Business Intelligence and Analytics
Advanced AnalyticsAgile AnalyticsAnalytical DatabaseAnalytics ArchitectureAnalytics-as-a-Service (AaaS)Application AnalyticsApplication Lifecycle Management (ALM)Behavioral SegmentationBig Data SecurityBusiness Intelligence ArchitectureBusiness Process Modeling (BPM)Cloud AnalyticsCloud AutomationColumnar DatabaseConnection StringContextual DataData BlendingData CleaningData DiscoveryData ExplorationData GovernanceData IntelligenceData MartData MiningData ModelingData PreparationData ScienceData Warehouse ArchitectureDatabase SecurityDescriptive AnalyticsDevOps Continuous IntegrationEdge AnalyticsEmbedded ReportingEntity Relationship Diagram (ERD)Financial Data ManagementGeo AnalyticsHealthcare AnalyticsHealthcare InformaticsIn-Memory BIInteractive VisualizationKPI DashboardKPI TrackingLocation AnalyticsManaged CloudMarketing AnalyticsMobile AnalyticsMPP DatabaseNatural Language UnderstandingOperational IntelligenceOperational ReportingPredictive Data AnalyticsPredictive MaintenancePrescriptive AnalyticsR AnalyticsReal Time DashboardReal-Time AnalyticsRelational DatabaseRetail AnalyticsSelf-Service Business IntelligenceSQL for Data AnalysisTalent AnalyticsText MiningUnified Data ManagementVisual Data Analysis
A/B TestingActive BuyerAffinity MarketingAudience BuyingBaby BoomersBack to Back Focus GroupsBrand IdentityClickstream BehaviorCluster AnalysisCustomer Cohort AnalysisCustomer Experience Management (CEM)Customer JourneyLifestyle ResearchLifetime ValueRaceRevenue Per VisitorTarget AudienceUser IDUser-Generated Content (UGC)
Display & Native Advertising
Automated bid strategyBehavioral AdvertisingContextual targetingConversion TrackingCost per acquisition (CPA)Display Advertising TrafficInteractive Mobile AdsNative AdsPath Length ReportProgrammatic Media BuyingSmart ListsUser IDVideo Companion ImpressionsVideo PublisherView RateView-through conversion windowYield Management
- Email Marketing
Market Research & Traffic Analysis
A.C. Nielsen Retail IndexA/B TestingAd Concept TestingAd Hoc ResearchAdobe AnalyticsAffinity MarketingBack to Back Focus GroupsCluster AnalysisData CollectionData MiningDirect ChannelDisplay ChannelEmail ChannelEngagement RateHomogeneous GroupsHypothesis TestingIndexLifestyle ResearchMarket SegmentationMarket ShareMonthly Unique VisitorsNielsen RatingsOrganic ChannelPaid Search ChannelPath Length ReportPrimary ResearchQualitative ResearchRaceReferral ChannelSocial Media Channel
MarTech and AdTech
Acme DataAdobe TargetAmazon CloudFrontAmazon RedshiftAnalanceAnswerMinerAppDynamicsBaremetricsBomboraBootstrapBrightcoveCisco CMX EngageDasherooDundas BIFunnelGoogle BigQueryGoogle Data StudioGoogle Marketing PlatformGoogle OptimizeHoneywell Operational IntelligenceIBM Cognos AnalyticsIBM InfoSphere Data ArchitectInspectletJenkinsKissflowKNIME Analytics PlatformLiveRampLookerMarketing Technology StackMarketoMicrosoft Power BIMicrosoft SQL Server ReportingNutanixOptimizelyPendoPowerCenter InformaticaQlikViewSalesforce PardotSAP Crystal ReportsSocialbakersSQLiteStriimTableauTrade DeskTrifactaUserExperiorVisual Website Optimizer (VWO)Wolfram MathematicaWooCommerceYellowfin BIYieldify
Mobile App Intelligence
Ad WhalesAdjustApp Churn RateApp DemographicsApp MonetizationApp Store TrafficApplication Lifecycle Management (ALM)AR (Augmented Reality) AdvertisingAverage Revenue Per Paying User (ARPPU)Cross PromotionDaily Active Users (DAU)Dynamic TestingIn-App AdvertisingIn-App BiddingInstant MessagingInteractive Mobile AdsK-FactorMobile Ad FraudMobile AttributionMonthly Active Users (MAU)SDK MediationSearch TermsYield Management
Paid Search Advertising
Ad deliveryAd extensionsAd strengthAutomated bid strategyCombined audiencesConversion TrackingCost per acquisition (CPA)Floodlight TagKeyword ResearchPath Length ReportQuality scoreReturn on investment (ROI)Smart BiddingSmart ListsUser IDView-through conversion windowYield Management
Social Media Sensing
Country ReachInstant MessagingMicrobloggingNet Media CostPinterestReachReputation ManagementRich PinsSnapchatSocial Media ConversionsSocial Media ListeningUser-Generated Content (UGC)Video Companion Impressions
- Technology and Innovation
TV Ad Measurement and Insights
Ad-supported streaming video on demand (ASVOD)Addressable TVAdvanced TVAutomatic content recognition (ACR)Broadcast Addressable TVHousehold DataMultichannel Video Programming Distributor (MVPD)Nielsen RatingsOver-the-top (OTT)Skinny BundleTargeting Rating Point (TRP)Television advertisementTV NetworkUpfrontsVideo on demand (VOD)
Life Time Value or LTV is an estimate of the average revenue that a customer will generate throughout their lifespan as a customer. This ‘worth’ of a customer can help determine many economic decisions for a company including marketing budget, resources, profitability, and forecasting. It is a key metric in subscription-based business models, along with MRR (Monthly Recurring Revenue).
How do you calculate lifetime value?
To calculate customer lifetime value you need to calculate average purchase value, and then multiply that number by the average purchase frequency rate to determine customer value. Then, once you calculate average customer lifespan, you can multiply that by customer value to determine customer lifetime value.
What is the importance of Customer Lifetime Value?
Customer Lifetime Value (CLTV) is one of the most important metrics that businesses track. CLTV, also known as Lifetime Value (LTV), is the amount of money your customer is worth to you over the entirety of your business relationship. Or simply put, it is the total amount of money that a customer will spend on your business over their lifetime. Read the full article for more details.
How do you define customer lifetime value?
In marketing, customer lifetime value (CLV) is a metric that represents the total net profit a company makes from any given customer. CLV is a projection to estimate a customer’s monetary worth to a business after factoring in the value of the relationship with a customer over time.
What is a CLV score?
Simply stated, your CLV score is a numeric representation of how valuable you are as a customer to a given company. If you are a reliable and repeat purchaser of goods and services – without needing to be enticed to buy with a discount coupon – then you’ve probably got a great CLV score with businesses.
Is LTV revenue or profit?
Using revenue instead of profit to calculate your LTV can dramatically overvalue customers, leading you to believe you can spend far more to acquire them than is actually sustainable. However, LTV should always be a measure of profit, not revenue.
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