How to Identify Customer Value using Dashboard ?
Updated
Sprinklr is focused on maximizing value for each customer by enabling them to meet their business outcomes within the platform. To do so, Sprinklr utilizes a trusted approach throughout the customer relationship, which is documented and tracked in the format of a Playbook. The Value Realization Model follows the customer from Sales to Discovery to Implementation to Success. Each section of the Playbook will continue to be refined as Sprinklr learns more about the client, and the client becomes more mature with our platform.
Note
This process might not follow a linear trajectory. The new clients might go through these 4 phases initially, but they could easily repeat the process 6 months later when they expand their goals. Being able to reference their tailored Value Realization Playbooks from the start ensures Sprinklr can guide the brands to full utilization and customer experience maturity.
The Relevance of the Value Realization Model
Creating a brand, that customers love, takes time. For Sprinklr to monitor, track, and assist brands to reach their goals, Value Playbooks are used as guides along a customer journey. Each phase in Value Realization Model is supported with specific collateral as follows:
Value Realization Model Phases |
Phase 1 | Sell Value | Aligns everyone with what is being delivered |
Phase 2 | Discover Value |
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Phase 3 | Implement Value | Deployment of Sprinklr Team to initiate configuration based on best practices |
Phase 4 | Realize Value | Value Realization and Adoption Dashboards, concrete metrics-driven, value-based conversations post-implementation and during upsell cycles |
Sprinklr Value Realization Dashboard
Value Realization Dashboard is a reporting dashboard that is solely aimed to find ways to leverage Sprinklr to support and drive measurable values with respect to Sprinklr PBOs and PBUCs. It consists of various input fields that help to calculate ROI, Cost Saving, Risk Assessment, etc. along with the formulae to calculate each value. These formulas have blank fields for metrics to be filled in by the user. Certain in-built metrics are also being provided to calculate these values by Sprinklr.
Sprinklr Metrics: These values are derived from the Sprinklr reporting metrics.
Customer Input: Users can input the values based on their use cases and organizations. Sprinklr provides default values that reflect industry benchmarks.
System Calculated: These values are calculated based on the formula of the Sprinklr metric and customer input.
How are Metrics Computed in VRD
Whenever someone accesses a reporting dashboard, Sprinklr tracks that access and stores it in the database for 30 days.
Sprinklr has another scheduled task that mines the stored data and exposes it in the Value Realization Dashboard (this data is permanent and does not expire in 30 days).
While evaluating the access data, Sprinklr ensures that the count is based on only one access per user per day. This is done to avoid counting accesses due to multiple page refreshes by a single user.
This data also includes views on non Ads Reporting dashboards that have one or more Ads Reporting widget(s).
What are the Sprinklr PBOs?
PBOs are Positive Business Outcomes. These are the specific and measurable business results that occur as a consequence of taking certain actions, e.g. executing PBUCs.
What are the Sprinklr PBUCs?
PBUCs are the Primary Business Use Cases. It is a summarized list of many use cases that highlight Sprinklr’s most important capabilities, demonstrate value, and lead to Positive Business Outcomes.
Understanding the Value of Using VRD
Begin with choosing a feature. For example, Smart Budget Allocation, Smart Bidding, etc.
Review the Positive Business Outcomes and Primary Business Use Cases and identify the PBO the feature is aligned with.
Identify and calculate the KPIs.
Realize the measurable value of your business/brand.
To Grant Role Level Permission
Click the New Tab icon. Under the Governance Console, click All Settings within Platform Setup.
In the Platform Settings window, select Workspace Roles or Global Roles within Manage Workspace or Manage Customer, respectively.
In the top right corner of the Roles(Settings) window, click Create Role. To learn more about creating a role, see Add a Role.
In the Add Role window, under Select Permissions, search and select Pbuc Value Dashboard and click Save in the bottom right corner.
To Navigate to Value Realization Dashboard
Click the New Tab icon. Under the Sprinklr Marketing (Ads) tab, click Value Realization within Analyze.
To Filter Value Realization Dashboard
Click the New Tab icon. Under the Sprinklr Marketing (Ads) tab, click Value Realization within Analyze.
Click the Filter icon in the top right corner of the Value Realization dashboard.
