AD0-E556 Adobe Marketo Engage Architect Questions and Answers

An Adobe Marketo Engage Architect is working for a car manufacturing company in Japan and wants to solve two problems:

1. Receiving errors when trying to integrate Marketo Engage with Salesforce's Custom Object, the custom object of Salesforce is storing the offers and gifts given to each car owner.

2. Store the periodic details of car services of owners in Marketo Engage. This will help the team to edit the records in Marketo Engage. Also, use Filter and Triggers for sending service reminders on Marketo Engage. This data at present is maintained offline in Excel.

In which two ways can the Architect solve these challenges? (Choose two.)

Refer to the case study.

UNICORN FINTECH COMPANY PROFILE

Unicorn Fintech is a mobile-only financial-servicesstartup created by a consortium of consumer banks to resell savings, checking, loan, transfer/remittance, and other services from a secure smartphone app. The company is venture-funded, and plans to reach profitability before a planned IPO in two years.

Business issues and requirements

Marketing is responsible for acquiring new customers 0 through online, television advertising, and email campaigns, and for cross-selling new services to customers through IM, email, and in-app campaigns. Evaluating the success of these campaigns has been a persistent problem: although the company can track revenue by product line, it can't attribute those revenues to campaigns: for example, did a new loan come from onboarding a new customer, or by cross-selling a savings-account customer? Marketing currently uses

crude, manual tools and guesswork to evaluate the quality and lifespan of new leads, and even the deliverability of emails in its external campaigns. As a result, the department can't allocate spending to the most productive campaigns, or decide how much different touchpoints in multi-stage campaigns contribute to revenue. Operational processes to connect lead data to CRM and other databases are entirely manual.

Staffing and leadership

Unicorn has fewer than 200 employees, and roles aren't always defined in traditional ways. Since customer acquisition and cross-selling are primarily through electronic channels, Marketing and IT roles especially often overlap. The traditional Sales role falls entirely to Marketing, and IT is responsible for the Salesforce CRM system, Google Analytics, and a handful of third-party integrations. The CMO and CIO work closely together on most initiatives, and budgets are typically project-driven rather than fixed annually. Individual contributors to Marketing campaigns include the Marketing Operations Manager, responsible for lead scoring and analytics. Key IT contacts include the CRM Administrator and Web Developer. Incidental contributors are the Corporate Attorney, who signs off on opt-in/out and DMARC policies.

Revenue sources

Unicorn earns commissions on financial services delivered by the banking consortium through its apps, including fixed finders' fees for what the company calls "skips"-customers who initially engage with Unicorn, but then "skip" to receive services directly from a consortium bank. Unicorn needs to attribute revenue from these customers to its own campaigns; currently, it's impossible to attribute ROI to individual campaigns, or provide documentation to claim commissions on "skips."

Current and aspirational marketing technology

Current Marketing technology consists of Marketable,an open-source lead management solution supported by a set of spreadsheets and scripts developed in-house. Marketable offers lead tracking and source attribution, but not multi-touch source attribution. Unicorn Fintech Marketing has difficulty linking the different stages of customer campaign journeys, and relies on scripts to translate Marketable's "sales alerts" into next steps it could use in multi-touch campaigns. IT has worked out scripts to input Marketable qualified leads into Salesforce, but the system is brittle and often requires manual intervention.

Current campaign management processes

A typical email campaign:

• Addresses a purchased (for customer acquisition) or0 in-house (for cross-sell) list. Purchased lists range from 300,000 to 1.5 million addresses

• Is sent from multiple data centers in the US and Canada

• Includes an "unsubscribe" opt-out below the message

• Is static; there are no formula fields

• Uses no deliverability authentication, nor integration 0 with any email management platform.

All campaigns to date direct respondents to a single 0 landing page with the company's "all markets" message. More sophisticated targeting is a high priority.

Current lead management and attribution

Unicorn's lead-management process follows

Marketable's "out of the box" defaults: lead evaluation levels 1 through 3, lifecycle stages "unqualified" and "qualified." The qualification processes are manual, and highly subjective: Marketing staff classify leads according to prospect email responses, including free-form comments. "Sales" followup is by email forms prompting higher levels of engagement. The company intends to phase out Marketable and replace spreadsheets and scripts with native features of whatever solution set it adopts.

