September 2022
Today, marketers have more customer insights to work with than ever before. However, a Forrester global survey of B2C marketing decision-makers found the top challenge preventing organizations from using measurement and analytics was that insights and recommendations were too complicated to implement (29%).1 For marketers with this challenge, a cross-channel marketing solution that also measures performance and provides personalization and optimization recommendations is critical.
Mapp Cloud is a cross-channel marketing solution that helps brands orchestrate customer journeys based on real-time customer data and insights, all within one platform. Mapp Cloud consists of these core components:
Mapp commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Mapp Cloud. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of Mapp Cloud to their organizations.2
To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed five representatives at four organizations with experience using Mapp Cloud. For the purposes of this study, Forrester aggregated the interviewees’ experiences and combined the results into a single composite organization.
Prior to using Mapp Cloud’s services, these interviewees noted how their organizations struggled to incorporate customer insights into their marketing approach. Their marketing solutions either didn’t support their data platforms or had limited integration with them, which limited the personalization of messaging. Marketing efforts weren’t dynamic either, as marketers adopted point solutions to manage different touchpoints across individual digital channels versus cross-channel orchestration. These challenges held back customer engagement and business growth.
After investing in Mapp Cloud, the interviewees automated personalized experiences using workflows triggered by customer interactions. They improved reach and deliverability of messages, while increasing customer engagement, conversions, and sales due to better cross-channel consistency. Interviewees further received real-time insights and suggestions to improve marketing performance that they could incorporate into their maturing cross-channel marketing approach. All of this was accomplished while increasing employee productivity as Mapp Cloud streamlined and strengthened marketing efforts.
Quantified benefits. Three-year, risk-adjusted present value (PV) quantified benefits for the composite organization include:
Mapp Cloud improves customer identification and deliverability of messaging through Intelligence’s analysis of customer engagement and clear recommendations for improvement. Since using Mapp Cloud, the composite organization identifies 250,000 additional customers it hadn’t previously marketed to digitally in Year 1 alone. Meanwhile, deliverability of messages improves by 1.5%, resulting in millions of more messages reaching customers annually and not their junk or spam box.
Mapp Cloud enables marketers to improve engagement through better customer segmentation and performance analysis that informs revisions to marketing materials to optimize response rates. The composite organization increases engagement with messages, either clicks or views, and drives nearly $6 million in additional revenue in Year 1, or $354,000 in risk-adjusted operating profit. These results nearly double by Year 3.
Mapp Cloud ensures marketers achieve additional customer conversions by helping them grow engagement with more personalized messaging. Marketers utilize frequent recency, frequency, and monetary (RFM) testing and analysis via Mapp Cloud to continuously improve performance results. The composite organization realizes almost $24 million in additional revenue across three years with Mapp Cloud and $1.1 million in risk-adjusted operating profit.
The composite organization sees customer lifetime value increase as marketers stop over-messaging customers and send relevant messages to customer segments across channels. Customers are more likely to either buy more items at a time or spend on higher ticket items. For the composite organization, the average order value rises from $60 to $66 by Year 3, totaling millions in additional revenue.
Easy-to-access insights from Mapp Intelligence’s dashboards help marketers accelerate decision-making and avoid time spent reviewing data. Key improvements include faster iteration of campaigns and simplified creation of customer segments. Streamlining of work efforts helps the composite organization recoup 2,184 hours of productivity in Year 1 and 3,640 hours by Year 3.
Unquantified benefits. Benefits that provide value for the composite organization but are not quantified in this study include:
Insights collected from Mapp Intelligence were not only applied to marketing messaging delivered via the solution, but also to marketing planning across teams. By having a better understanding of customers, marketers created more relevant content for their websites and tailored creative/content choices to match customers’ interests.
With Mapp Cloud, marketers diversified their marketing in several ways: multiple channels for campaigns, synchronized customer profiles with advertising messaging and website recommendations, and channel-specific automated messaging workflows. This dynamic approach ensured that customers could interact seamlessly with a variety of touchpoints along their purchase journey.