Click Add Filter to add filter(s) from the given filtering options. You can also choose quick filters by clicking Quick Filter.
Note
Value Realization filtering options will only work for PBUC 10, PBUC 11, PBUC 12, PBUC 13, PBUC 14, and PBUC 16 whereas it will not work for PBUC 15, PBUC 17, and PBUC 18.
Sprinklr Marketing (Ads) PBOs and PBUCs
PBOs or Positive Business Outcomes are the set of measurable actions opted by an organization to achieve their specific business targets.
Sprinklr’s Sprinklr Marketing (Ads) facilitates in aligning the advertising-based PBOs with the brand’s best practices. This is achieved by a summarized list of the many Use Cases (Primary Business Use Cases or PBUCs) that highlight Sprinklr’s most important capabilities, demonstrate value, and lead to Positive Business Outcomes.
In the below table, you can have an overview of what are the PBOs and PBUCs of Sprinklr Marketing (Ads). For more information, click on the respective PBOs and the attached superscript of the PBUCs.
Sprinklr Marketing (Ads) | Primary Business Use Cases | |||
PBOs | PBUCs | ||
Increase Return on Ad Spend | Improve performance with AI-powered, real-time optimizations across campaigns using standard channel metrics, custom brand calculations, and third-party analytics. (10) | Deliver personalized, compelling content to users based on their stage in the customer journey using integrated, dynamic first-party audience data. (11) | Drive better campaign performance using research and insights from the voice of the customer and external signals to inform campaign strategy and execution. (12) |
Improve Advertising Productivity | Streamline campaign production using channel-agnostic automation and workflows that drive real-time collaboration between internal and external teams. (13) | Reduce time and manual effort required to manage and optimize campaigns using AI-powered tools across modern channels. (14) | Review real-time, automated reporting dashboards using standard channel metrics, custom brand calculations, and third-party analytics to uncover timely insights, monitor pacing, and compare performance to benchmarks to improve advertising strategy. (15) |
Protect Brand's Reputation | Govern every ad dollar with creative and campaign level approvals as well as budgetary controls. (16) | Eliminate the risk of unauthorized advertising with an auditable governance structure that manages user access based on roles and responsibilities. (17) | Minimize brand risk through comprehensive dark post comment moderation and the ability to quickly stop advertising across channels during PR crises. (18) |
Increase Return on Ad Spend
PBUC 10: Improve performance with AI-powered, real-time optimizations across campaigns using standard channel metrics, custom brand calculations, and third-party analytics. |
10a: Strategy Groups - create optimization strategies to increase ROAS across multiple campaigns |
Adoption
Strategy Groups Created |
Campaigns with Strategy Groups applied ÷ Delivering Campaigns = Revenue Opportunity |
10b: Smart Budget Allocation - Improve ROAS by optimizing budgets across campaigns and ad sets leveraging Sprinklr’s real-time AI-powered Budget Allocation functionality |
Adoption
Spent By Optimization across Campaigns + Spent by Optimization across Ad Sets = Spend Controlled by Optimizations ÷ Total Spent = Spend Controlled by Optimizations |
Value Realized
Savings by Optimization across Campaigns + Savings by Optimization across Ad Sets = Revenue Opportunity |
10c: Smart Bidding - Optimize Ad Set bids for a lower cost per action using Sprinklr’s AI-driven Smart Bidding to increase your ROAS |
Adoption
Spent by Ad Sets Using Smart Bidding ÷ Total Spent = Spend Controlled By Smart Bidding |
Value Realized
Spent by Ad Sets using Smart Bidding x Average Savings Percentage = Revenue Opportunity |
10d: Smart Ad Rotation - Improve ROAs by avoiding Ad Fatigue via automated ad rotation |
Adoption
Ad Sets Using Smart Ad Rotation ÷ Delivering Ad Sets = Ad Sets using Smart Ad Rotation |
Value Realized
