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Q1 2016
technology to identify and understand behaviors
“In 2008 we realized the vast permanent data footprint of our lives may represent the key to decoding the fundamental complexity of human beings and their behavior. We began to understand the insights, solutions, processes and predictions one could generate at massive scales and speed. We started to envision a technology that could understand and autonomously replicate human behavior with intuition, experience, and even emotion. That’s when we realized that we could change outcomes in any industry, country, language, and level of complexity. To accomplish this we built SQREEM.”
Ian Chapman-Banks, CEO and co-Founder of SQREEM Technologies
SQREEM PROVIDES ANSWERS TO PROBLEMS
Companies traditionally spend huge amounts of money in order to access new markets, identify optimal products, or devise and enhance strategies. This process is hard to scale, time consuming, and very often leads to highly subjective outcomes as it involves human beings analyzing human beings.
PROBLEM 1 : assumptions drive strategic decisions
Companies now have huge amounts of their own data and they don’t know what to do with it. Classical statistics and research have very poor track record in anticipating changes, factors of influence, and context around human behavior. Many of the current solutions available are dubious in their accuracy.
PROBLEM 2 : too much of the wrong data
Data to detect fraud and potential threats exists and is accessible. However, existing solutions are not scalable, prone to human error, or fail to understand behavioral intricacies and context. In addition, conscious malfeasance is a behavioral pattern purposely disguised as ‘normality’ or business as usual. To identify operational malfeasance an effective solution must identify an anomaly in the shape of normality.
PROBLEM 3 : anomaly detection has flaws
It is a brilliant solution towards the complexity of Big Data Intelligence. SQREEM is one of the most technically flexible analysis platforms in the market. There is no limit as to what data type, or format it is able to process. There is no comparable in the market. The technology can predict human actions and anticipate anomalies and fraud. Our products unveil unknown patterns and facts with actionable output to help clients making decision. SQREEM provides software solutions for companies across different markets to understand customers, plan strategies and tactics. The products are designed for global brands and the financial markets, but the core technology can be deployed into other industries.
CRREAMCampaign-Reach-Research-Evalua3on-And-Measurement
ConsumerBrands
P&PProfiling&Produc3onBanking&WealthManagement
BRMBehavioralRiskManagementOrganiza8onalRiskManagement
FrontrunnerAssetManagement
SavantResearch
PRODUCT PORTFOLIO
Tracks Online Traffic
Tracks All Search Activity
Reads All Blog Posts
Reads All Social-Media Posts
Reads All News Content
Tracks Mobile Device Activity
Can Integrate ANY Client Data
SQREEM maps countries
User Select (any): • Brand/Product • Target Audience • Target Behaviors
DetectOp8malTargetGroups
ViewTargetGroupBio
Industry-SpecificGroupAnalysis JourneyMapping
Media&ContentStrategy/Plan
Detectop8malgroupsacrossthousandsofpossibleaudiences,segments,behaviors,orpersonas
View&understandtargetgroupmembersandengagementchannels.Whoismytargetaudience?[GeneratedwriPenreportsanddashboards]
BuildACTIONABLEReports/Maps/Strategiescovering
millionsofbehavioralgroupaEributesin
ANYMARKET,INDUSTRY,LANGUAGE.
ChoosefromasuiteofEXECUTIONPACKAGES.
USE CASES
Spot affinities between brands and find the best location for a shop
Find the best media for a marketing campaign and the best publication/broadcast and monitor effectiveness
Identify new markets based on group of behaviors and affinities instead of using classical demographic segmentation
Understand why sales decline in a specific market, and how to react
Predict/anticipate consumer reactions to the launch of a new product
Compare product effectiveness between different markets
Identify consumer purchase intentions, wishes and needs and help developing new products and measure penetration