Teams leveraging Mapp Cloud became more mature in recognizing the value of personalization. They built more complex customer segments and adopted a more granular focus with their targeting to reach hard-to-get customers.
Organizations leveraging Mapp Cloud offloaded legacy solutions that supported channel messaging and data analysis. These incremental savings helped free up additional budget to go toward the investment in Mapp Cloud.
Costs. Three-year, risk-adjusted PV costs for the composite organization include:
Costs for Mapp Cloud are based around the number of services leveraged, scale of deployment, and amount of support hours from customer success teams needed.
A small team of marketers and IT work with Mapp Cloud to deploy the solution in a matter of weeks. Training takes 20 hours of core users’ time and only four hours for users leveraging it for reports and analysis.
The representative interviews and financial analysis found that a composite organization experiences benefits of $4.2 million over three years versus costs of $659,000, adding up to a net present value (NPV) of $3.6 million and an ROI of 540%.
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 Mapp Cloud can have on an organization.
Interviewed Mapp stakeholders and Forrester analysts to gather data relative to Mapp Cloud.
Interviewed five representatives at four organizations using Mapp Cloud to obtain data with respect to costs, benefits, and risks.
Designed a composite organization based on characteristics of the interviewees’ 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 interviewees.
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.
Readers should be aware of the following
This study is commissioned by Mapp 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 Mapp Cloud.
Mapp 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.
Mapp provided the customer names for the interviews but did not participate in the interviews.
Role | Industry | Region | Number of customers receiving marketing |
---|---|---|---|
Digital marketing operation manager | Retail | Headquartered in Northern Europe | 4 million |
Email marketing automation specialist | Retail | Headquartered in Northern Europe | 4 million |
Paid and organic performance marketing executive | Retail | Headquartered in Western Europe | 7 million |
Omnichannel director | CPG (apparel) | Headquartered in Western Europe | 600,000 |
E-commerce marketing director | CPG (nutrition) | Headquartered in Central Europe | 3 million |
Prior to adopting Mapp Cloud, interviewees noted their organizations faced several challenges with their digital marketing efforts, including the following:
Marketing teams collected large amounts of data from online purchases; however, they lacked the means to identify customers and connect purchases to marketing efforts. Most of the data collected was unorganized because their legacy marketing solutions either didn’t support or had limited integration with their customer data platforms (CDPs), customer relationship management (CRM) systems, and data warehouses. Marketers were unable to fully analyze and evaluate marketing and product affinities to create accurate customer profiles based on their shopping behavior. These limitations resulted in nonpersonalized, less relevant marketing messaging and unrealized business opportunities.
Interviewees’ previous approaches to digital marketing involved leveraging individual tools with their own silos of customer data to send out marketing messaging across individual channels like email or mobile. This approach made for fractured marketing outreach where marketers didn’t have oversight of what other colleagues were sending out through their tools, leading to customers receiving repetitious messages with inconsistent, nonpersonalized content across different channels. Over-messaging customers made it difficult to accurately track marketing performance. For several interviewees, messaging delivery was not automated to respond to customer interactions like browsing behavior or abandoned carts, leading to missed opportunities in customer follow-up.
Marketing team bandwidth was limited as employees spent hours poring over data to manually create segmented customer lists that were prone to human error. These customer lists were then formatted for entry to their marketing technology (martech) solutions to ensure messages reached the right customers. With so much time dedicated to manual processes, team members were unable to invest time in evaluating their marketing efforts. Meanwhile, management of multiple tools that required complex integrations and maintenance held back teams’ ability to build automated end-to-end customer journeys at scale.
The interviewees’ organizations searched for a solution that could:
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 experiences of the five interviewees at four organizations, and it is used to present the aggregate financial analysis in the next section. The composite organization has the following characteristics:
The composite organization is a retailer headquartered in Europe with physical and digital storefronts and international shipping for products. Annual revenues total $500 million and there are 2.5 million customers receiving marketing messaging. There are 2,000 employees at the organization, of which five employees leverage Mapp Cloud on a daily basis, while the full-time equivalent of two employees leverage Mapp Cloud specifically for reports and insights.
