1. SamanthaHill
Q Data analytics: Big Kahuna Burger
Type of work: Data analytics
Date: April 1st
– June 20th
Audience targeted: Internal engagementteam
Strategy: To produce a weekly
suite of materialstobe
presentedtothe internal
engagementteamtoanalyse
whatemailsandnewsarticles
have beensentoutovera
weeklybasisandif these
reachedtheirtargetedaudience
Objective:
 To understandwhysome articlesare popularand
some are not
 To discussthe positive andnegativeaspectsof
articlessentoutunderthe Global Consumer
Healthcare internal tagandemailssendfromthe
CH Global Commsinbox
Involvement:
To pull togetherthe researchandpresentthisbackto the
internal engagementteamatthe weeklyBigKahuna
Burgermeeting
Tactics:
- UsingAdobe MarketingCloud tosource data on
articleswhichhave beenpublishedthe previousweek
- To search fornewsarticlesusingthe source andit’s
taggingsystem
- To printoff articlesandemailstoanalyse andcritique
theirvisual appeal
- To highlightsimilaritiesbetweenpopular/unpopular
stories
- To pull togetherabank of data on everyarticle
publishedthisyear(January1st
-June1st
) tofindout
whicharticles createdthe mosttractionor fit their
purpose
Evaluation:
There has beenmanyvaluable insightsgainedfrom
thisresearchand the internal engagementteam
have beenable tofurthertailortheirapproachwhen
sendingemailsorpublishingarticlestocorrectly
target theirpreferredaudience
Reflection:
I enjoyedthisprojectbecauseIgainedinsightsintomyownwritingas
well asthat of the restof the internal engagementteam.Running
these sessionsgave me the abilitytobe creative;Iwasgivena short
brief onwhat topresentsoI couldtailorthe meetingshoweverI
thoughtwouldbe the mostbeneficial.
At first,Iwasn’tsure how to approachthismeetingandgave a very
basicoverviewof the data, however,Ihave since delveddeeperinto
the data and founditinterestingwhichIthinkcanbe seeninmy
presentingskills.