Spent by Ad Sets Using Smart Ad Rotation x Average Savings Percentage = Revenue Opportunity |
10e: Smart Day Parting - Ensure optimal campaign delivery via Smart Day Parting to increase ROAs |
Adoption
Ads using Smart Day Parting ÷ Delivering Ads = Ads using Smart Day Parting |
Value Realized
Spent by Ads Using Smart Day Parting x Average Savings Percentage = Revenue Opportunity |
10f: Stop Loss - Increase media efficiency by automating the pausing of poor performing ads relative to your campaign KPIs |
Adoption
Ads using Stop Loss ÷ Delivering Ads = Ads using Stop Loss |
Value Realized
Spent by Ads using Stop Loss x Average Savings Percentage = Revenue Opportunity |
PBUC 11: Deliver personalized, compelling content to users based on their stage in the customer journey using integrated, dynamic first-party audience data. |
Smart Audience Engine - Target using advertising potential customers, unhappy customers of competitors, life stages |
Adoption
Ad Sets using Smart Audiences ÷ Delivering Ad Sets = Delivering Ad Sets |
Value Realized
Spent by Ad Sets using Smart Audiences x Average Savings Percentage = Revenue Opportunity |
PBUC 12: Drive better campaign performance using research and insights from the voice of the customer and external signals to inform campaign strategy and execution. |
12a: Auto Boost Rules - Improve ROAS by identifying opportunities to boost organic content via automated rules |
Adoption
Ads Created by Auto Boost Rule |
Value Realized
Spend by Auto Boosted Ads x Average Savings Percentage = Revenue Opportunity |
12b: Rule Engine - Increase ROAs by automating optimization actions using both channel and external (weather, sports, and listening) triggers |
Adoption
Spent via Weather Rules + Spent via Listening Rules + Spent via Sports Rules + Spent via Optimization Rules (Rules which modify the budget, bid or status) = Total Spent via Rule Engine |
12c: Dynamic Image Templates - Increase ROAs by creating personalized content at scale using text and image overlays |
Adoption
Spent by Campaigns using Dynamic Image Templates ÷ Total Spent = Spent by Campaigns using Dynamic Image Templates |
Value Realized
Spent by Campaigns using Dynamic Image Templates x Average Savings Percentage = Revenue Opportunity |
Improve Advertising Productivity
PBUC 13: Streamline campaign production using channel-agnostic automation and workflows that drive real-time collaboration between internal and external teams. |
13a: Spend - Total spend across all your paid social channels |
Adoption
Spent Via Sprinklr ÷ Total Spent = Spent Via Sprinklr |
13b: Ad Composition - Improve productivity by creating ads through Sprinklr's omni-channel ads composition tools (Ads Composer, Ads Manager, Cloning & Boosting) |
Adoption
Ads created in Sprinklr ÷ Total Ads created = Ads created in Sprinklr |
Value Realized
Ads Created in Sprinklr x Time saved by building the Ad Via Sprinklr ÷Minutes per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
13c: Ad Composition - Improve productivity by creating ads through Sprinklr's omni-channel ads composition tools (Import Functionality) |
Adoption
Ads created in Sprinklr (Import Functionality) ÷ Total Ads Created = Ads Created in Sprinklr |
Value Realized
Ads created in Sprinklr (Import Functionality) x Time saved by building the Ad via Sprinklr ÷ Minutes per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
13d: Ads Creative Library - Improve productivity of agency & brand teams through creative collaboration |
Adoption
Published Ad Post Built in Ads Creative Library ÷ Total Ad Posts = Ad post built in Ads Creative Library |
Value Realized
Published Ad Posts built in Ads Creative Library x Time saved by building the Ad Post via Sprinklr ÷ Minutes per work day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
13e: DCM Integrations - Introduce efficiencies through automatic trafficking of 3rd party tags |
Adoption
Sprinklr created Ads using DCM ÷ Total Ads Using DCM = Sprinklr created Ads using DCM |
Value Realized