Prior to adopting Mapp Cloud, the retailer uses a digital marketing solution with limited automation capabilities that doesn’t support multiple channels for outreach. An end-to-end customer journey is not in place and minimal customers insights are derived from the solution.
After executives choose Mapp Cloud as their new martech solution, a small team of IT and marketing employees work with Mapp to integrate it with their data systems and import customer lists. Implementation takes under one month to resolve. Following implementation, marketers run small pilot marketing campaigns over the first three months across a single channel or with a small number of customers to test automation capabilities, refine messaging templates, and begin reviewing insights.
After the piloting phase, teams expand the number of campaigns and channels with which they send messaging through Mapp Cloud as they phase out their prior marketing solution. Over time, marketing efforts are further refined as teams collect and implement insights.
Ref. | Benefit | Year 1 | Year 2 | Year 3 | Total | Present Value |
---|---|---|---|---|---|---|
Atr | Value from increased reach of messaging | $225,228 | $358,790 | $435,454 | $1,019,471 | $828,436 |
Btr | Value from increased engagement from more personalized messaging | $354,013 | $509,404 | $687,901 | $1,551,318 | $1,259,656 |
Ctr | Value from increased conversions driven by more engaged customers | $271,409 | $458,463 | $687,900 | $1,417,772 | $1,142,460 |
Dtr | Greater customer lifetime value | $149,276 | $263,617 | $412,741 | $825,633 | $663,668 |
Etr | Productivity value with Mapp Cloud | $98,280 | $131,040 | $163,800 | $393,120 | $320,708 |
Total benefits (risk-adjusted) | $1,098,206 | $1,721,314 | $2,387,795 | $5,207,315 | $4,214,928 |
Since adopting Mapp Cloud, interviewees improved reach of messaging on two fronts: 1) identification of customers and 2) deliverability of messaging.
Through Mapp Intelligence, marketing teams mapped customer behavior across channels through clicks and tags across website pages to emails. Mapp’s seamless integration with existing data repositories enabled marketers to connect shopper browsing and clicks to known customer profiles or identify previously unidentified customers who visited their site.
With improved identification, marketers increased the number of customers that received marketing messaging. They automated outreach to customers based on their recent engagement or shopping activity and personalized offers to highlight recently viewed or related products, alongside specific customer details like name or location.
Interviewees ensured that more messages were delivered to customers’ inboxes and bypassed spam or junk folders. To accomplish this, marketers incorporated more specific customer details tied to recent shopping behavior and optimized the frequency of messages sent out to not over-message customers. Interviewees also relied on Mapp’s deliverability services that provided alerts when emails bounced and changes needed to be made to messaging. One interviewee at a retailer shared that deliverability of emails was in the 98% to 99% range.
Meanwhile, reaching customers through SMS or a mobile push notification greatly reduced issues associated with email bounce rates. With improved deliverability of messages across channels, marketers generated more opportunities for conversions.
