<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/72F8DD11-FBE5-43DD-BD90-BDCD3067F740" ns1:id="72F8DD11-FBE5-43DD-BD90-BDCD3067F740"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/34C64927-12B4-47E9-87ED-F080317FB382" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/34C64927-12B4-47E9-87ED-F080317FB382" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2012-11-30T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/0D95E410-2C60-43B9-A3D6-1E843831A8EF" ns1:rel="FUND" ns1:start="2011-12-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">710104</ns2:identifier></ns2:identifiers><ns2:title>Digital Business Analytics for Decision Makers</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>GRD Proof of Concept</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>There is a huge demand from the Social Media Marketing sector, marketing managers and
directors for effective solutions to the measurement of the ROI of Social Media Marketing
(SMM).
Companies that can effectively predict and measure the effectiveness of SMM on their
business will make better use of marketing budgets, maximise engagement with consumers
that can influence their market and gain an edge on their competitors.
At present, there is no accurate, accepted or robust mechanism for modelling the return of the
new and emerging marketing form that is SMM. As the buzz around Social Media grows,
more and more companies need to use this form of marketing or risk being left behind. But
many are struggling to use SMM effectively - investment decisions are often made on the
basis of gut feel or raw marketing instinct.
A shift towards a much more scientific and quantifiable mechanism for modelling the
connection between investment and return is needed. It is the identification of this need, and
the opportunity it presents, that forms the basis for our application to the TSB for funding.
Bloom Media have established a partnership with the University of Reading's Centre for the
Mathematics of Human Behaviour. The University's own research has focused on the way
that information flows through networks and created some theories that need application and
testing in the real world. Bloom Media wish to build on this academic research and apply it to
the real world social media ecosystem.
In doing so, we will research, develop, test and apply a mathetical model that can be used to
predict the relationship between investment and return on SMM by modelling how inputs into
a social network affect its outputs. We are seeking funding from the TSB to prove our
concept. Having proved that concept, we are looking to exploit the opportunity it creates
through a SaaS business proposition that makes our model widely available to the wider
business community.</ns2:abstractText></ns2:project>