Business Intelligence and Analytics
Advanced AnalyticsAffinity-Based RecommendationsAgile AnalyticsAnalytical DatabaseAnalytics ArchitectureAnalytics SuiteAnalytics-as-a-Service (AaaS)Application AnalyticsApplication Lifecycle Management (ALM)Behavioral SegmentationBig Data SecurityBusiness Intelligence ArchitectureBusiness Process Modeling (BPM)Call AttributionCloud AnalyticsCloud AutomationCollaborative FilteringColumnar DatabaseConnection StringContextual DataContinuous Intelligence (CI)Conversion AttributionCRM OnboardingCross-Channel TrackingData ActivationData BlendingData CleaningData DiscoveryData ExplorationData GovernanceData IntelligenceData MartData MiningData ModelingData PreparationData ScienceData StewardshipData StorytellingData Warehouse ArchitectureDatabase SecurityDeep LearningDescriptive AnalyticsDevOps Continuous IntegrationEdge AnalyticsEmbedded ReportingEntity Relationship Diagram (ERD)Financial Data ManagementFirmographicsGeo AnalyticsHealthcare AnalyticsHealthcare InformaticsIn-Memory BIInfused AnalyticsInteractive VisualizationKPI DashboardKPI TrackingLocation AnalyticsManaged CloudMarketing Acceleration PlatformMarketing AnalyticsMarketing Qualified LeadMobile AnalyticsMPP DatabaseNatural Language UnderstandingNet Promoter Score (NPS)Next Best Action MarketingOmnichannel RetailingOperational IntelligenceOperational ReportingPredictive Data AnalyticsPredictive MaintenancePredictive SegmentationPrescriptive AnalyticsProduct AnalyticsR AnalyticsReal Time DashboardReal-Time AnalyticsRelational DatabaseReporting PerformanceRetail AnalyticsRetention MarketingSelf-Service Business IntelligenceSQL for Data AnalysisTalent AnalyticsText MiningUnified Data ManagementUnstructured DataVisual Data AnalysisVisual Workflow
A/B TestingActive BuyerAffinity MarketingAffinity-Based RecommendationsAudience BuyingBaby BoomersBack to Back Focus GroupsBrand IdentityClickstream BehaviorCluster AnalysisCRM OnboardingCustomer Cohort AnalysisCustomer Experience Management (CEM)Customer JourneyLifestyle ResearchLifetime ValueRaceRevenue Per VisitorTarget AudienceUser IDUser-Generated Content (UGC)
Display & Native Advertising
Ad MediationAd ViewabilityAutomated bid strategyBehavioral AdvertisingContextual targetingConversion TrackingCost per acquisition (CPA)Display Advertising TrafficImpressionsInteractive Mobile AdsLocation-based Advertising (LBA)Native AdsPath Length ReportPlayable AdsProgrammatic Media BuyingRewarded Video AdsSmart 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 AnalysisCore Based Statistical Area (CBSA)Cross-Device MarketingData CollectionData MiningDirect ChannelDisplay ChannelEmail ChannelEngagement RateEye TrackingHomogeneous GroupsHypothesis TestingIndexLifestyle ResearchLikert ScaleMarket EffectivenessMarket SegmentationMarket ShareMonthly Unique VisitorsNet Promoter Score (NPS)Neural NetworkNiche MarketingNielsen RatingsObservation BiasObservation ResearchOrganic ChannelPaid Search ChannelPath Length ReportPrimary ResearchQualitative ResearchRaceReferral ChannelSocial Media ChannelWebsite Survey
MarTech and AdTech
Acme DataAdobe TargetAmazon CloudFrontAmazon RedshiftAnalanceAnswerMinerAppDynamicsBaremetricsBomboraBootstrapBrightcoveCisco CMX EngageDasherooDundas BIFivetranFunnelGoogle 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 ReportsSocialbakersSQLiteStriimTableauTobii DynavoxTrade DeskTrifactaUserExperiorVisual Website Optimizer (VWO)Wolfram MathematicaWooCommerceYellowfin BIYieldify
Mobile App Intelligence
Ad MediationAd ViewabilityAd WhalesAdjustApp Churn RateApp DemographicsApp MonetizationApp RatingApp 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-FactorLocation-based Advertising (LBA)Mobile Ad FraudMobile AttributionMonthly Active Users (MAU)Playable AdsPush NotificationRewarded Video AdsSDK MediationSearch TermsServer Side MediationYield Management