For the composite organization, Forrester assumes:
Differences in organizations that may impact the benefit results include:
To account for these risks, Forrester adjusted this benefit downward by 15%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $828,000.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
A1 | Number of customers identified for receiving marketing messaging | Composite | 2,500,000 | 2,812,500 | 3,023,438 | ||
A2 | Increase in customer identification with Mapp Cloud | Interviews | 10% | 5% | 5% | ||
A3 | Total additional customers identified | (A1*A2) | 250,000 | 140,625 | 151,172 | ||
A4 | Number of messages delivered to additional customers annually | Y1: A3*2.3 messages per week*52 weeks Y2 and Y3: (A3*2.3 messages per week*52 weeks)+A4PY |
29,900,000 | 46,718,750 | 55,292,671 | ||
A5 | Engagement rate before Mapp Cloud | Interviews | 10% | 10% | 10% | ||
A6 | Conversion rate before Mapp Cloud | Interviews | 2% | 2% | 2% | ||
A7 | Average order value before Mapp Cloud | Interviews | $60 | $60 | $60 | ||
A8 | Subtotal: Additional revenue from more identified customers | A4*A5*A6*A7 | $3,588,000 | $5,606,250 | $6,635,121 | ||
A9 | Improvement in message delivery with Mapp Cloud | Interviews | 0.5% | 1.0% | 1.5% | ||
A10 | Total additional number of messages delivered to customers annually from improved deliverability with Mapp Cloud | (A1+A3)*2.3 messages per week*52 weeks*A9 | 1,644,500 | 3,531,938 | 5,695,250 | ||
A11 | Subtotal: Additional revenue from improved deliverability with Mapp Cloud | A10*A5*A6*A7 | $197,340 | $423,833 | $683,430 | ||
A12 | Operating margin | TEI standard | 7% | 7% | 7% | ||
At | Value from increased reach of messaging | (A8+A11)*A12 | $264,974 | $422,106 | $512,299 | ||
Risk adjustment | ↓15% | ||||||
Atr | Value from increased reach of messaging (risk-adjusted) | $225,228 | $358,790 | $435,454 | |||
Three-year total: $1,019,471 | Three-year present value: $828,436 | ||||||
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Alongside extending the reach of marketing messaging, interviewees recognized tangible improvements in engagement with more personalized messaging.
Interviewees relied on Mapp Cloud to build customer segments and audiences, incorporating data from freshly integrated data silos. They also ran regular testing across channels to see what types of messaging or templates were engaging most with specific segments and markets, as well as assess where customer fallout was mostly likely to occur.
These insights shaped more dynamic and relevant marketing messaging for customers across channels by determining when and where they were most likely to engage. An interviewee at a consumer packaged goods (CPG) company shared that automated, personalized emails with new templates through Mapp helped their organization increase email open rates from 20% to 45%. Further underscoring the value of dynamic messaging, a retailer cited a 5% click rate on newsletters and a click rate of over 12% on automated emails.
Mapp Cloud enabled users to maintain oversight of automated email delivery workflows for specific audiences and manage channels used for outreach. This visibility reduced the chance of overlapping messaging with other teams and over-messaging to customers in general. Overlapping messaging became a rare occurrence and teams worked in alignment to create complete customer journeys with a variety of touchpoints that maintained customer engagement.
For the composite organization, Forrester assumes:
Differences in organizations that may impact the benefit results include:
To account for these risks, Forrester adjusted this benefit downward by 15%, yielding a three-year, risk-adjusted total PV of $1.26 million.
Ref | Metric | Source | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
B1 | Total number of messages delivered to customers annually with Mapp Cloud | (A1+A3)*2.3*52+A10 | 330,544,500 | 356,725,688 | 385,378,606 | ||
B2 | Engagement rate before Mapp Cloud | A7 | 10% | 10% | 10% | ||
B3 | Improvement in engagement rate since adopting Mapp Cloud | Interviews | 15.0% | 20.0% | 25.0% | ||
B4 | Engagement rate with Mapp Cloud | B2*(1+B3) | 11.5% | 12.0% | 12.5% | ||
B5 | Additional engagement on messages | B1*(B4-B2) | 4,958,168 | 7,134,514 | 9,634,465 | ||
B6 | Conversion rate before Mapp Cloud | A8 | 2% | 2% | 2% | ||
B7 | Average order value before Mapp Cloud | A7 | $60 | $60 | $60 | ||
B8 | Subtotal: Revenue from additional engagement | B5*B6*B7 | $5,949,802 | $8,561,417 | $11,561,358 | ||
B9 | Operating margin | TEI standard | 7% | 7% | 7% | ||
Bt | Value from increased engagement from more personalized messaging | B8*B9*B10 | $416,486 | $599,299 | $809,295 | ||
Risk adjustment | ↓15% | ||||||
Btr | Value from increased engagement from more personalized messaging (risk-adjusted) | $354,013 | $509,404 | $687,901 | |||
Three-year total: $1,551,318 | Three-year present value: $1,259,656 | ||||||
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Interviewees noted that, as Mapp Cloud users became wiser in ways with which to engage customers, they identified more opportunities for calls to action to drive conversions. For example, more timely, personalized, and automated messaging after customers abandoned a cart helped encourage them to reconsider and complete a purchase. An interviewee at a brand cited a 12% to 15% improvement in successful conversions from cart abandonment messaging with Mapp Cloud.