Sprinklr created ad variants using DCM x Required to manually apply DCM outside of Sprinklr ÷ Minutes per work day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
13f: Web Analytics - Introduce efficiencies through automatic trafficking of 3rd party tags |
Adoption
Sprinklr created ad variants using Web Analytics ÷ Created Ads = Sprinklr created ad variants using Web Analytics |
Value Realized
Sprinklr created ad variants using Web Analytics x Minutes Required to manually apply Web Analytics outside of Sprinklr ÷ Minutes Per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
13g: Naming Conventions - Institutionalize best practices such as naming conventions, reporting templates & rules across agency & brand teams for campaign consistency |
Adoption
Campaigns Using Naming Conventions ÷ Created Campaigns = Campaigns Using Naming Conventions |
Value Realized
Campaigns Using Naming Convention x Minutes Required to Manually Name Campaigns ÷ Minutes Per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
13h: Auto Boost - Save time on organic post boosting by using Sprinklr's Auto Boost Capabilities |
Adoption
Ads Created by Auto Boost Rule |
Value Realized
Ads Created by Auto Boost Rule x Minutes Required to Manually Boost a Post ÷ Minutes Per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
13i: Ads Macros - Save time on campaign management by simultaneously applying changes across multiple entities |
Adoption
Ads impacted by Macros |
Value Realized
Ads impacted by Macros x Minutes Required to manually edit an entity ÷ Minutes per work day = Work Days Saved x Average Annual User Salary = Average Annual User Salary |
PBUC 14: Reduce time and manual effort required to manage and optimize campaigns using AI-powered tools across modern channels. |
14a: Smart Budget Allocation - Save time by automating budget optimizations leveraging Sprinklr’s real-time AI-powered Budget Allocation functionality |
Adoption
Spent by Optimization across Campaigns + Spent by Optimization across Ad Sets = Spend Controlled by Optimization ÷ Total Spent = Spend Controlled by Smart Budget Allocation |
Value Realized
Total Time when Budgets were Modified x Required Per Manual Budget Change ÷ Minutes Per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
14b: Smart Bidding - Save time by automating bid management leveraging Sprinklr’s Smart Bidding |
Adoption
Spent by Ad Sets Using Smart Bidding ÷ Total Spent = Spend Control by Smart Bidding |
Value Realized
Total Time when Bids were Modified x Minutes per Manual Bid Change ÷ Minutes per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
14c: Smart Ad Rotation - Save time through automated Ad Rotation to avoid creative fatigue |
Adoption
Ad Sets Using Ad Rotation ÷ Delivering Ad Sets = Ad Sets Using Smart Ad Rotation |
Value Realized
(Total Time Ads Were Activate + Total Time Ads were Paused) x Minutes Required per Manual Ad pause/activation ÷ Minutes per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
14d: Smart Day Parting - Save time by automating campaign scheduling and delivery |
Adoption
Ads Using Smart Day Parting ÷ Delivering Ads = Ads Using Smart Day Parting |
Value Realized
Scheduling Actions Taken by Smart Day Parting x Minutes Required to Manually Schedule an Ad ÷ Minutes per Work Day = Work Days Saved x Average User Annual Salary = Revenue Opportunity |
14e: Rule Engine - Save time by automating manual actions like pausing or activating ads, tagging, modifying budgets, etc. |
Adoption
Ads modified by Paid Rules ÷ Delivering Ads = Ads modified by Paid Rules |
Value Realized
Ads modified by Paid Rules x Minutes Required per Manual action on an Ad ÷ Minutes per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
14f: Stop Loss - Save time by automating the pausing of poor performing ads relative to your campaign KPIs |
Adoption
Ads modified by Stop Loss ÷ Delivering Ads = Ads modified by Stop Loss |
Value Realized
Ads modified by Stop Loss x Minutes Required to manually identify and pause an Ad ÷ Minutes per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
