Fleetfoot is our driver engagement and behaviour change tool for fleet telematics companies. We use game mechanics and real world rewards, combined with telematics hardware and data, to motivate and engage drivers of light commercial vehicles.
Professional, safe and efficient driving is seen as a way to improve brand image for many companies. However, what does data from a safe driver look like? How can it be visualised, and how does this differ across users?
What is needed to convince the insurance community? Can it be historically back-tested and will it result in a reduction of risk and lower insurance premiums for better drivers and safer operators?
SmartKlub is a start up with the aim of "Empowering Cities Together". It is creating new distributed energy project facilitation models to transform how cities and communities power themselves. It is actively working at city scale to join up the various actors of the energy supply chain, with city stakeholders, to co-create the projects required to build city scale distributed energy schemes and social capital. This is a complex multi-layered problem where easy sharing of best practice and creation of economies of scale are paramount to making community energy mainstream. SmartKlub has identified the need for a platform that implements a Local Energy Marketplace where supply chains use a city asset register to collaborate and form bespoke offers to communities, businesses and civic authorities alike. This allows integrated system thinking to be applied to disparate energy assets within a city. The platform will use an open data and mapping architecture as a free to use tool for suppliers to understand and propose scale solutions of current and future solutions and technologies.
Organisations such as Call Credit, Experian and Equifax have built multi-million pound
businesses through selling and trading in personal data. These organisations make money out
of individual’s data but, until recently with the rise of websites like Quidco, the individuals
themselves had seen little benefit in return. Even with the rise of organisations like Quidco,
the majority of individuals in the UK see no benefit from others trading in their personal data.
There is an opportunity to shift the value exchange for the benefit of individuals. We’ve seen
this start with websites like Quidco, but we believe there is an opportunity for a bigger, more
socially inclusive idea. This value exchange can be managed by a mutual, to provide benefit
for whole communities rather than for individuals. There is an opportunity and a need to
create a “customer owned data mutual” to manage the value exchange individuals get for
sharing for their data with third party organisations. It is our belief that a mutual business
could use revenues generated from the trading of data to provide a revenue stream for
individuals as well as providing cash and group buying power for community projects. The
mutual would create a data exchange for this fair trading of data. This project would look at
the remit for creating such a data exchange, and whether a mutual really is the right approach,
and understand which partners need to be included, how the data exchange would fit into the
political, economic and social landscape and what technical requirements the exchange would
need to be successful
Bloom Agency are a full service, integrated agency with thirteen years experience of
delivering award winning complex data integration and analytics projects. We are one of the
few marketing agencies who are capable of handling data at scale and in creative ways.
Modern advertising professionals are beginning to use more data and analytics to drive
insight, rather than use gut feelings alone. They use data to understand consumer behaviour
and identify opportunities. They translate those insights into integrated marketing strategies
across channels, with clear and measurable goals. They use advanced analytics to identify the
media and audiences that will best reach those goals, and quantify the value of each. They
analyse results and optimise to deliver more of what's working and less of what is not, and
they do it every day. In short, they use technology and data to turn ideas into results.
These approaches have been driven primarily by advertising in the online world. While the
world’s largest brands have access to data scientists and mathematicians able to write
algorithms, or the funds to purchase specialist software which does it for them, SMEs have a
significant barrier to the efficient, data driven use of display advertising. SMEs lack the scale,
resources and time, yet are most likely to benefit from well-targeted, display advertising.
This proof of market study will evaluate the market, business case and technically feasibility
of an SME focused, algorithmically driven display advertising platform.
C-MAP aims to create cross platform analytical tools for managing feedback across multiple platforms, focussing on effective collection and presentation of analytics, which will enable the option of automatic, reactive tailoring of content and delivery. C-MAP will exploit the opportunities presented by the L-DTPS, creating a toolset which will be of value to any provider in this field, but also of value to Public Service providers, who equally will benefit form effective targetting of content, including content of local area interest. The feasibilty study will investigate most effective options for this toolset and produce a demonstrator which would serve as a marketing tool, potentially to take advantage of the L-DPTS window of opportunity.
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.