Marketers regularly tested placement of click-to-purchase buttons in emails and web pages to assess how to best encourage customers along to the end of purchase funnel. In addition, marketers reviewed shopper behavior to identify customers that were likely to purchase an item and specifically target them to make a purchase.
Interviewees noted that users also leveraged Mapp Cloud for digital advertising efforts because it empowered them to incorporate first-party data for real-time audiences across all major ad networks. Mapp users could review performance through real-time dashboards and adjust messaging as needed.
The e-commerce marketing director at a CPG nutrition company cited insights from these dashboards as critical for maintaining a steady cost per order (CPO). Specifically, if paid advertising no longer appeared effective with a customer, marketers could then engage the customer with emails or SMS to mitigate their spending on ineffective display ads. This strategy helped maximize the selling opportunity and reached a conversion rate of 3.5% with a best-case scenario of over 6%.
For the composite organization, Forrester assumes:
Differences in organizations that may impact the benefit results include:
To account for these risks, Forrester adjusted this benefit downward by 15%, yielding a three-year, risk-adjusted total PV of $1.14 million.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
C1 | Total number of messages delivered to customers annually with Mapp Cloud | B1 | 330,544,500 | 356,725,688 | 385,378,606 | ||
C2 | Engagement rate with Mapp Cloud | B4 | 11.5% | 12.0% | 12.5% | ||
C3 | Conversion rate before Mapp Cloud | A8 | 2.0% | 2.0% | 2.0% | ||
C4 | Improvement in conversion rate with Mapp Cloud | Interviews | 10.0% | 15.0% | 20.0% | ||
C5 | Conversion rate with Mapp Cloud | C3*(1+C4) | 2.2% | 2.3% | 2.4% | ||
C6 | Additional conversions | C1*C4*(C5-C4) | 76,025 | 128,421 | 192,689 | ||
C7 | Average order value before Mapp Cloud | A7 | $60 | $60 | $60 | ||
C8 | Subtotal: Revenue from additional conversions | C6*C7 | $4,561,500 | $7,705,260 | $11,561,340 | ||
C9 | Operating margin | TEI standard | 7% | 7% | 7% | ||
Ct | Value from increased conversions driven by more engaged customers | C8*C9 | $319,305 | $539,368 | $809,294 | ||
Risk adjustment | ↓15% | ||||||
Ctr | Value from increased conversions driven by more engaged customers (risk-adjusted) | $271,409 | $458,463 | $687,900 | |||
Three-year total: $1,417,772 | Three-year present value: $1,142,460 | ||||||
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As marketers became more mindful of their interactions with customers, they adjusted the frequency of marketing messaging and delivery channels used to reach them on their own terms. Adjustments like these made for positive customer experiences, which led to customers making more purchases or spending more on items, increasing customer lifetime value.
Interviewees’ organizations became more customer-centric with marketing by creating specific segments for loyal customers to send them alerts about sales or exclusive deals, helping to make customers feel more appreciated and engaged. Similarly, the interviewees’ organizations created customer segments in Mapp Cloud based on the timeframe since previous engagement. These customers received deal offers to come back or the number of messages delivered was adjusted downward to gently remind them about services and products.
Since working with Mapp, one retailer saw a 25% increase in e-commerce sales from automated email workflows alone. Meanwhile, an interviewee from a CPG organization reported a decrease in one-time customers from 75% to 63%, while 30% of buyers made between four to five purchases across an 18-month period.
Interviewees expected customer attitudes to further improve based on continued segmentation of the customer base and personalization of messaging.
