, class actions, reputational damage, and erosion of customer trust.
-
Replace labor-intensive manual processes with automation. Interviewees noted their organizations required automated DSAR processing, consent handling, and website scanning to eliminate multidepartment manual work, reduce operational cost, and ensure timely fulfillment at scale
-
Enable deep visibility into data flows, websites, cookies, and third‑party behavior. Interviewees noted their organizations needed the effective and timely monitoring of changes in activity across a complex and evolving ecosystem of fragmented data sources and web presences.
-
Ensure unique and evolving data privacy needs are met with agility. The interviewees’ organizations required a partner capable of adapting quickly, offering technical and regulatory expertise, and supporting new obligations without long product roadmaps or slow implementation cycles.
-
Scale privacy needs without adding future headcount. Interviewees said their organizations needed to ensure that the platform could scale to meet privacy needs without them needing to add proportional headcount or rely on cross-functional support — particularly for manual process work.
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 composite organization is a B2C company that operates in North America and Europe, generates $7.5 billion in annual revenue, and has 15,000 employees. The composite organization has one full-time employee responsible for data privacy, with multiple cross-function, cross-departmental dependencies.
-
Deployment characteristics. Because of the composite organization’s large web presence and B2C business model, it has identified a critical dependency on data privacy. It uses several modules from the Clarip platform for all variants of DSAR fulfillment including data access, data deletion, data portability, object to processing, data correction, and opting out of selling/sharing data. It also utilizes Clarip for website scanning and consent management.
KEY ASSUMPTIONS
-
$7.5 million in annual revenue
-
15,000 employees
-
Clarip user for 36 months
-
Operating in North America and Europe
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 | Savings from automated DSAR request fulfillment | $909,000 | $1,090,800 | $1,308,960 | $3,308,760 | $2,711,292 |
| Btr | Risk avoidance from data-privacy-related regulatory fines | $46,913 | $46,913 | $46,913 | $140,738 | $116,664 |
| Ctr | Avoided costs for software deployment and professional services | $432,000 | $270,000 | $270,000 | $972,000 | $818,723 |
| Total benefits (risk adjusted) | $1,387,913 | $1,407,713 | $1,625,873 | $4,421,498 | $3,646,679 |
Savings From Automated DSAR Request Fulfillment
Evidence and data. All interviewees noted that the decision to implement Clarip for DSAR fulfillment originated with regulatory compliance needs (e.g., GDPR, CCPA, California Privacy Rights Act [CPRA], and emerging state-level laws). However, each interviewee emphasized that the growing complexity of their organizations’ data environments made manual fulfillment increasingly unscalable.
The senior legal counsel and data protection officer at a technology services organization described its before-state, noting: “Before Clarip, DSARs were manual. … Someone had to talk to brand managers and engineers, collate information, put it on SharePoint, then someone would review and redact. It used to take weeks.”
Subsequent M&A activity added data sources, websites, and internal systems, further compounding the effort required for DSAR fulfillment if automation had not been in place.
The automation interviewees cited covered every variation of privacy rights requests, including data access, data deletion, data portability, object to processing, data correction, and opting out of sharing or selling of data. While initial adoption was driven by compliance requirements, interviewees noted that volumes of DSARs continue to rise, driven by:
-
Additional privacy laws taking effect across states and regions.
-
Increasing internal data complexity (e.g., more systems, apps, and data owners).
-
Growing consumer awareness of privacy rights.
The interviewees’ organizations were enterprise B2C organizations with volumes of requests that are often in the top 4% — or 10,000+ — annually, which were typical characteristics of organizations using Clarip. Interviewees noted the following:
-
The SVP/CISO of a retail company cited that their organization received over 200,000 DSAR requests over a six-year period while the senior legal counsel, data protection officer from a technology services company cited 60,000 DSAR requests over a three-year period.
-
Internal estimates of the cost per DSAR fulfillment varied, with the SVP/CISO from a retail company estimating an internal cost of $500 to fulfill one request.