PBUC 15: Review real-time, automated reporting dashboards using standard channel metrics, custom brand calculations, and third-party analytics to uncover timely insights, monitor pacing, and compare performance to benchmarks to improve advertising strategy. |
15a: Reporting Dashboards - Improve productivity of agency and brand teams by creating dashboards for real-time analysis |
Adoption
Number of Paid Dashboards Viewed + Total Paid External Shared Dashboards Viewed = Total Paid Dashboards Viewed |
Number of Paid Widgets Viewed + Total Paid External Shared Dashboards Viewed = Total Widgets Viewed |
Number of Channels Used in Reporting ÷ Number of Channels Supported in Reporting = Channels Used |
Number of Third Party Solutions Used in Reporting ÷ Number of Third Party Solutions Supported in Reporting = Third Party Solutions Used |
Number of Widgets Filtered Using Custom Fields and Sprinklr Campaigns ÷ Number of Widgets Viewed in Paid = Custom And Sprinklr Campaign Filter in Widgets |
Number of Third Party Metrics Used in Widgets x Number of Third Party Metrics Queries + Number of Metrics Used in Single Channel Filter Widgets x Number of Single Channel Filter Queries + Number of Metrics Used in Multi Channel Filter Widgets x Number of Multi Channel Filter Queries = Total Metrics |
Number of Third Party Metrics Used in Widgets x Number of Unified Analytics Queries = Total Unified Metrics |
Number of Widgets Exported x Number of Export Widget Queries + Number of Dashboards Exported x Number of Export Widget Queries = Total Exports |
Adoption
Number of Ads Integrated Using FTP/SFTP |
Number of Third Party Metrics Used in Widgets x Number of Third Party Metrics Queries = Total Third Party Metrics Query in Pivots |
Value Realized
Number of Paid Dashboards Viewed x (Hours Required per Dashboard without Using Sprinklr - Hours Required per Dashboard with Sprinklr)÷ Hours per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
(Number of Pivots Viewed in Paid + Number of Pivot levels created in Paid) x Hours required per pivot without using Sprinklr ÷ Hours per work day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
15b: Report Automation - Centralize your performance analytics across channels and share insights with executives, other departments and teams |
Adoption
Number of Scheduled Exports (Time Range = Lifetime) |
Value Realized
Number of Scheduled Exports (Time Range = Lifetime) x (Hours Required per Report Without Using Sprinklr - Required per Report with Sprinklr) ÷ Hours per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
15c: Pacing Groups - Monitor campaign budget pacing in real-time to ensure correct delivery of budgets |
Adoption
Total Spent by Campaigns using Pacing Groups ÷ Total Spent = Total Spent by Paid Initiatives using Pacing Groups |
Value Realized
Campaigns Using pacing Groups x Average Campaign Duration on which Pacing Groups are Applied x Minutes Required daily per Campaign ÷ Minutes per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
15d: Campaign Benchmarking - Analyze campaign performance against benchmarks to improve ROAS |
Adoption
Campaigns Tagged with Benchmarks ÷ Delivering Campaigns = Campaigns Tagged With Benchmarks |
Value Realized
Campaigns Tagged with Benchmarks x Average campaign duration on which campaign benchmarks are applied x Minutes Required daily per Campaign ÷ Minutes per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
15e: Ad Benchmarking - Analyze campaign performance against benchmarks to improve ROAS |
Adoption
Ads Tagged with Benchmarks ÷ Delivering Ads = Ads Tagged With Benchmarks |
Value Realized
Ads Tagged with Benchmarks x Average ad duration on which campaign benchmarks are applied x Minutes Required daily per ad ÷ Minutes per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
Protect Brand's Reputation
A brand’s reputation is the ultimate measure of its ethics and business hygiene. Sprinklr helps you protect it by proactively detecting and managing crises with features such as Approvals Queues and much more.
