April 2021
Zeta provides data, technology, and services that help companies more effectively market to their customers. Zeta commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential value enterprises may realize by deploying Zeta's data product. The purpose of this study is to provide readers with a framework to evaluate the potential financial benefits of Zeta Global on their organizations.
To better understand the benefits and risks associated with this investment, Forrester interviewed four decision-makers at companies with experience using Zeta’s data.
Prior to engaging with Zeta, the interviewees’ organizations struggled with reaching certain markets, could not find affordable data and geolocation data to better target their marketing campaigns, and were concerned about data deprecation due to reduced access to cookie and mobile data and new consumer privacy legislation.
The organizations decided to engage Zeta to improve their marketing efficiency, gain a strong marketing partner, and implement Zeta’s data quickly into campaigns. This resulted in significant benefits, as detailed in this case study. Specifically, with Zeta, organizations reduced customer acquisition costs (CAC) and increased revenue.
For the purposes of this study, Forrester calculated potential benefits for three types of sample companies.
Quantified benefits. Risk-adjusted present value (PV) quantified benefits include:
Location-relevant consumer services (e.g., home HVAC and other professional services, local events, and moving services) can take advantage of Zeta’s geolocation data and audience segments to improve marketing spend efficiency, resulting in a significant reduction to CAC.
Similarly, self-service online product companies (e.g., online retail, games, and financial products) can take advantage of Zeta’s audience segments to improve marketing spend efficiency, resulting in a significant reduction to CAC.
Companies with physical retail spaces (e.g., department stores, convenience stores, and restaurants) can take advantage of Zeta’s geolocation data and audience segments to improve marketing spend efficiency, resulting in an increase in revenue driven by increased footfall.
Unquantified benefits. Benefits that are not quantified for this study include:
Interviewees mentioned that Zeta performed better than their alternative sources of data and consistently met threshold requirements for viewability, brand safety, and invalid traffic rates.
Interviewees noted that Zeta is transparent in how it derives its data and what drives specific signals. This gives clients confidence in the inputs when they utilize Zeta’s data within marketing campaigns.
Interviewees noted that implementing Zeta data is an efficient and quick process. One interviewee stated that buying and implementing Zeta products is like “flipping a switch.”
Zeta’s data allowed companies to target segments of the market they did not have access to previously. In addition to using that capability to improve marketing spend efficiency, it also allowed them to test product and market intelligence in new ways. One interviewee noted that the company used Zeta in a campaign targeting a new audience segment; while the campaign itself wasn’t successful, it provided valuable insight in terms of how consumers viewed the product compared to competitors. This also allowed the firm to better understand its target demographic and improve its marketing models.
The objective of the framework is to identify the benefit and risk factors that affect the investment decision. Forrester took a multistep approach to evaluate the impact that Zeta can have on an organization.
Interviewed Zeta stakeholders and Forrester analysts to gather data relative to Zeta.
Interviewed four decision-makers at organizations using Zeta to obtain data with respect to benefits and risks.
Evaluated sample organizations based on characteristics of the interviewed organizations.
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 interviewed organizations.
Employed fundamental elements of TEI in modeling the investment impact: benefits, 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.
Readers should be aware of the following:
This study is commissioned by Zeta 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 Zeta.
Zeta 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.
Zeta provided the customer names for the interviews but did not participate in the interviews.
Industry | Interviewee | Annual revenue | Number of employees |
---|---|---|---|
Marketing and advertising | Chief revenue officer | $20 million | 20 |
Fintech | Marketing analytics manager | $1 billion | 5,000 |
Marketing and advertising | Associate media director | $100 million | 120 |
Marketing and advertising | Associate media director | $100 million | 100 |
The interviewees reported their organizations struggled with common challenges before their investments in Zeta, including:
Interviewees noted that they had significant challenges reaching certain markets before Zeta. They didn’t have the appropriate consumer data to target the audience segments they were interested in.
Some interviewees mentioned that they never pursued using geolocation data for their marketing campaigns before, since the price points were too high.
Interviewees noted that marketers will need to pursue strategies that are less dependent on third-party cookies and mobile identifiers as browsers and operating systems increasingly restrict access to consumer data. A key strength of Zeta is that its audience data is based primarily on first-party data such as email addresses.
Interviewees noted several reasons for investing in Zeta, including:
Zeta consistently performs at or near the top in terms of marketing spend efficiency with its use of data, geolocation data, and audience segments.
Interviewees noted that, in addition to its data, they received access to Zeta’s experts and thought leaders, along with a flexible and responsive partner who valued the relationship.
Interviewees noted that the implementation process with Zeta was simple, and they were able to get to market in only a few weeks.
Based on the interviews, Forrester modeled three types of companies that can see benefits related to implementing Zeta’s data into their marketing campaigns. For this study, benefits are calculated for:
Interviewees noted that using data provided by Zeta allowed them to significantly decrease their customer acquisition costs. Specifically, location-relevant consumer services (e.g., home HVAC and other professional services, local events, and moving services) can take advantage of Zeta’s geolocation data and audience segments to improve marketing spend efficiency, resulting in a significant reduction to CAC.
