An Adobe Marketo Engage Consultant is assigned to audit an existing Marketo Engage instance. The instance is 2 years old and follows a de-centralized model for program execution. Therefore, all marketers within the organization have been trained to operate and build in the Marketo Engage instance independently. During the audit, the consultant discovers:
1. Naming convention does not exist. Therefore, all program names are named arbitrarily.
2. There are four Marketo Engage Admins: The marketing operations manager, the demand generation manager, the CRM administrator, and the IT manager. All four admins have access to everything and have been creating fields on their own to fit individual business needs.
3. There is one workspace for the entire instance. However, the company has paid for additional workspaces.
4. There are two Revenue Lifecycle Models: a prospect lifecycle and a customer lifecycle.
The CMO wants to prioritize the following goals:
1. Ability to pull quick reports for prospect programs and customer programs from a reporting tool like Tableau.
2. Change the operating model from de-centralized to centralized so the marketing operations manager and CRM administrator are the only two people managing the operational side of the Marketo Engage instance and a new agency will manage the campaign execution on the behalf of marketing.
Which three recommendations should the Consultant make? (Choose three.)
An Adobe Marketo Engage Architect is integrating a Marketo Engage instance for a nonprofit client with two different third-party platforms. The requirements are outlined below:
Scenario 1: Automatically clone existing default programs on Marketo, build the email using
the RSS feed of blog section, and schedule the email on every Thursday.
Scenario 2: Before deleting any record on Marketo, push the data to "Donor System".
How should the Marketo Engage Architect approach the platform integration?
A company buys a webinar solution that connects to its Adobe Marketo Engage instance via API. The Marketing VP wants to quickly scale the volume of webinars from once a month for North America to three times a month globally. All webinars will be in English. The company markets to three different regions, and the content of all assets such as the landing page and emails need the option to vary the content for different combinations of region and industry.
The Marketing VP wants to see the results of each webinar reported at the global level. The Demand Generation Manager wants to see the results of each webinar reported at the regional level.
Which two actions should the Marketo Engage Architect recommend to meet these requirements? (Choose two.)
An organization wants to improve its Lead routing to its team across regions. Instead of using their default workspace and partition for region/country specific marketing on top of global operations, they currently have four 'regions' that cover six countries, each with their own Lead partition and Workspaces:
• EMEA: UK and Belgium
• ANZ: Australia and New Zealand
• NAM: USA
• ASIA: Japan
Singapore will be added as an additional country within 6 months.
As the organization moves away from the highly manual process of assigning leads as 'ready', the goal is to use their new Lead scoring to state that leads that are above 60 in Score are marked as MQL, and are synced to the right country team queue in their CRM. The CRM will then use automated workflows to take leads from the queues and decide which leads are assigned to which representative for that country.
Which efficient measures should betaken to make sure Leads from the right countries are synced to the correct queues in the CRM?
An Adobe Marketo Engage Architect has just hired a new person to join their team. They have been tasked with building a new lifecycle model and you work together to develop a solution. The top half of the funnel stages (Known, Engaged, MQL) will be driven by Marketo Engage where as the bottom half of the funnel will be driven by specific data value changes in salesforce. Due to this quarter's budget reasons, there were not enough funds to subscribe to Revenue Explorer or Bizible but it will be prioritized for the next fiscal year.
Which scalable approach should the Architect choose to ensure that the lifecycle model is tracking lead stage changes accurately?
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 WebDeveloper. 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 plays a key role in a subset of applications for loans that happen at Consortium Banks. The Unicorn Marketing Operations team has the ability to integrate with these banks to pull this application data into Adobe Marketo Engage so they can automate their involvement in this process. They have discussed this data integration with their legal team, and it has been approved. Based on this, Unicorn decides to proceed with this integration and wants to pull all available data in because other Marketo Engage campaigns can be run in the future to this audience. Part of the initial requirements of this process include Unicorn emailing the customer if they reach a certain stage in the application process. Only certain customers will be added to this stage, so only those customers can be contacted by Unicorn as part of this initial process.
How should this information be stored in Marketo Engage?
The marketing team at a multinational company needs to better understand their marketing effectiveness. The team is planning for the next fiscal year and must decide how to allocate budget to the various marketing channels. Spending must be cut by $1,000,000. The team needs to decide what they are not going to do next year. By using program analyzer, extracting the information, and populating an Excel sheet, the team is able to analyze the following data.
Based on the data from this year's marketing metrics, which conclusion can be made to help make decisions for next year?
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