PBUC 16: Govern every ad dollar with creative and campaign level approvals as well as budgetary controls. |
16a: Budget Sources - Protect against campaign overspends by automating the budget control across campaigns and time periods |
Adoption
Campaigns using Budget Source ÷ Delivering Campaigns = Campaigns Using Budget Sources |
Value Realized
Spend Controlled By Budget Sources x Average Savings = Saved using Budget Sources |
16b: Campaign Approval - Protect your brand's reputation by ensuring Campaign contents follow compliance guidelines |
Adoption
Campaigns Involved in Approval Queues ÷ Created Campaigns = Campaigns sent for approval in Sprinklr |
Volume of Campaign Approvals ÷ Campaigns involved in Approval Queues = Campaigns Approval Rate |
Volume of Campaign Rejections ÷ Campaigns involved in Approval Queues = Campaigns Rejection Rate |
Total Time taken to Approve Campaigns ÷ Volume of Campaign Approvals = Average Approval Time per Campaign (Days) |
Users involved in Approving/Rejecting Campaigns |
Users involved in Submitting Campaigns for approval |
Value Realized
Campaigns Approved x Minutes taken to Approve Campaign without Sprinklr - Average Approval time per Campaign ÷ Minutes Per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
16c: Ad Set Approval - Protect your brand's reputation by ensuring Ad Set contents follow compliance guidelines |
Adoption
Ad Sets involved in Approval Queues ÷ Created Ad Sets = Ad Sets sent for approval in Sprinklr |
Volume of Ad Set Approvals ÷ Ad Sets involved in Approval Queues = Ad Sets Approval Rate |
Volume of Ad Set Rejections ÷ Ad Sets involved in Approval Queues = Ad Sets Rejection Rate |
Total Time taken to Approve Ad Sets ÷ Volume of Ad Set Approvals = Average Approval Time per Ad Set (Days) |
Users involved in Approving/Rejecting Ad Sets |
Users involved in Submitting Ad Sets for approval |
Value Realized
Ad Sets Approved x Minutes taken to Approve Ad Set without Sprinklr - Average Approval time per Ad Set ÷ Minutes per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
16d: Ad Approval - Protect your brand's reputation by ensuring Ad Variant contents follow compliance guidelines |
Adoption
Ads involved in Approval Queues ÷ Created Ads = Ads sent for approval in Sprinklr |
Volume of Ad Approvals ÷ Ads involved in Approval Queues = Ads Approval Rate |
Volume of Ad Rejections ÷ Ads involved in Approval Queues = Ads Rejection Rate |
Total Time taken to Approve Ads ÷ Volume of Ad Approvals = Average Approval Time per Ad (Days) |
Users involved in Approving/Rejecting Ads |
Users involved in Submitting Ads for approval |
Value Realized
Ads Approved x Minutes taken to Approve Ad without Sprinklr - Average Approval time per Ad ÷ Minutes per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
16e: Ad Post Approval - Protect your brand's reputation by ensuring creative contents follow compliance guidelines |
Adoption
Ad Posts involved in Approval Queues ÷ Created Ad Posts = Ad Posts sent for approval in Sprinklr |
Volume of Ad Post Approvals ÷ Ad Post involved in Approval Queues = Ad Post Approval Rate |
Volume of Ad Post Rejections ÷ Ad Post involved in Approval Queues = Ad Post Rejection Rate |
Total Time taken to Approve Ad Post÷ Volume of Ad Post Approvals = Average Approval Time per Ad Post (Days) |
Users involved in Approving/Rejecting Ad Posts |
Users involved in Submitting Ad Posts for approval |
Value Realized
Ad Posts Approved x Minutes taken to Approve Ad Post without Sprinklr - Average Approval time per Ad Post ÷ Minutes per Work Day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
PBUC 17: Eliminate the risk of unauthorized advertising with an auditable governance structure that manages user access based on roles and responsibilities. |
17a: Dynamic User Groups & Permissions - Protect your brand by leveraging Sprinklr's centralized system to manage access across all paid social pages and ad accounts |
Adoption
Active Platform Users ÷ Total Platform Users = Active Platform Users |
17b: Accounts & Permissions - Protect your brand by leveraging Sprinklr's centralized system to manage access across all paid social pages and ad accounts |
Adoption
Ad Accounts authenticated in Sprinklr |
Value Realized
Spent through Ad Accounts X Average Savings = Saved using Budget Sources |
PBUC 18: Minimize brand risk through comprehensive dark post comment moderation and the ability to quickly stop advertising across channels during PR crises. |
18a: Comment Moderation - Protect your brand's reputation by introducing visibility to the post comments across all paid social activity |
Ad Post Engagement Adoption
Messages Engaged on Ad Posts ÷ Messages Received on Ad Posts = Total Ad Posts |
Ad Post Engagement Value Realized
Messages Engaged on Ad Posts ÷ Minutes Saved per comment moderated ÷ Minutes per work day = Work Days Saved x Average Annual User Salary = Revenue Opportunity |
18b: Crisis Switch - Protect your brand by switching off all paid activity with one click during times of crisis |
Adoption
[Campaigns Affected by Crisis Switch] [Ad Sets Affected by Crisis Switch] [Ads Affected by Crisis Switch] |