Attribution processes are binary: response to a campaign email or web visit is rated a success if it results in a sale: there is no success rating assigned to TV ads that result in web visits, for example. Cost are not allocated to individual campaigns.

The Marketing department plans to expand outreach to social media (Facebook, Twitter, Instagram, in-house and third-party financial blogs), and wants to make sure it can assess the ROI of these channels, and the overall social media program.

Current governance processes

Currently, the Marketing department assigns content development and campaign management duties to team members on a campaign-by-campaign basis. All team members (and IT) have access to all assets and tools, which sometimes leads to duplication and conflicts. The CMO realizes that a more specialization will be necessary to support the social media campaigns, but hasn't decided on the optimal organizational model.

Input of qualified leads from Marketable into

Salesforce is by manual cut-and-paste, assisted by scripts; inconsistency of input practices across Marketing team members is a known problem; individual members have their own "go-to" fields: where one member might check "TV ad" as Lead Source, another would put that in the comments field.

CMO

The CMO's most important concerns are:

• The current solution has too many manual steps to scale with anticipated growth

• Without more sophisticated attribution, the company will overinvest in less productive campaigns, and underinvest in better ones

• In general, analytics integrations are manual, slow, and unreliable

• The current system completely misses "skips"-customers switching from the Unicorn app to consortium banks-an important source of revenue

• Documenting the value of Unicorn's Marketing processes is essential to the success of the planned IPO, and millions of dollars in stock valuation hangs in the balance.

CIO

The CIO is concerned primarily with:

• The amount of time his team spends patching up Marketing campaigns and CRM data transfers, at the expense of other, critical initiatives

• Quality and reliability of the Analytics information his team provides to Marketing

MARKETING STAFF

Marketing Operations staff concerns:

• Campaigns require so much work that they can't run as many of them as they need to

• Multi-touch cross-selling campaigns (for example, savings accounts to loans) with excellent margins, but no way to know which campaign touches perform best

• Getting swamped with manual record-keeping; for example, spreadsheet mistakes take hours to find and

fix

• Poor integration with third-party tools for preparing, sending, and evaluating campaign materials, for

Example.

o Webhook not firing,

o Reaching API limit

o Synchronization errors with third-party tools and Salesforce

• Inadequate number of lead stages and qualification levels, making it difficult to evaluate lead value, especially in multi-touch campaigns

Despite the absence of an external Sales team,

Marketing Operations would like to improve the granularity of their lead tracking, including both lifecycle stages and quality levels, with "no score" and negative levels.

A key revenue source for Unicorn is "skips". This source is made up of customers who initially engage with Unicorn, but then "skip" to receive services directly from a consortium bank. Unicorn wants to attribute this revenue from these customers to their campaigns. Unicorn IT has done the due diligence to be able to receive access to this data.

For Marketo's revenue attribution model and overall data architecture, in which location should this data be available to Marketo?

A company has a meeting with a third party that wants to begin submitting leads captured through various channels. These leads are aware that the third party will share their information with the company and have provided consent through their engagement. The third party will send the leads through a REST API.

Which steps should the Adobe Marketo Engage Architect take to make sure that the REST API is set up correctly?

An Architect notices that deliverability is slowly decreasing over time. After pulling a year of reports, the Administrator notices that the number of emails per month has increased from 3 to 10. The unsubscribe rates nearly double each quarter. Per the CMO, the amount of marketing activity must remain the same.

Which two actions can the Architectr take to make sure emails reach people in their database? (Choose two.)

An Adobe Marketo Engage Architect starts their first day at their new job managing the Marketo Engage instance. When inspecting the instance, they notice that the sync to Salesforce was unusually slow and takes several hours to populate Salesforce campaign membership from Marketo Engage programs. Upon closer inspection, several errors occurred under the notifications of syncs timing out or hitting the concurrent limit.

Which three actions can the Architect take to help diagnose and address the problem around sync to Salesforce issues?

Refer to the case study.