Measure and track product or brand awareness in selected markets
Understand what consumers look at, how they compare to and what makes them buy the product (or not)
Prevent fraud and threats by unveiling new patterns of behavior
Define new risks based on people’s behaviors and refine insurance premiums
Monitor external risks and anticipate cyber-activities
Identify what triggers stock market trades, how they are influenced and how traders’ decisions are built
Get people’s real intentions and non-declared intentions
Forensic analysis of in-house data
Bridge data from structured and unstructured sources and help companies make the best use of the Big Data, with no human interaction
• SQREEMaskedtoreviewopportuni8esinsocialclubs&othergroups(Australia)
• SQREEMfoundnorela8onshipsingeneralexceptanunusuallyhighlinkagebetweenMetLife&oneveteran’sgroup
• MetLifewasactuallyconduc8ngmassivetelemarke8ngcampaignwiththatspecificgroup
• Helpedclosedeal
• SQREEMtaskedtohelpfindnewmarketopportuni8esforbusinessgrowth
• SQREEMfoundmajordemandforusedcarloanswithaffinityforbank,butbankdidnotoffer
• ProposaltolaunchusedcarloanservicedevelopedandadoptedbyBoard
• First8meserviceforBPI
• SQREEMtaskedtoassessHNWIopportuni8es
• SQREEMdiscoveredkeydifferencesininterest/demandamongHK&SGHNWIwithdirectimplica8onsforproduct&marke8ngapproach
• UBSseparatelyvalidatedkeyinsightsandrecommenda8ons
• PresidentflewintoSGfordirectreviewthenapproved5yrdeal&sharingofclientdata
• KFC(PH)customerreviewvs.McD
• SQREEMiden8fiedkeybehavioralaPributesforthosewithandwithoutaffinityforKFC
• Twokeygroups:pregnantwomenandyouthsub-group
• Menuchanges:broughtbacknuggets&healthyop8ons
• Revampedcontent&engagementstrategyforyouth
SOME ANECDOTES FROM OUR CLIENTS
14
• DetectedallCustomers• DeconstructedCompe8torReach• Iden8fiedUnknownTargetSegments• Iden8fiedwhatexactlydrivesCustomerPurchaseDecisions• DeconstructedOp8malProductOffering• MappedEngagement&MessagingChannels
Cloud-HostedComputaOonidenOfied...(within12hrs)
• 180Watch-Makers(Globally)• 42,000BehavioralElements(Australia&Singapore)• MappingDemographics&Personali8es(LuxuryWatches)
Watchbrand WatchbrandInternalConvert ExternalConvert
Watchbrand
WatchbrandMen’sCollec;on Women’sCollec;on
Aspira8onalVIP-Culture
Connoisseur EnthusiastBrandAficionado BigSpender
(LuxuryWatchCategory) (LuxuryWatchCategory) (LuxuryWatchCategory)
CRREAMCampaign-Research-Reach-Evalua3on-And-MeasurementConsumerBrands
Leadingwatchbrand(picturenotrepresenta8ve)
AudienceOrigin:• Specialoccasiondriven• Indica8veofgijpurchasebymaleforfemale• Married,Star8ngaFamily,Mid-Life&Older• Overlapswithotherwatched• Spendingpower
DominantPricePoint:
TopCompeOtors:Limitedpersonal(male)experience,highlyrecep;vetosugges;onandguidance
TopAudienceCharacterisOcs:• WantstoLoseWeight• FollowsGlobalNews• GekngMarried• WatchesTV• LikestoDine• BuyerisNOTtherecipient,thusdiversifieduniverse
LatestPersonalFads:• TwiPer• Interna8onalNews• EntertainmentNews
TopMediaEngagement&Influence:• NewsMedia• ArtVenues&Museums-ScienceCentre• Newspapers
TopContentChannels:• Play&FollowGolf• BloggingSites• Women’sInterest• PopularPortals• NewsMagazineBlogs&Sites• Home&GardenMagazines
PercepOonBrandPersonality
PlayfulBold
Brand
DaringExci;ng
Glamour
Op;mis;c
CourageousElegant
Beauty
Hate
Love
TopMediaConsumpOon:• StreamingNews• TwiPer-NewsCoverage• Blogging
TARGETING:TwiEer-NewsCoverage,OnlineMedia&News,GolfingMagazines• SpecialOccasionpurchasebymalebuyerforfemalerecipient,(wife,daughter,etc.)• Categoryknowledgeislimitedoverallandnon-existentinthefemaledomain.• Thismakesthemhighlysugges8bleandopentoguidance.• Percep8onandpriorityiswhat‘he’assumesorprojectsontotherecipient,(designexpression,etc.)• Passionateaboutgolf.• Readsnewspapersandconsumesnewsmedia.• 45–60yearsold,specialoccasion,olderrela8veorhusband,wedding/child-birth,etc.• ThereisasignificantamountoffemaleinterestmediaconsumpOon.WearedetecOngthe
recipientandthespecial-occasion,whicharecausalfactors,yetnotdirectlyengagedinbythe
buyer.
• SpecialOccasionbrand-awarebuyersareatargetmarketforthisbrand’swatches.Leveragingthe
brandispossible,targeOnghastobefocusedonsuggesOonandguidancetomalebuyerabout
whatfemalerecipientwants.
