UNICORN FINTECH COMPANY PROFILE
Unicorn Fintech is a mobile-only financial-services startup 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.
With help from the Adobe Marke to Engage Architects, Unicorn has an audit of their system and finds the following issues:
* Mass uploading spreadsheet data with mistakes and failure to check with Salesforce data caused a large number of Person records with the wrong Country field value in place. This reduces how many MQL leads are being sent in a timely fashion to the right team in their CRM.
* Many fields in Marketo Engage must be hidden and field blocked. The fields are not currently being used in day-to-day Programs, Lists, or Assets.
* The current Webinar and Tradeshow Event Program templates are not optimized. They have too many steps for the actions captured, and do not use 'My Tokens' as effectively as they could.
Only one person is making these changes. There is no need for 'quick wins' In which order of importance should these issues be fixed?
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?
Answer : B
The steps that the Architect should perform to scale the campaign execution are to move the Send Alert step to first for campaigns sending alerts, and to use batch campaign scheduler instead of Advanced Wait Properties for batch campaigns. These steps will help the Architect to improve the speed and efficiency of the smart campaigns, as well as reduce the backlog in the campaign queue. Moving the Send Alert step to first will ensure that alerts are sent immediately without waiting for other flow steps or triggers, which can cause delays or errors. Using batch campaign scheduler instead of Advanced Wait Properties will allow the Architect to schedule batch campaigns at a specific date and time, instead of using a wait step that can clog up the queue or run at suboptimal times.
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 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?
Answer : C
The scalable approach that the Architect should choose to ensure that the lifecycle model is tracking lead stage changes accurately is to build trigger logic within the Revenue Cycle Model. This approach will allow the Architect to create a lifecycle model that is driven by Marketo Engage for the top half of the funnel stages and by specific data value changes in Salesforce for the bottom half of the funnel stages, without requiring an active revenue cycle model. Building trigger logic within the Revenue Cycle Model will enable the Architect to define the criteria and conditions for each stage transition, as well as to track and measure the lead movement across the funnel stages.
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?
Answer : B
Including country as a form field, using a hidden field to populate lead source, triggering the sync when the person reaches 50 points, and assigning to a country lead queue is the most appropriate, scalable process for the Marketing Operations Manager to build. This way, the process ensures that each lead has a minimum data set of lead source and country, that the lead score is high enough to indicate interest and readiness, and that the lead routing is flexible enough to accommodate different regional preferences. Using inferred data to populate the country field or the lead source field would not be reliable or accurate, as inferred data can be incorrect or missing. Triggering the sync immediately would not respect the lead score threshold of 50 points. Assigning to an Inside Sales rep or an Inside Sales Manager directly would not allow for flexibility or load balancing. Assigning to a country lead queue would allow for more control and visibility over the lead distribution
Refer to the lifecycle model above.
A company wants improve the efficiency of its sales follow-up and enhance its velocity reporting across the funnel. The company currently uses the out-of-box Adobe Marketo Engage success with detours modeler. The stages are defined as:
1. Anonymous: Leads whose web activity is tracked, but whose identity is not known yet
2. Known: Leads for whom we have an email address or other information that allows us to market to them
3. Engaged: Leads that have engaged us by filling out a form, clicking a link in an email, or visiting our website at least 10 times within a week
4. Lead: Leads with scores greater than 25
5. Sales Person: Leads with scores greater than 30
6. Opportunity: Leads who also have an opportunity attached to them. The Max Age is set to 7 days before it moves to "Lost".
7. Won: Leads who are attached to opportunities that we have closed and Won
8. Recycling: People with scores below 25 that need to be nurtured
9. Disqualified: People who are not a fit for our products and services and we no longer want to market to them
0. Lost: People who are attached to opportunities that we have lost
Once leads reach the "Sales Person" stage, 50% of them do not get followed up by Sales until 7 days later. The Sales leader wants a salesperson to follow up with leads within 4 days.
Which two modifications should the Adobe Marketo Engage Consultant make to the lifecycle model to achieve these goals? (Choose two.)
Answer : C, D
The two modifications that the Adobe Marketo Engage Consultant should make to the lifecycle model to achieve these goals are to add an additional stage between ''Sales Person'' and ''Opportunity'' and to modify the Sales Person stage from Type: Gate to Type: SLA. These modifications will help the company to improve the efficiency of its sales follow-up and enhance its velocity reporting across the funnel, as well as to ensure that a salesperson follows up with leads within 4 days. Adding an additional stage between ''Sales Person'' and ''Opportunity'' will enable the Consultant to create a separate stage for leads that are being worked by Sales but have not yet become opportunities, as well as to measure the conversion rate and velocity of this stage. Setting type to SLA and setting Max Age to 3 days for this stage will enable the Consultant to define a service level agreement (SLA) between Marketing and Sales, as well as to monitor and measure the compliance and performance of Sales. Modifying the Sales Person stage from Type: Gate to Type: SLA will enable the Consultant to specify the maximum time that a lead can stay in the Sales Person stage before it is moved to another stage or marked as non-compliant. Setting Max Age to 4 days for this stage will enable the Consultant to align with the Sales leader's goal of following up with leads within 4 days.
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.)
Answer : A, C
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.