UNICORN FINTECH COMPANY PROFILE

Unicorn Fintech is a mobile-only financial-servicesstartup created by a consortium of consumer banks to resell savings, checking, loan, transfer/remittance, and other services from a secure smartphone app. The company is venture-funded, and plans to reach profitability before a planned IPO in two years.

Business issues and requirements

Marketing is responsible for acquiring new customers 0 through online, television advertising, and email campaigns, and for cross-selling new services to customers through IM, email, and in-app campaigns. Evaluating the success of these campaigns has been a persistent problem: although the company can track revenue by product line, it can't attribute those revenues to campaigns: for example, did a new loan come from onboarding a new customer, or by cross-selling a savings-account customer? Marketing currently uses

crude, manual tools and guesswork to evaluate the quality and lifespan of new leads, and even the deliverability of emails in its external campaigns. As a result, the department can't allocate spending to the most productive campaigns, or decide how much different touchpoints in multi-stage campaigns contribute to revenue. Operational processes to connect lead data to CRM and other databases are entirely manual.

Staffing and leadership

Unicorn has fewer than 200 employees, and roles aren't always defined in traditional ways. Since customer acquisition and cross-selling are primarily through electronic channels, Marketing and IT roles especially often overlap. The traditional Sales role falls entirely to Marketing, and IT is responsible for the Salesforce CRM system, Google Analytics, and a handful of third-party integrations. The CMO and CIO work closely together on most initiatives, and budgets are typically project-driven rather than fixed annually. Individual contributors to Marketing campaigns include the Marketing Operations Manager, responsible for lead scoring and analytics. Key IT contacts include the CRM Administrator and Web Developer. Incidental contributors are the Corporate Attorney, who signs off on opt-in/out and DMARC policies.

Revenue sources

Unicorn earns commissions on financial services delivered by the banking consortium through its apps, including fixed finders' fees for what the company calls "skips"-customers who initially engage with Unicorn, but then "skip" to receive services directly from a consortium bank. Unicorn needs to attribute revenue from these customers to its own campaigns; currently, it's impossible to attribute ROI to individual campaigns, or provide documentation to claim commissions on "skips."

Current and aspirational marketing technology

Current Marketing technology consists of Marketable,an open-source lead management solution supported by a set of spreadsheets and scripts developed in-house. Marketable offers lead tracking and source attribution, but not multi-touch source attribution. Unicorn Fintech Marketing has difficulty linking the different stages of customer campaign journeys, and relies on scripts to translate Marketable's "sales alerts" into next steps it could use in multi-touch campaigns. IT has worked out scripts to input Marketable qualified leads into Salesforce, but the system is brittle and often requires manual intervention.

Current campaign management processes

A typical email campaign:

• Addresses a purchased (for customer acquisition) or0 in-house (for cross-sell) list. Purchased lists range from 300,000 to 1.5 million addresses

• Is sent from multiple data centers in the US and Canada

• Includes an "unsubscribe" opt-out below the message

• Is static; there are no formula fields

• Uses no deliverability authentication, nor integration 0 with any email management platform.

All campaigns to date direct respondents to a single 0 landing page with the company's "all markets" message. More sophisticated targeting is a high priority.

Current lead management and attribution

Unicorn's lead-management process follows

Marketable's "out of the box" defaults: lead evaluation levels 1 through 3, lifecycle stages "unqualified" and "qualified." The qualification processes are manual, and highly subjective: Marketing staff classify leads according to prospect email responses, including free-form comments. "Sales" followup is by email forms prompting higher levels of engagement. The company intends to phase out Marketable and replace spreadsheets and scripts with native features of whatever solution set it adopts.

Attribution processes are binary: response to a campaign email or web visit is rated a success if it results in a sale: there is no success rating assigned to TV ads that result in web visits, for example. Cost are not allocated to individual campaigns.

The Marketing department plans to expand outreach to social media (Facebook, Twitter, Instagram, in-house and third-party financial blogs), and wants to make sure it can assess the ROI of these channels, and the overall social media program.

Current governance processes

Currently, the Marketing department assigns content development and campaign management duties to team members on a campaign-by-campaign basis. All team members (and IT) have access to all assets and tools, which sometimes leads to duplication and conflicts. The CMO realizes that a more specialization will be necessary to support the social media campaigns, but hasn't decided on the optimal organizational model.