InSummary(Connec8ngtheDots):
MostRelevant(Online)Publishers:• NoosaNews• DailyMirror• TheDailyMail• NTNews• CNN• YahooNews• StripesGi[recipientandpurchasingparty
WatchbrandExternalConvert
• IntenttoBuybrand’sWatch• ComestobrandSpecificallyforWatchPurchase• NotaCustomerOtherwise
-5.88-2.00
2.22-2.62
-7.78-5.94-5.94
6.25-4.12
-2.52
Basic(nonLux)BasicLuxOther$0.5-$1.5KBasicLuxSwiss$0.5-$1.5KEntryLuxOther$1.5-$4.5KEntryLuxSwiss$1.5-$4.5KMid-LuxOther$4.5-$10KMid-LuxSwiss$4.5-$10KTopLuxOther$10-$40KTopLuxSwiss$10-$40K
UltraLux>$40K
TargetAudience-2(T2):ExternalConvert
Flirty
Leadingwatchbrand
CRREAMCampaign-Research-Reach-Evalua3on-And-MeasurementConsumerBrands
Largeglobalbank,lookingatSingapore
• CreditCardinSingapore• PremiumBanking• Brand/ProductMarketEngagement&Percep8on• Compe88veComparison&TargetMarketReach• Iden8fiedAc8onableInsights
BehaviographicInterface LiveTracking ContextMapping SQREEMReports
+15.32%
+9.82%
10.94%
+8.82%
+8.78%
+8.53%
+8.51%
+8.01%
+7.97% +5.71%
+5.99%
+6.10%
+6.21%
+7.92% +7.37% +7.08% +6.94%
+6.68%
+5.41% +5.29% +5.27%
+5.17%
+4.99%
+4.81% +1.54%
+3.65%+4.78%
Box-Size=ThisspecificClient-BehavioralRelevance(vs.SGaverage)Box-Color=BehavioralEngagementVolume(allofSG)/DarkGreen=Large&Red=Small
Percen;lesaboveSGpopula;onaverage.Average=50thPercen;le
Dispropor8onallystrongbankClient-Affinityrela8vetomarketsize.
Dispropor8onallystrongClient-Affinityrela8vetomarketsize.
OPPORTUNITYFINDER-RESTAURANTS
(E.g.Cedele,Delifrance,etc.)
• Universalbank–verylarge• 60,000Accounts• 3millionTransac8onsperyear• 8yearsofdata• 50,000TradedInstruments• AllTradesExecutedby322Banks,Globally(incl.banktradingaccounts)• AcrossallAssetClasses• 16,000Unique(Investor)BehavioralPaPerns
LOOK-ALIKE
BRMBehavioralRiskManagement
LOOK-ALIKE
P&PProfiling&Produc8on
PassiveDetec8on
P&PProfiling&Produc3onBanking&WealthManagement
BRMBehavioralRiskManagementOrganiza8onalRiskManagement
0
10000
20000
30000
40000
50000
60000
1 84
167
250
333
416
499
582
665
748
831
914
997
1080
1163
1246
1329
1412
1495
1578
1661
1744
1827
1910
1993
2076
2159
2242
2325
2408
2491
2574
2657
2740
2823
2906
2989
3072
3155
3238
3321
3404
3487
3570
3653
3736
3819
3902
3985
4068
4151
4234
RemiEances
CommonIntent-1
CommonIntent-2
RemiPanceforPayment
RemiPanceIn/Out
DiversifiedAccountAc8vity
(Payment,Repayment,etc.
FOREX
EventSequences
EventSequenceFrequency
Real-WorldExample
0
50
100
150
200
250
300
350
400
450
500
1 90
179
268
357
446
535
624
713
802
891
980
1069
1158
1247
1336
1425
1514
1603
1692
1781
1870
1959
2048
2137
2226
2315
2404
2493
2582
2671
2760
2849
2938
3027
3116
3205
3294
3383
3472
3561
3650
3739
3828
3917
4006
4095
4184
RemiEances
0
50
100
150
200
250
300
350
400
450
500
1 3 5 7 9 1113151719212325272931333537394143454749515355
In-Out-In-Out….
Forex&Debit
Acct.MASKED-000032197• FAIL–IntentNormalcy• FAIL--Lookalike
3Lookalikes>90%Commonality
• Wearetracking450,000Brands,Products&Behaviors(700mil.People)
• BehavioralINTENT-IndexUniverse,goingbackdailyfor2yrs
• ConsumerIntent• B2B&EnterpriseAc3vity• PropertyMarkets&Construc3on• IndustrialAc3vity&RawMaterials• IntentonCapitalOuIlows
China
DailyEconomicHeartbeatofChina
FrontrunnerAssetManagement
1,800
2,300
2,800
3,300
3,800
4,300
4,800
5,300
5,800
Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 Jan-15 Feb-15 Mar-15 Apr-15 May-15 Jun-15 Jul-15 Aug-15 Sep-15 Oct-15 Nov-15
ShanghaiSSEComposite
“SQREEM has the answer to your questions. But are you prepared to take the actions?”
Rene Raiss, co-founder, SQREEM Technologies
Winner of the UBS Global Innovation Challenge Dec 2014 Mumbrella Asia Marketing Technology Company of the year May 2015 I-Com Data Venture Challenge 2015 Finalist – Winner of the Audience Vote Nominated for a Cannes Lion in Innovation by the Unilever Foundry - awarded June 22nd Cannes contact: [email protected]