For the composite organization, Forrester assumes:
Differences in organizations that may impact the benefit results include:
To account for these risks, Forrester adjusted this benefit downward by 15%, yielding a three-year, risk-adjusted total PV of $664,000.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
D1 | Number of total conversions from digital marketing | C1*C2*C5 | 836,278 | 984,563 | 1,156,136 | ||
D2 | Average order value | A10 | $60 | $60 | $60 | ||
D3 | Increase in basket size | Interviews | 5.0% | 7.5% | 10.0% | ||
D4 | Average order value with Mapp Cloud | D2*(1+D3) | $63.00 | $64.50 | $66.00 | ||
D5 | Subtotal: Revenue from larger average order value | D1*(D4-D2) | $2,508,834 | $4,430,534 | $6,936,816 | ||
D6 | Operating margin | TEI standard | 7% | 7% | 7% | ||
Dt | Greater customer lifetime value | D5*D6*D7 | $175,618 | $310,137 | $485,577 | ||
Risk adjustment | ↓15% | ||||||
Dtr | Greater customer lifetime value (risk-adjusted) | $149,276 | $263,617 | $412,741 | |||
Three-year total: $825,633 | Three-year present value: $663,668 | ||||||
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Mapp Cloud helped the interviewees’ marketing teams become more productive on several fronts, most especially with performance analysis. Mapp Intelligence’s dashboards helped visualize data for customer-level insights, including engagement and transaction history. The solution also made recommendations for the best time to send out messages and provided predictions around customer churn or conversion.
With analysis readily available, marketers spent less time reviewing data from different silos and platforms to assemble takeaways. Instead, they rededicated that time to discussing new strategies with colleagues. Interviewees reported that marketing teams had more productive conversations and reached consensus faster.
According to an interviewee at a retailer, a rotation of users would spend two to three hours every day reviewing messaging and product recommendation performance, then hold discussions on next steps. With Mapp automating personalized messages and recommendations based on analysis, users were able to recoup the time and focus on strategy
Templates from Mapp Engage helped users to quickly iterate on campaigns — like pulling in high performing content from the website to optimize messaging — all while incorporating different personalized messaging to test what worked best. Templates were mobile friendly and included overlays to product pages, requiring minimal technical knowledge to properly leverage.
Segmentation of customers into specific groups was streamlined and more accurate. Through Mapp Engage users could quickly import data to enrich customer profiles and ensure accurate targeting with advertising, as well as email and mobile communication. Mapp’s support for major ad platforms mitigated any technical headaches around messaging targeting.
Teams reallocated time savings toward building new, more complex customer segments and campaign workflows around specific customers audiences. One retailer increased the number of customer triggers from four to 27 over the course of a year. Altogether, users no longer jumbled multiple marketing solutions and data platforms together to create end-to-end customer journeys. Working within Mapp Cloud helped users avoid headaches and become more agile with their output.
For the composite organization, Forrester assumes:
Differences in organizations that may impact the benefit results include:
To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV of $321,000.
Ref. | Metric | Source | Year 1 | Year 2 | Year 3 | ||
---|---|---|---|---|---|---|---|
E1 | Full-time equivalent of employees working on marketing messaging and insights | Composite organization | 7 | 7 | 7 | ||
E2 | Improvement in productivity | Interviews | 15% | 20% | 25% | ||
E3 | Time recovered since using Mapp Cloud | E1*2,080 working hours*E2 | 2,184 | 2,912 | 3,640 | ||
E4 | Fully loaded hourly rate per marketing employee | TEI standard | $50 | $50 | $50 | ||
Et | Productivity value with Mapp Cloud | E3*E4 | $109,200 | $145,600 | $182,000 | ||
Risk adjustment | ↓10% | ||||||
Etr | Productivity value with Mapp Cloud (risk-adjusted) | $98,280 | $131,040 | $163,800 | |||
Three-year total: $393,120 | Three-year present value: $320,708 | ||||||
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Interviewees mentioned the following additional benefits that their organizations experienced but were not able to quantify:
Insights are critical to driving new business at organizations. A survey of directorlevel martech decision-makers, conducted for a Thought Leadership Paper from Forrester Consulting commissioned by Mapp, found 51% cited “Enhanced customer insights” as a customer experience strategy improvement that had delivered the most success over the past two years.3
Returns on customer insights can be significant. According to Forrester Research, data and analytics decision-makers who claim that their organizations have advanced insights-driven business capabilities are 8.5 times more likely than those still at the beginner stage to report annual revenue growth of 20% or more (24% vs. 3%).4
As quantified earlier in the study, analysis of data and recommendations from Mapp Intelligence were critical for driving engagement and conversions in messaging sent out through Mapp Cloud. Based on these improvements, interviewees recognized an opportunity to improve their usage of insights across the rest of their marketing teams.