Input of qualified leads from Marketable into

Salesforce is by manual cut-and-paste, assisted by scripts; inconsistency of input practices across Marketing team members is a known problem; individual members have their own "go-to" fields: where one member might check "TV ad" as Lead Source, another would put that in the comments field.

CMO

The CMO's most important concerns are:

• The current solution has too many manual steps to scale with anticipated growth

• Without more sophisticated attribution, the company will overinvest in less productive campaigns, and underinvest in better ones

• In general, analytics integrations are manual, slow, and unreliable

• The current system completely misses "skips"-customers switching from the Unicorn app to consortium banks-an important source of revenue

• Documenting the value of Unicorn's Marketing processes is essential to the success of the planned IPO, and millions of dollars in stock valuation hangs in the balance.

CIO

The CIO is concerned primarily with:

• The amount of time his team spends patching up Marketing campaigns and CRM data transfers, at the expense of other, critical initiatives

• Quality and reliability of the Analytics information his team provides to Marketing

MARKETING STAFF

Marketing Operations staff concerns:

• Campaigns require so much work that they can't run as many of them as they need to

• Multi-touch cross-selling campaigns (for example, savings accounts to loans) with excellent margins, but no way to know which campaign touches perform best

• Getting swamped with manual record-keeping; for example, spreadsheet mistakes take hours to find and

fix

• Poor integration with third-party tools for preparing, sending, and evaluating campaign materials, for

Example.

o Webhook not firing,

o Reaching API limit

o Synchronization errors with third-party tools and Salesforce

• Inadequate number of lead stages and qualification levels, making it difficult to evaluate lead value, especially in multi-touch campaigns

Despite the absence of an external Sales team,

Marketing Operations would like to improve the granularity of their lead tracking, including both lifecycle stages and quality levels, with "no score" and negative levels.

Unicorn Fintech is using Salesforce and Adobe Marketo Engage. They want to change their lead sync and lead routing rules for new leads that are generated through Marketo Engage forms. The Marketing Operations Manager needs to help them build new automation. Leads must reach a minimum lead score of 50 prior to being synced for Inside Sales to follow up. Prior to syncing to Salesforce, they want to make sure that each lead has a minimum data set of lead source and country. The Inside Sales Managers in each region cannot agree on a single global process for which leads should be assigned to which Inside Sales reps once the leads are created in Salesforce. They want the flexibility to decide at the country level.

What is the most appropriate, scalable process for the Marketing Operations Manager to build?

A consultant conducts an audit on a company's Adobe Marketo Engage instance and discovers:

• The instance hits its API limit twice a month, affecting leads from multiple third-party integrations from being consistently created or updated automatically.

• The field "Country' is set as a text field, which results in inconsistent variations and misspellings of the country value, leading to the inability to route leads to the proper regional sales team.

• There is a Segmentation called "Reqion", which is defined by the "Country" field values; due to the inconsistency of the field, a majority of the person records sit in the "Default" segment.

• Lead routing is based on the "Region" segment, and there is no logic set in the routing to account for the "Default" leads.

After sharing these findings with a group of stakeholders, the stakeholders share:

• The Data Science team uses the Marketo Engage API to pull data out of the instance twice a month for an executive dashboard that tracks quarterly goals.

• The Sales team is extremely below target for qualified leads because the volume routed to them is so low.

• The Web team has reported on below-average form conversions because too many fields are open text.

• The Marketing team wants to send nurture emails that are localized based on the "Region" Segmentation.

The end of the quarter is 1 month away.

What is the first action the consultant should take?

An Adobe Marketo Engage Architect is working for Too Big to Fail Co., an enterprise company that has an 8-year-old Marketo Engage instance (A). Too Big to Fail Co. recently purchased start up Treat Snack LTD, which has 100 employees and its own Marketo Engage instance (B). The Architect needs to merge the two instances and maintain business continuity. No additional budget, funding, or resources are available for the merger and migration.

The Architect needs to determine the most important actions to take for the minimum viable solution to meet the business needs. The two instances need to be merged in 3

months.

Which actions should the Architect take?

