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An Administrator wants to pull lifecycle data into a Revenue Explorer program membership analysis without an active revenue cycle model. The company wants to be able to see which programs are fueling the lifecycle.
Which two items must be in place to see that data in one view? (Choose two.)
The two items that must be in place to see that data in one view are a custom field that is enabled in Revenue Explorer and a custom field that captures the lifecycle stage. These items will help the Administrator to pull lifecycle data into a Revenue Explorer program membership analysis without an active revenue cycle model, as well as to see which programs are fueling the lifecycle. A custom field that is enabled in Revenue Explorer will allow the Administrator to use it as a dimension or measure in Revenue Explorer reports and dashboards. A custom field that captures the lifecycle stage will allow the Administrator to track and segment leads based on their stage in the funnel.
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 and their Adobe Marketo Engage Architect want to update their current scoring for web-based behaviors. One area that is highlighted for changes are the forms. The goal is to avoid using one form score, and instead use 3 score values, depending on whether the form is low (+3); medium (+7), or high value (+15).
What is the most scalable way to build these changes?
Building smart campaigns that trigger based on the appropriate form into the scoring program and adding the appropriate score value 'My Tokens' into the 'Change Score' flow step is the most scalable way to build these changes. This way, the score values can be easily updated and reused across different forms and programs. Updating the hidden behavioral score fields in each form or using 'Change Data Value' flow steps are not scalable solutions as they require manual updates and duplication.
https://breadcrumbs.io/blog/marketo-lead-scoring/
An Adobe Marketo Engage Architect at Cookieless Monsters Inc. is creating a report on Revenue Explorer to track Marketing Influence on Opportunity Closed-Won by First-Touch (FT) and Multi-Touch (MT) attribution models of Marketo Engage.
Which two factors should the Architect consider while setting up FT and MT attribution reports on Revenue Explorer? (Choose two.)
The two factors that the Architect should consider while setting up FT and MT attribution reports on Revenue Explorer are that credit is split evenly, and credit cannot be given for something that happened in the past, and that FT attribution answers, ''Which programs are good at acquiring profitable new names?'' and MT attribution answers, ''Which programs are most influential in moving people forward in the sales cycle over time?''. These factors will help the Architect to understand and apply the logic and purpose of each attribution model. Credit is split evenly means that each program that a person interacted with in their journey will receive an equal share of credit for influencing the opportunity or revenue outcome, regardless of the timing or impact of the interaction. Credit cannot be given for something that happened in the past means that a person must have interacted with a program before becoming an opportunity or a customer, otherwise the program will not receive any credit for influencing the outcome. FT attribution answers, ''Which programs are good at acquiring profitable new names?'' means that this model assigns 100% credit to the first program that a person interacted with before becoming a known lead, which measures how well a program is generating new leads for the pipeline. MT attribution answers, ''Which programs are most influential in moving people forward in the sales cycle over time?'' means that this model assigns partial credit to multiple programs that a person interacted with throughout their journey from lead to opportunity to customer, which measures how well a program is influencing and nurturing leads along the funnel stages.
After evaluating global operations, the Marketing Operations team for a mid-sized organization determines that changes must be made to how many operational processes are running in their Adobe Marketo Engage instance. Some processes that cleanse and enrich the data being synced to Marketo Engage from Salesforce must be retired. The team negotiates a new process with Sales Operations to make values in certain data fields compulsory before a salesperson can save a new Contact in the CRM.
Before pushing this change live, which stakeholders must be enabled in the new process?
The stakeholders that must be enabled in the new process are Sales Operations, Sales Representatives, Sales Managers, and Data Analysts. This is because these are the roles that are directly involved in creating, managing, and reporting on Contacts in the CRM. Sales Operations is responsible for setting up and enforcing the new data validation rules. Sales Representatives and Sales Managers are responsible for entering and updating Contact data in compliance with the new rules. Data Analysts are responsible for monitoring and evaluating the data quality and performance metrics. The other options are not as relevant or necessary as this one, because they do not include all the key roles or they include roles that are not directly affected by the new process.
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.)
The two sets of actions that the Architect should take to stop sending the false MQLs to the Sales team are to use trigger ''Not Score is Changed'' on ''Demographic Field'' and to create a Boolean field and Smart-Campaign called ''Demographic MQL Score''. These actions will help the Architect to improve the lead scoring and qualification process, as well as to avoid sending leads that are not ready or qualified to the Sales team. Using trigger ''Not Score is Changed'' on ''Demographic Field'' will ensure that leads are scored only once based on their demographic attributes, instead of multiple times based on their behaviors. Creating a Boolean field and Smart-Campaign called ''Demographic MQL Score'' will enable the Architect to mark leads as Demographic MQLs based on their score and criteria, and to use this field as a filter and trigger for updating the MQL status.
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