Modeling and assumptions. The financial model relies on recent Forrester and third‑party industry research to validate DSAR volumes and cost baselines. Based on this information, Forrester assumes the following about the composite organization:
-
The median cost to fulfill a privacy rights request is $101.2
-
The number of DSARs received in Year 1 is 10,000. This value rises to 12,000 in Year 2 and 14,400 in Year three. This is due to 4% of survey respondents reporting that their organizations received 10,000 or more privacy rights requests in the prior 12 months. This grouping best aligns with volumes interviewees cited.3
Risks. Key factors that may influence the magnitude of the realized benefit include:
-
Variation in DSAR volumes. While organizations enterprise B2C organizations using Clarip often experience above‑average DSAR volumes, some may receive fewer requests due to differences in customer scale, industry, or geographic coverage. Lower request volumes would proportionally reduce the avoided cost of manual fulfillment.
-
Differences in internal cost structures. The cost to manually fulfill a DSAR varies by organization based on staffing models, hourly labor rates, and the level of legal or compliance review required. Organizations with lower labor costs or less complex internal processes may see smaller savings per request.
-
Variation in automation levels. Although interviewees reported broad automation across intake, verification, data discovery, and redaction, some organizations may choose to keep certain steps partially manual (e.g., legal sign‑off, sensitive data review). In these cases, realized labor savings may be lower than modeled.
-
System and data complexity differences. Organizations with fewer data sources, less fragmentation, or simpler IT environments may experience smaller efficiency gains relative to organizations with complex, multi‑system data landscapes.
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk adjusted total PV (discounted at 10%) of $2.7 million.
$2.7M
Three-year, risk-adjusted savings from automated DSAR request fulfillment
Savings From Automated DSAR Request Fulfillment
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| A1 | Quantity of DSAR requests received | Composite | 10,000 | 12,000 | 14,400 | |
| A2 | Cost to fulfill each DSAR request manually | Forrester research | $101 | $101 | $101 | |
| At | Savings from automated DSAR request fulfillment | A1*A2 | $1,010,000 | $1,212,000 | $1,454,400 | |
| Risk adjustment | ↓10% | |||||
| Atr | Savings from automated DSAR request fulfillment (risk adjusted) | $909,000 | $1,090,800 | $1,308,960 | ||
| Three-year total: $3,308,760 | Three-year present value: $2,711,292 | |||||
Risk Avoidance From Data-Privacy-Related Regulatory Fines
Evidence and data. Interviewees cited the specific risk of fines from governing bodies if their organizations’ data subject rights policies and procedures failed to comply. Part of the compliance challenge was due to changes in the regulatory landscape, as individual US states and international regions and countries passed versions of compliance laws. As the head of privacy and risk at a travel and hospitality company stated, “It would be easier if there was one federal law, but GDPR and individual states present different standards.” The SVP/CISO at a retail company noted: “You don’t get to choose when a [US state attorney general] comes calling — you can’t negotiate. … The unlock is we’re compliant. We’re not at risk of getting fined to death.”
Interviewees noted that there were a variety of items their organizations could get fined for depending on the particulars of specific legislation. Regulators could find their organizations out of compliance and issue fines for failure to respond to a request, applying the wrong legal standard, excessive or unlawful identity verification, incomplete or misleading responses, no documentation or audit trail, missing statutory deadlines, or ignoring global privacy control (GPC) settings.
This benefit quantifies the potential fines and subsequent savings gained by using Clarip to comply with two prominent standards, GDPR and CCPA. As stated, there are other regulations, depending on where and how an organization does business.
This benefit does not quantify additional downstream costs commonly triggered by noncompliance, including reputational damage, customer churn and lost revenue, increased regulatory scrutiny, internal investigation and remediation costs, outside legal counsel fees, audit and assurance expenses, and sustained diversion of management and engineering resources.
Modeling and assumptions. Forrester assumes the following about the composite organization:
-
The composite averages 291 GDPR fines levied for “Insufficient fulfilment of data subjects’ rights.”4 The mean cost of these fines is $410,000 annually for the composite organization.
-
The estimated cost of a CCPA fine for the composite organization is $632,500 annually. This California fine projection is based on publicly disclosed California Attorney General and CPPA enforcement actions involving consumer‑rights request failures.5 Note that this is median and not mean, as there are significantly fewer fines that have been levied and finalized in California relative to GDPR. California does not publish an official average.
-
There is a 5% annual likelihood that the composite organization would incur one or more material regulatory fines in the absence of Clarip.
Risks. Key factors that may influence the magnitude of the realized benefit include:
-
Regulatory enforcement variability. Enforcement intensity, fine amounts, and remediation requirements vary by jurisdiction and regulatory body. Changes in enforcement priorities or interpretations of privacy legislation could materially affect fine likelihood or magnitude.