An Adobe Marketo Engage Architect joins a company and needs to audit a prospect engagement scoring model. The previous administrator did not properly set up or maintain the model. The Marketing and Sales teams identify all engagement elements they want the new revamped model to score on. The administrator needs to make improvements.

According to best practices, what are the three important elements for the Architect to consider when updating the scoring model? (Choose three.)

An Adobe Marketo Engage Architect notices that the smart campaigns run slowly. The Campaign Queue in Marketing Activities is full of backlog campaigns. The alerts fire with a delay. All alert smart campaigns are triggered based on the first step of Change Data Value. All Batch campaigns use the Advanced Wait Properties at the first step to run the campaign every Monday at 8:00 PM PT.

Which steps should the Architect perform to scale the campaign execution?

Refer to the case study.

UNICORN FINTECH COMPANY PROFILE

Unicorn Fintech is a mobile-only financial-servicesstartup created by a consortium of consumer banks to resell savings, checking, loan, transfer/remittance, and other services from a secure smartphone app. The company is venture-funded, and plans to reach profitability before a planned IPO in two years.

Business issues and requirements

Marketing is responsible for acquiring new customers 0 through online, television advertising, and email campaigns, and for cross-selling new services to customers through IM, email, and in-app campaigns. Evaluating the success of these campaigns has been a persistent problem: although the company can track revenue by product line, it can't attribute those revenues to campaigns: for example, did a new loan come from onboarding a new customer, or by cross-selling a savings-account customer? Marketing currently uses

crude, manual tools and guesswork to evaluate the quality and lifespan of new leads, and even the deliverability of emails in its external campaigns. As a result, the department can't allocate spending to the most productive campaigns, or decide how much different touchpoints in multi-stage campaigns contribute to revenue. Operational processes to connect lead data to CRM and other databases are entirely manual.

Staffing and leadership

Unicorn has fewer than 200 employees, and roles aren't always defined in traditional ways. Since customer acquisition and cross-selling are primarily through electronic channels, Marketing and IT roles especially often overlap. The traditional Sales role falls entirely to Marketing, and IT is responsible for the Salesforce CRM system, Google Analytics, and a handful of third-party integrations. The CMO and CIO work closely together on most initiatives, and budgets are typically project-driven rather than fixed annually. Individual contributors to Marketing campaigns include the Marketing Operations Manager, responsible for lead scoring and analytics. Key IT contacts include the CRM Administrator and Web Developer. Incidental contributors are the Corporate Attorney, who signs off on opt-in/out and DMARC policies.

Revenue sources

Unicorn earns commissions on financial services delivered by the banking consortium through its apps, including fixed finders' fees for what the company calls "skips"-customers who initially engage with Unicorn, but then "skip" to receive services directly from a consortium bank. Unicorn needs to attribute revenue from these customers to its own campaigns; currently, it's impossible to attribute ROI to individual campaigns, or provide documentation to claim commissions on "skips."

Current and aspirational marketing technology

Current Marketing technology consists of Marketable,an open-source lead management solution supported by a set of spreadsheets and scripts developed in-house. Marketable offers lead tracking and source attribution, but not multi-touch source attribution. Unicorn Fintech Marketing has difficulty linking the different stages of customer campaign journeys, and relies on scripts to translate Marketable's "sales alerts" into next steps it could use in multi-touch campaigns. IT has worked out scripts to input Marketable qualified leads into Salesforce, but the system is brittle and often requires manual intervention.

Current campaign management processes

A typical email campaign:

• Addresses a purchased (for customer acquisition) or0 in-house (for cross-sell) list. Purchased lists range from 300,000 to 1.5 million addresses

• Is sent from multiple data centers in the US and Canada

• Includes an "unsubscribe" opt-out below the message

• Is static; there are no formula fields

• Uses no deliverability authentication, nor integration 0 with any email management platform.

All campaigns to date direct respondents to a single 0 landing page with the company's "all markets" message. More sophisticated targeting is a high priority.