The modeling for the sample consumer services company assumes a CAC of $150 prior to using Zeta’s data. In marketing campaigns designed around Zeta’s data, the sample consumer services company reduces its CAC down to $75. As the company increases its use of Zeta’s data across more campaigns, the total cost savings of customers acquired adds up over three years.
This benefit can vary due to uncertainty related to:
To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $1.1 million.
Ref | Metric | Calculation | Year 1 | Year 2 | Year 3 | |
---|---|---|---|---|---|---|
A1 | CAC without Zeta | $150 | $150 | $150 | ||
A2 | CAC with Zeta | $75 | $75 | $75 | ||
A3 | Customers acquired via Zeta campaigns | 3,000 | 6,000 | 12,000 | ||
At | Reduced CAC for consumer services company | (A1-A2)*A3 | $225,000 | $450,000 | $900,000 | |
Risk-adjusted | ↓10% | |||||
Atr | Reduced CAC for consumer services company (risk-adjusted) | $202,500 | $405,000 | $810,000 | ||
Three-year total: $1,417,500 | Three-year present value: $1,127,367 | |||||
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Interviewees noted that using data provided by Zeta allowed them to significantly decrease their customer acquisition costs. Specifically, self-service online product companies (e.g., online retail, games, and financial products) can take advantage of Zeta’s audience segments to improve marketing spend efficiency, resulting in a significant reduction to CAC.
The modeling for the sample self-service online product company assumes a CAC of $300 prior to using Zeta’s data. In marketing campaigns designed around Zeta’s data, the sample self-service online product company reduces its CAC down to $150. As the company increases its use of Zeta’s data across more campaigns, the total cost savings of customers acquired adds up over three years.
This benefit can vary due to uncertainty related to:
Baseline CAC prior to Zeta.
How Zeta’s data is incorporated into campaigns.
Targeting the right customer segments during campaigns.
To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk- adjusted total PV (discounted at 10%) of $2.1 million.
Ref. | Metric | Calculation | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
B1 | CAC without Zeta | $300 | $300 | $300 | |||
B2 | CAC with Zeta | $150 | $150 | $150 | |||
B3 | Customers acquired via Zeta campaigns | 1,500 | 6,000 | 12,000 | |||
Bt | Reduced CAC for self-service online product company | (B1-B2)*B3 | $225,0000 | $900,000 | $1,800,000 | ||
Risk adjustment | ↓10% | ||||||
Btr | Reduced CAC for self-service online product company (risk-adjusted) | $202,500 | $810,000 | $1,620,000 | |||
Three-year total: $2,632,500 | Three-year present value: $2,070,642 | ||||||
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Interviewees at companies with a brick-and-mortar presence noted that using data provided by Zeta allowed them to appreciably increase their same-store revenue. Specifically, companies with physical retail spaces (e.g., department stores, convenience stores, and restaurants) can take advantage of Zeta’s geolocation data and audience segments to improve marketing spend efficiency, resulting in an increase in revenue driven by increased foot traffic.
The modeling for the sample company with physical retail spaces assumes an annual store revenue of $4 million that increases by 5% when using Zeta’s data as part of its marketing campaigns. The sample company pilots the use of Zeta’s data across 10 stores the first year and, upon seeing successful results, increases the use of Zeta’s data to 100 stores in Year 2 and 300 stores in Year 3.
This benefit can vary due to uncertainty related to:
Baseline revenue prior to Zeta.
How Zeta’s data is incorporated into campaigns.
Targeting the right customer segments during campaigns.
To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk- adjusted total PV (discounted at 10%) of $2.9 million.
Ref. | Metric | Calculation | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
C1 | Retail store annual revenue | $4,000,000 | $4,000,000 | $4,000,000 | |||
C2 | Number of retail stores using Zeta | 10 | 100 | 300 | |||
C3 | Same-store revenue lift from Zeta campaigns | 5% | 5% | 5% | |||
C4 | Subtotal: Increased revenue per retail store with Zeta | C1*C3 | $200,000 | $200,000 | $200,000 | ||
C5 | Subtotal: Increased revenue across retail stores using Zeta | C2*C4 | $2,000,0000 | $20,000,000 | $60,000,000 | ||
Ct | Increased revenue and profit for physical retail spaces | C1*C2*C3*C4 | $100,000 | $1,000,000 | $3,000,000 | ||
Risk adjustment | ↓10% | ||||||
Ctr | Increased revenue and profit for physical retail spaces (risk-adjusted) | $90,000 | $900,000 | $2,700,000 | |||
Three-year total: $3,690,000 | Three-year present value: $2,854,170 | ||||||
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Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists vendors in communicating the value proposition of their products and services to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of IT initiatives to both senior management and other key business stakeholders.
Benefits represent the value delivered to the business by the product. The TEI methodology places equal weight on the measure of benefits and the measure of costs, allowing for a full examination of the effect of the technology on the entire organization.
Costs consider all expenses necessary to deliver the proposed value, or benefits, of the product. The cost category within TEI captures incremental costs over the existing environment for ongoing costs associated with the solution.
Flexibility represents the strategic value that can be obtained for some future additional investment building on top of the initial investment already made. Having the ability to capture that benefit has a PV that can be estimated.
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.”
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.