-
Assumed probability of fines. The model assumes a 5% annual likelihood of incurring one or more material fines absent Clarip. Organizations with more mature privacy programs, limited geographic exposure, or lower volumes of consumer data subject requests may experience lower risk, while organizations operating across multiple jurisdictions or handling high request volumes may face higher risk.
-
Scope of compliance coverage. This analysis focuses on GDPR and California consumer privacy regulations. Organizations may be subject to additional privacy laws whose enforcement and fine structures differ, potentially increasing or decreasing overall risk exposure.
-
Dependence on process adoption. Realization of avoided fines depends on proper configuration, adoption, and operational use of Clarip to support compliant data subject rights workflows. Inconsistent usage or incomplete integration could reduce the effectiveness of risk mitigation.
-
Exclusion of secondary impacts. This benefit does not account for associated downstream costs triggered by regulatory action, such as reputational damage, customer churn, legal fees, audits, or internal remediation efforts. Inclusion of these impacts would materially increase the total potential financial exposure from noncompliance.
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk adjusted total PV (discounted at 10%) of $117,000.
$1.0M annually
Avoided potential fines from GDPR and CCPA violations
Risk Avoidance From Data-Privacy-Related Regulatory Fines
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| B1 | Mean cost of GDPR fines levied | Research data | $410,000 | $410,000 | $410,000 | |
| B2 | Estimated cost of a CCPA fine | Research data | $632,500 | $632,500 | $632,500 | |
| B3 | Subtotal: Total estimated exposure | B1+B2 | $1,042,500 | $1,042,500 | $1,042,500 | |
| B4 | Probability of a fine before Clarip | Composite | 5% | 5% | 5% | |
| Bt | Risk avoidance from data-privacy-related regulatory fines | B3*B4 | $52,125 | $52,125 | $52,125 | |
| Risk adjustment | ↓10% | |||||
| Btr | Risk avoidance from data-privacy-related regulatory fines (risk-adjusted) | $46,913 | $46,913 | $46,913 | ||
| Three-year total: $140,738 | Three-year present value: $116,664 | |||||
Avoided Costs For Software Deployment And Professional Services
Evidence and data. Interviewees repeatedly emphasized Clarip’s organizational agility and responsive support model, citing mature product functionality combined with less observed organizational complexity than competing data privacy solutions evaluated alongside Clarip.
The interviewees cited Clarip’s straightforward SaaS licensing model as an example of these qualities. With few outlier exceptions, Clarip dedicated engineering and customer success resources to the interviewees’ organizations without adding line items to their contracts for initial deployment, professional services, user education, or consulting. The SaaS licenses were built to meet the size and scale of the deployment with support included. Interviewees noted that compared to alternative enterprise data privacy solutions they evaluated, Clarip eliminated the need to purchase:
-
One-time implementation and deployment services typically charged as a percentage of annual licensing fees.
-
Ongoing consulting, engineering, and professional services often required to maintain, configure, and optimize competing platforms.
This benefit illustrates savings compared to data privacy competitors whose packaging and licensing include more service-centric line-item variables.
Modeling and assumptions. Forrester assumes the following about the composite organization:
-
Clarip’s licensing estimate reflects the Clarip modules deployed and estimated based on the size of the composite organization and its B2C model.
-
Without Clarip, the composite organization would have selected a comparable enterprise data privacy platform that required paid implementation and ongoing professional services.
-
Without Clarip, the composite organization would have paid 45% of a one-time licensing fee for implementation and deployment, which totals $180,000 in Year 1. It also would have paid 75% of the value of annual licensing fees on consulting, engineering, and professional services each year, which totals $300,000 annually.
Risks. Key factors that may influence the magnitude of the realized benefit include:
-
Complex or atypical deployment requirements. Organizations with highly customized data environments, legacy system integrations, or unique regulatory requirements may still require supplemental paid services not included in standard Clarip licensing.
-
Higher reliance on internal resources. While Clarip includes deployment support within its SaaS licenses, realizing the full value of this benefit assumes the availability of internal IT, legal, and privacy teams to participate in implementation and configuration activities.
-
Variability in alternative vendor pricing models. Actual avoided costs depend on which competing data privacy platform an organization would have selected. Some alternatives may offer bundled services or discounted professional services that reduce the differential modeled in this benefit.
Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk adjusted total PV (discounted at 10%) of $819,000.
75%
Avoided annual support costs with Clarip licensing model
Avoided Costs For Software Deployment And Professional Services
| Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | |
|---|---|---|---|---|---|---|
| C1 | One-time implementation and deployment fee | Composite | $180,000 | |||
| C2 | Consulting and professional services costs | Composite | $300,000 | $300,000 | $300,000 | |
| Ct | Avoided costs for software deployment and professional services | C1+C2 | $480,000 | $300,000 | $300,000 | |
| Risk adjustment | ↓10% | |||||
| Ctr | Avoided costs for software deployment and professional services (risk-adjusted) | $432,000 | $270,000 | $270,000 | ||
| Three-year total: $972,000 | Three-year present value: $818,723 | |||||
Unquantified Benefits
Interviewees mentioned the following additional benefits that their organizations experienced but were not able to quantify:
-
Reduced risk of revenue loss by preventing data leakage. Interviewees noted that Clarip’s automated web scanning reduced the risk of revenue loss and reputational damage by providing continuous visibility into how data is accessed and shared across web properties. The platform monitored cookies, trackers, pixels, and other data access points, allowing interviewees’ organizations to quickly identify unexpected or unauthorized changes.
Interviewees highlighted that data risks often stemmed not only from malicious actors, but also from internal teams making changes without fully understanding downstream privacy implications. Clarip’s web scanning portal enabled the interviewees’ organizations to detect issues early, reducing exposure before it escalated into compliance violations, customer trust issues, or revenue-impacting disruptions.
-
Potential uplift in conversion rates through improved consent management. The interviewees’ organizations face increasing complexity in how they collect, store, and act on user consent. Interviewees reported multiple benefits related to using Clarip for consent management, including regulatory compliance and audit readiness, operational efficiency, reduced legal risk, and improved customer experience. They discussed the UI experience for customers and prospects when managing consent on branded websites. Ultimately, the interviewees cited the potential for increased response rates and marketing-generated revenue via the segmentation options available in the data collected via the Clarip platform.
-
Improved data governance efficiency through Clarip automated data mapping. Interviewees described data mapping and governance as essential to privacy compliance but increasingly difficult to maintain through manual, ad hoc, or point‑in‑time approaches. Interviewees’ organizations had limited initial visibility into where personal data resided, how it flowed across systems, and how third parties accessed or modified data, particularly in environments shaped by acquisitions, decentralized teams, and frequently changing web technologies.
Clarip enabled the interviewees’ organizations to shift from static data inventories to continuous governance by providing ongoing visibility into real‑world data collection and sharing activity. Interviewees emphasized that this continuous approach made governance more practical and scalable, enabling their teams to maintain oversight without relying on manual updates or large, infrequent audit efforts.
The senior legal counsel, data protection officer at a technology services company cited an internal analysis that estimated an ROI of $40 million in its investment in Clarip automated web scanning encompassing the manual effort it would take to scan 430 databases across 77 servers in four data centers. -
Greater confidence in ongoing regulatory compliance related to data privacy. Interviewees cited Clarip’s exclusive focus on data privacy and deep institutional knowledge as a key source of confidence in maintaining compliance over time. Prior to adopting Clarip, many interviewees said their organizations were potentially out of compliance with specific regulations and lacked the internal expertise or resources needed to keep pace with regulatory change.
Interviewees described Clarip as providing both the technology and expertise required to operationalize privacy requirements consistently across teams and digital properties. They also highlighted the platform’s ability to adapt to evolving interpretations of regulations and emerging industry practices, reducing their reliance on reactive, manual processes. -
Operational efficiency through dedicated and consistent customer support. Interviewees consistently highlighted the quality and responsiveness of Clarip’s customer support as a meaningful operational benefit. They described direct access to knowledgeable engineers who were empowered to diagnose issues, identify root causes, and deliver timely solutions.
Interviewees contrasted Clarip’s support model with larger vendors that relied on formal escalation paths or deferred issues to product roadmaps. Clarip’s ability to respond quickly across multiple brands and complex system environments helped the interviewees’ organizations’ teams resolve issues faster and maintain momentum in a rapidly changing privacy landscape. This hands‑on support reduced internal effort, minimized delays, and allowed their teams to focus on higher‑value initiatives rather than troubleshooting platform limitations.