Current lead management and attribution

Unicorn's lead-management process follows

Marketable's "out of the box" defaults: lead evaluation levels 1 through 3, lifecycle stages "unqualified" and "qualified." The qualification processes are manual, and highly subjective: Marketing staff classify leads according to prospect email responses, including free-form comments. "Sales" followup is by email forms prompting higher levels of engagement. The company intends to phase out Marketable and replace spreadsheets and scripts with native features of whatever solution set it adopts.

Attribution processes are binary: response to a campaign email or web visit is rated a success if it results in a sale: there is no success rating assigned to TV ads that result in web visits, for example. Cost are not allocated to individual campaigns.

The Marketing department plans to expand outreach to social media (Facebook, Twitter, Instagram, in-house and third-party financial blogs), and wants to make sure it can assess the ROI of these channels, and the overall social media program.

Current governance processes

Currently, the Marketing department assigns content development and campaign management duties to team members on a campaign-by-campaign basis. All team members (and IT) have access to all assets and tools, which sometimes leads to duplication and conflicts. The CMO realizes that a more specialization will be necessary to support the social media campaigns, but hasn't decided on the optimal organizational model.

Input of qualified leads from Marketable into

Salesforce is by manual cut-and-paste, assisted by scripts; inconsistency of input practices across Marketing team members is a known problem; individual members have their own "go-to" fields: where one member might check "TV ad" as Lead Source, another would put that in the comments field.

CMO

The CMO's most important concerns are:

• The current solution has too many manual steps to scale with anticipated growth

• Without more sophisticated attribution, the company will overinvest in less productive campaigns, and underinvest in better ones

• In general, analytics integrations are manual, slow, and unreliable

• The current system completely misses "skips"-customers switching from the Unicorn app to consortium banks-an important source of revenue

• Documenting the value of Unicorn's Marketing processes is essential to the success of the planned IPO, and millions of dollars in stock valuation hangs in the balance.

CIO

The CIO is concerned primarily with:

• The amount of time his team spends patching up Marketing campaigns and CRM data transfers, at the expense of other, critical initiatives

• Quality and reliability of the Analytics information his team provides to Marketing

MARKETING STAFF

Marketing Operations staff concerns:

• Campaigns require so much work that they can't run as many of them as they need to

• Multi-touch cross-selling campaigns (for example, savings accounts to loans) with excellent margins, but no way to know which campaign touches perform best

• Getting swamped with manual record-keeping; for example, spreadsheet mistakes take hours to find and

fix

• Poor integration with third-party tools for preparing, sending, and evaluating campaign materials, for

Example.

o Webhook not firing,

o Reaching API limit

o Synchronization errors with third-party tools and Salesforce

• Inadequate number of lead stages and qualification levels, making it difficult to evaluate lead value, especially in multi-touch campaigns

Despite the absence of an external Sales team,

Marketing Operations would like to improve the granularity of their lead tracking, including both lifecycle stages and quality levels, with "no score" and negative levels.

Unicorn Fintech launches a new paid subscription app where users can sign up to read financial advice. Access to Unicorn Fintech's new app is renewed each year, and the App User Expiry Date is a date field that is updated hourly from CRM to Adobe Marketo Engage. Another string type field called App User Status changes to a status of "Current" in Marketo Engage when the App User's access becomes valid, and changes to "Lapsed" if the App User fails to renew.

The Marketing team wants to add App Users who have not yet renewed to an Engagement Program to nurture them 2 months prior to their App User Expiry Date, and then remove the App User from the nurture if they renew.

Which smart campaign setup is the most efficient to manage adding the App User to the nurture?

A Sales team reports to Marketing that they receive false MQLs regularly. The Adobe Marketo Engage instance has three fields to track lead scores:

• "Total Score" is a sum of Behavior and Demographic Scores.

• A prospect gets graduated to MQL as soon as "Behavior Score" changes to 100 or greater and 'Demographic Score" must be at least 20.

• All "Demographic Score" smart campaigns are set up using "Person is Created" trigger with no filters.

The Marketo Engage Administrator audits the false MQLs and learns that most of them received a "Demographic Score" of +20 for being in a target "Job Title" and preferred "Country". Their "Demographic Scoring" was not completed. They received -10 for the "Industry" because these false MQLs are from Universities.

Which two sets of actions should the Architect take to stop sending the false MQLs to the Sales team? (Choose two.)