Paid Search Advertising
Ad deliveryAd extensionsAd MediationAd strengthAd ViewabilityAutomated bid strategyAverage Order Value (AOV)Combined audiencesConversion AttributionConversion TrackingCost per acquisition (CPA)Floodlight TagHeadline TestingImpressionsKeyword ResearchLocation-based Advertising (LBA)Path Length ReportQuality scoreReturn on investment (ROI)SitelinksSmart BiddingSmart ListsUser IDView-through conversion windowYield Management
Social Media Sensing
Ad ViewabilityCommunity ManagerCountry ReachImpressionsInstant MessagingLocation-based Advertising (LBA)MicrobloggingNet Media CostPinterestPlayable AdsReachReputation ManagementRewarded Video AdsRich PinsSnapchatSocial Media ConversionsSocial Media ListeningUser-Generated Content (UGC)Video Companion Impressions
Technology and Innovation
Artificial IntelligenceBig DataBlockchainData WarehouseDeep LearningDisruptive InnovationInternet of ThingsMarketing Technology StackPredictive Data AnalyticsPredictive SegmentationPrescriptive AnalyticsR AnalyticsVoice Assistants
TV Ad Measurement and Insights
Ad ViewabilityAd-supported streaming video on demand (ASVOD)Addressable TVAdvanced TVAutomatic content recognition (ACR)Broadcast Addressable TVHousehold DataLocation-based Advertising (LBA)Multichannel Video Programming Distributor (MVPD)Nielsen RatingsOver-the-top (OTT)Skinny BundleSubscription video on demand (SVOD)Targeting Rating Point (TRP)Television advertisementTelevision Viewer Rating (TVR)TV NetworkUpfrontsVideo on demand (VOD)
A Smart List is a Remarketing Audience that Analytics generates to maximize your conversions. If you are new to remarketing, you’ll find that using Smart Lists helps you quickly achieve favorable results.
How Smart Lists work?
Analytics applies machine learning to your conversion data to determine which users are most likely to convert in subsequent sessions and dynamically manages the remarketing audience to focus on those users.
Machine learning uses dozens of signals, including location, device, browser, referrer, session duration, and page depth to identify users for the audience. The model is typically updated daily to reflect the latest data to which Analytics has access, and users are automatically added to or removed from the audience based on that model.
In the event that Analytics cannot use your data to update a Smart List for more than 90 days, it reverts to a model based on similar businesses.
What’s required to generate a Smart List?
If your site generates at least 500 monthly eCommerce transactions and 10,000 daily pageviews, your Smart List is generated based on the specific factors that influence your users to convert. If your site does not generate at least 500 monthly eCommerce transactions and 10,000 daily pageviews, your Smart List is generated based on conversion data from businesses similar to yours that have opted to share their anonymized conversion data with Analytics.
How to maximize your conversions with machine learning?
A Smart List is an audience that Google Analytics creates for you automatically. Using advanced machine learning, Analytics predicts which of your website visitors are most likely to convert in the future and adds them to an audience that you can then re-engage with Google Ads. See full article for more details.
Do you want to know how your competitors are doing business?
Tell us a little about yourself below to gain data for free
Hi What’s your name?
Gotcha! Do you want to monitor any specific competitor or market?
List of Competitors
- Add competitor…
Your Data is on the Way!
Our data scientists team is working for you by collecting data and we’ll come back to you shortly with a pre-assessment and proposal.