Flexibility
The value of flexibility is unique to each customer. There are multiple scenarios in which a customer might implement Clarip and later realize additional uses and business opportunities, including:
-
Expansion from limited module deployment to enterprisewide adoption. Interviewees commonly described beginning with a focused Clarip deployment, addressing one use case/business problem and a singular deployment. A common long-term outcome was customer expansion to a multimodule Clarip deployment. Interviewees cited the relative ease of switching privacy vendors and Clarip’s operational agility when explaining expansion scenarios.
-
Expansion of privacy automation across business units and functions. Interviewees noted there were several scenarios that could lead to the vertical expansion of Clarip software, including expansion across siloed business units or the result of M&A activity. Because data privacy often involved dependencies across departments, including the privacy team, security, legal and compliance, web development, marketing, etc., the expansion of Clarip’s automation was viewed as a solution to scale without adding headcount for the interviewees’ organizations and reduced reliance on manual processes.
-
Regulatory agility and future readiness. Interviewees also expressed confidence that Clarip could adapt to future regulatory and technical changes. They emphasized Clarip’s deep organizational expertise in data privacy, including leadership awareness of evolving state‑ and global‑level regulations, emerging AI‑related privacy risks, and changes in browser and platform behavior. This expertise — combined with ongoing platform enhancements — gave the interviewees’ organizations confidence that their privacy programs could remain compliant and operationally efficient as requirements continue to evolve.
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 | Software license fees | $0 | $440,000 | $440,000 | $440,000 | $1,320,000 | $1,094,215 |
|
Total costs (risk-adjusted) |
$0 | $440,000 | $440,000 | $440,000 | $1,320,000 | $1,094,215 |
Software License Fees
Evidence and data. Interviewees said their companies paid an annual license fee for the Clarip platform. The specific fee assigned depended on various factors, including the volume of customer records, size of website presence, size and volume of databases and systems accessed, and projected volume of data rights requests.
Modeling and assumptions. Based on interviews and Clarip’s assessment of the needs of the composite organization, Forrester assumes the cost of annual licensing fees for the composite organization is $400,000 annually.
Risks. This cost varies across organizations based on:
-
The quantity and size of websites, systems, and databases monitored.
-
Annual growth of DSAR requests.
-
Specialized engineering projects that require professional services.
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 $1.1 million.
Software license fees
| Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 |
|---|---|---|---|---|---|---|
| D1 | License fees | Composite | $400,000 | $400,000 | $400,000 | |
| D2 | Units | Composite | 1 | 1 | 1 | |
| Dt | Software license fees | D1*D2 | $0 | $400,000 | $400,000 | $400,000 |
| Risk adjustment | ↑10% | |||||
| Dtr | Software license fees (risk-adjusted) | $0 | $440,000 | $440,000 | $440,000 | |
| Three-year total: $1,320,000 | Three-year present value: $1,094,215 | |||||
Financial Summary
Consolidated Three-Year, Risk-Adjusted Metrics
Cash Flow Chart (Risk-Adjusted)
Cash Flow Analysis (Risk-Adjusted)
| Initial | Year 1 | Year 2 | Year 3 | Total | Present Value | |
|---|---|---|---|---|---|---|
| Total costs | $0 | ($440,000) | ($440,000) | ($440,000) | ($1,320,000) | ($1,094,215) |
| Total benefits | $0 | $1,387,913 | $1,407,713 | $1,625,873 | $4,421,498 | $3,646,679 |
| Net benefits | $0 | $947,913 | $967,713 | $1,185,873 | $3,101,498 | $2,552,464 |
| ROI | 233% |
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 Clarip.
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 Clarip can have on an organization.
Due Diligence
Interviewed Clarip stakeholders and Forrester analysts to gather data relative to Clarip Data Privacy.
Interviews
Interviewed four decision-makers at organizations using Clarip 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`
Endnote
1 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.
2 Source: The State Of Privacy, 2025, Forrester Research, Inc., June 12, 2025.
3 Source: GDPR Enforcement Tracker, CMS Law, May 2026.
4 Source: Privacy Enforcement Actions, State of California Department of Justice.
Disclosures
Readers should be aware of the following:
This study is commissioned by Clarip 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 Clarip Data Privacy. Clarip 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.
Clarip provided the customer names for the interviews but did not participate in the interviews.
Consulting Team:
Rick Nendza
Rick Cavallaro
Published
May 2026