Find out more about our existing features! Marketing Machine Online shops have competitive advantage when using edrone marketing machine.Our module in edrone called Marketing Machine will personalized your main web page so each of your visitors can receive an offer based on his/her personal preferences and expectations. This groundbreaking technology allows the shop owners to create recommendations best suited to your customers based on their shopping behaviours. edrone Marketing Machine is more then recommendation frame. How does it work? Do you want to know more? https://www.linkedin.com/company/edrone/

1. edrone
marketingmachine

2. edrone
marketing
machine
Intelligent
personalization
oftheofferin
yourstore
SEGMENTOFONE
Eachclickinyourstorebuildsthecustomer'sprofile.Segmentof
oneisthemostdetailedtypeofsegmentation,meaningthatwe
willbuildasmanyprofilesandmatchingoffersasmany
customersyouhave.
MACHINELEARNING
Yourstoreischangingalongwiththevisitingcustomers.With
eachvisitandevenpagereloading,yourofferwillbebetter
matchedtothevisitor
PRODUCTRECOMMENDATIONS
Themostadvancedrecommendationblock.Wecanrecommend
productsmatchedtothevisitor'sbehavioronthehomepage,and
wecanrecommendrelatedproductsontheshoppingcartpage.
Yourfavoritebrands:
Customersalsobought:
NewBalance580 AdidasSuperstar NikeWoman’sBag NewBalanceBackpack
MENU 159,87$
2products
Recommended
foryou:
NewBalance580

3. Morethan
arecommendation
frame
Productsrecommendedforyou:
ELECTRICKETTLE1700ML,SMEG TOASTER,CHROMESMEG BREADBOXMETALOWYBEŻOWY43CM
Recommendedforyou
onthebasisofthelast
shopping:
TEACUP,200ML
Thenewedronemodulewillpersonalizeyourstore'shome
pagesothateveryvisitorreceivesanofferbasedontheir
personalpreferencesandexpectations.Basedoncustomer
behavior,wecreaterecommendationsofthebestmatched
products.Ifacustomervisitsthestoreforthefirsttime,we
willbuildanofferinsuchawaythateachclickona
productonthesitebuildsauniquecustomersegment.
ThanksThanksto"segmentofone"yourwebsitewillhaveasmany
versionsasmanyclientsandvisitorsyouhave.
Franchise 30daystoreturnPL/BG /EN

4. Machine
Learning
starts
withthe
homepage
MAN WOMAN KIDS
Whatareyoulookingfor?
Findyourfavoritebrands:
AdidasclassicbackpackAdidasEnergyCloud AdidasGazelleW
Productsrecommendedspecificallyforyou:
FIRSTVISIT1
SECONDVISIT2
THIRDVISIT3

5. Plugandplay
machinelearning
Youdecideonyourownwhatwilltheautomatic
customersegmentationbebasedon:
Sex
Favoritebrands
Categoriestheyareinterestedin
Productswhichtheybuy
Discountsandsales
Additionstothemainpurchase
PProductcharacteristics
EdroneDeveloper

6. BelikeZalandoandAmazon
Howdoesitwork?
Amazon,andlaterZalando,basedtheirsuccessonMachine
Learningalgorithms,i.e.thebestmatchedoffer,whichisprepared
"onthefly"onthebasisofalltheknowledgegatheredaboutthe
cuscustomer.EdroneMarketingMachineusestheinteractiveframe
thatyouplaceonyourwebsitetofindoutwhatproductsisyour
prospectiveorreturningcustomerlookingfor(whichwillaffectthe
purchasedecision),andevenwhatisthecustomer'ssexorthesize
oftheirwallet.
Automaticcustomerprofiling.
Duringthefirstvisit,inaspecialframewewilldisplaytheproducts
purchasedinyourstoremostfrequentlybywomenandthose
purchasedmostfrequentlybymen.Aclickontheproductwillassign
thecustomertotheappropriategroup.Thecustomerinformation
willbeupdatedinthefutureifthecustomershowsinterestin
productsindicatingtheothersex
Favoriteproducts
DuringthenextvisitoraDuringthenextvisitoraerthepageisreloadedwewilldisplaythe
mostpopularproductsfromtheindividualcategoriesorbrands.
individualcategoriesorbrandsAnyselectionmadeonthislevelwill
allowustodeterminewhatyourcustomerisinterestedinorwhat
aretheirfavoritebrands.
Segmentofone
Inthenextstepyourcustomerwillseeseveralproductsthatwillbe
recommendedspecificallyforthem.
Wewillfindoutwhoyourcustomerisandwhataretheir
expectations.
WewilldisplayapeWewilldisplayapersonalizedofferonyourhomepage.The
recommendationswillbematchedonanongoingbasis(along
withthesubsequentpurchasesofyourcustomerandonthebasis
ofthedecisionsofothercustomers).
FISRTVISIT1 LASTVISIT2

7. Jointheedrone
MarketingMachine!
“WewanttobuildeachnewfunctionalityofoureCRMincooperation
withe-commercespecialists.”
Wewanttoknowyouropinionandimproveoursolutions
basedonyourideas.Pleaseanswerafewquestions:
1.Wouldyouliketoimplementasimilarsolutioninyourstore?
2.Whatdoyoulikeaboutourproposal?
3.Whatshouldwechange,addorremove?
4.Wouldyoubewillingtoimplementasimilarrecommendationframeonyour
homehomepage,orjustinyourshoppingcart?
5.JHowshouldweconductsettlementswithourcustomer-afixedsubscription
orapercentagefrom'lastclick'sales?