Mapp Intelligence’s insights were easy to digest and share across teams, helping to align and reshape marketing decision-making. For example, creative choices within advertisements reflected elements of content that received the most customer engagement.
Marketers viewed insights from analysis as starting blocks for understanding customers and critical for constructing personalized web experiences beyond emails and texts. The e-commerce marketing director at a nutrition-based CPG organization said: “Website personalization isn’t something we’ve really been doing. With all of the data and customer history available in Mapp Cloud to review, we’re going to start using that information much more.” Interviewees spoke of the impact Mapp Intelligence had on their messaging through the platform, but noted its influence was growing with executives using the information for their decision-making.
Base: 203 director+ martech decision-makers at SMB/enterprise companies in North America and EMEA
Note: Showing top 3 and top 6 for first and second questions respectively
Source: A commissioned study conducted by Forrester Consulting on behalf of Mapp Digital, February 2021
Expansion of channels used for marketing was a key benefit of Mapp Cloud for organizations as it represented a step toward building more diverse campaigns. By creating channel-specific workflows in Mapp Engage, calls to action to make a mobile purchase or revisit an online search could feature more unique messaging. In one case, the digital marketing operation manager at a retailer shared how the brand now syncs webpage popups or display ads for individual newsletter subscribers to create a streamlined experience.
The frequency of messages received decreased based on relevant triggers, amplifying their impact when customers received them. As a paid and organic performance marketing executive at a retailer explained, Mapp Cloud helped marketers put together a “click-and-collect journey” for customers so that they could reach customers through a variety of touchpoints and have visibility at any point in time in the purchase journey.
The value of flexibility is unique to each organization. There are multiple scenarios in which a brand might implement Mapp Cloud and later realize additional uses and business opportunities, including:
As marketing campaigns became more diverse, teams using Mapp Cloud became more mature and ambitious with the complexity of customer segments, recognizing even more value from personalization. Specific types of customers targeted were ones who spent more time browsing then making purchases, as well as customers more likely to generate revenue for the organization. In one use case, the e-commerce marketing director at the CPG nutrition organization said that engagement related to food items would trigger emails about recipes, weight loss and dieting, or nutrition to accelerate conversion. The specificity of this marketing contributed to further engagement and sales.
With Mapp Cloud supporting multiple channels and analysis of data, organizations experienced unique cost savings when decommissioning legacy solutions. An interviewee at a retailer reallocated nearly $100,000 from a prior email solution that charged on a per click basis, whereas Mapp Cloud charged a fixed rate for a specific volume of messages sent. With Mapp Cloud delivering strong results with fewer messages, the organization stayed well below the maximum volume threshold. In another cost saving example, the CPG organization for health and nutrition moved away from a data visualization solution that required its own employee for management. For these organizations, the incremental cost savings helped free additional budget to go toward covering their investment in Mapp Cloud.
Flexibility would also be quantified when evaluated as part of a specific project (described in more detail in Appendix A).
Ref. | Costs | Initial | Year 1 | Year 2 | Year 3 | Total | Present Value |
---|---|---|---|---|---|---|---|
Ftr | Annual licensing for Mapp Cloud | $0 | $254,100 | $254,100 | $254,100 | $762,300 | $631,909 |
Gtr | Implementationand training costs. | $21,630 | $2,100 | $2,100 | $2,100 | $27,930 | $26,852 |
Total costs (risk-adjusted) | $21,630 | $256,200 | $256,200 | $256,200 | $790,230 | $658,761 |
Interviewees noted annual costs for Mapp Cloud were based on several factors, including:
For this study, Forrester assumes:
Differences in organizations that may impact the cost results include:
To account for these risks, Forrester adjusted this cost upward by 5%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $632,000.
Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 | |
---|---|---|---|---|---|---|---|
F1 | Annual licensing | Composite | $242,000 | $242,000 | $242,000 | ||
Ft | Annual licensing for Mapp Cloud | F1 | $242,000 | $242,000 | $242,000 | ||
Risk adjustment | ↑5% | ||||||
Ftr | Annual licensing for Mapp Cloud (risk-adjusted) | $0 | $254,100 | $254,100 | $254,100 | ||
Three-year total: $762,300 | Three-year present value: $631,909 | ||||||
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Implementation of Mapp Cloud took interviewees a few weeks to complete, involving a small team and support from Mapp to integrate the solutions with their organizations’ tech stack, import customer information from data silos, and rebuild some customer segments.
A small team used Mapp Cloud services on a daily basis for their marketing efforts, while several others relied on it for weekly reporting and analysis. Training for the daily users took no longer than 20 hours and, for infrequent users, it took 4 hours.
For this study, Forrester assumes:
Differences in organizations that may impact the cost results include:
To account for these risks, Forrester adjusted this cost upward by 5%, yielding a three-year, risk-adjusted total PV of $27,000.
Ref. | Metric | Source | Initial | Year 1 | Year 2 | Year 3 | |
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G1 | Full-time equivalent (FTE) employees supporting implementation | Composite | 3 | ||||
G2 | Time spent on implementation per employee (hours) | Interviews | 80 | ||||
G3 | Blended fully loaded hourly rate per employee | TEI standard | $65 | ||||
G4 | Internal implementation cost | G1*G2*G3 | $15,600 | ||||
G5 | Number of core users trained on Mapp Cloud | Composite | 5 | 1 | 1 | 1 | |
G6 | Number of employees collecting reports and insights from Mapp Cloud | Composite | 5 | 5 | 5 | ||
G7 | Time spent on training (hours) | Interviews | 20 | 4 | 4 | 4 | |
G8 | Fully loaded hourly rate per marketing employee | TEI standard | $50 | $50 | $50 | $50 | |
G9 | Training costs | Core users:G5*20hours*G8 Other users: G6*G7*G8 |
$5,000 | $2,000 | $2,000 | $2,000 | |
Gt | Implementation and training costs | G4+G9 | $20,600 | $2,000 | $2,000 | $2,000 | |
Risk adjustment | ↑5% | ||||||
Gtr | Implementation and training costs (risk-adjusted) | $21,630 | $2,100 | $2,100 | $2,100 | ||
Three-year total: $27,930 | Three-year present value: $26,852 | ||||||
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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.
Initial | Year 1 | Year 2 | Year 3 | Total | Present Value | |
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Total costs | ($21,630) | ($256,200) | ($256,200) | ($256,200) | ($790,230) | ($658,761) |
Total benefits | $0 | $1,098,206 | $1,721,314 | $2,387,795 | $5,207,315 | $4,214,928 |
Net benefits | ($21,630) | $842,006 | $1,465,114 | $2,131,595 | $4,417,085 | $3,556,167 |
ROI | 540% | |||||
Payback | <6 months | |||||
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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.
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.
“Best Practices: Cross-Channel Campaign Management For Retailers,” Forrester Research, Inc., March 31, 2022.
1 Source: Forrester’s Marketing Survey, 2022.
2 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.
3 Source: “Use Analytics And Insights To Accelerate Your Customer Experience Strategy,” a commissioned study conducted by Forrester Consulting on behalf of Mapp, February 2021.
4 Source: “Build An Insights-Driven Business,” Forrester Research, Inc., January 27, 2022.