Through a unique intersection of academic research, extensive superannuation fund experience, and a PhD in analytics, I've constructed a proprietary data driven approach to calculate a quantitative score that represents the level of engagement a fund member has with their superannuation.
The resulting data science prediction can be used to conduct analysis and segmentation of the fund membership (snapshot or time-series) so as to enable tailored behavioural economics-based strategies to be utilised to enhance engagement for improved member + fund outcomes.
Over two decades at one of Australia's largest superannuation funds, leading the enterprise-wide analytics function for customer, marketing, product, and sales, along with a 7-year analytics research collaboration with the University of Technology Sydney, gives me unique appreciation of superannuation fund data, and value adding data driven approaches that can be applied in your fund.
Has extensive data science knowledge and a PhD in ML/AI and a unique combination of academic and industry experience across financial services and digital health. Prior to commencing in the superannuation industry, co-founded the Data Science and Machine Intelligence Lab at the University of Technology Sydney, supervising 10+ members, pu
Has extensive data science knowledge and a PhD in ML/AI and a unique combination of academic and industry experience across financial services and digital health. Prior to commencing in the superannuation industry, co-founded the Data Science and Machine Intelligence Lab at the University of Technology Sydney, supervising 10+ members, publishing 40+ research papers, and delivering industry projects in a variety of financial services companies.
A seasoned administration professional with over 15 years superannuation and financial services industry experience. Has a broad customer analytics skill set covering data analysis, visualisation, statistics, and customer surveys.
We're dedicated to helping Australian superannuation funds measure and improve member engagement. With a team of experienced analytics professionals and a number of key partnerships, we offer specialized analytics solutions that address a critical challenge faced by funds in the ever-evolving superannuation industry.
Our team's combination of deep superannuation industry knowledge and advanced data science skill ensures that we provide accurate, insightful, and industry-specific analysis.
By offering end-to-end services, from survey design to engagement enhancement strategies, we simplify the process for superannuation funds and deliver integrated solutions that drive member engagement.
By accurately measuring member superannuation engagement levels and identifying areas for improvement, we empower superannuation funds to develop targeted population strategies that lead to better retirement outcomes for their members.
Our approaches are SPS515 and RiC compliant and supportive.
Our specialized expertise and comprehensive offering give superannuation funds a competitive edge in a crowded market. Demonstrating high member superannuation engagement levels can differentiate funds, attract members, reduce attrition, and lift Customer Lifetime Value.
Detailed reports, actionable recommendations, and ongoing consultancy support enable funds to make data-driven decisions. This ensures that resources are allocated effectively to engagement strategies that yield the highest impact.
Super Engaged is committed to long-term partnerships with our clients. We aim to provide ongoing cost competitive support, adapt to evolving needs, and continuously innovate our offerings to bring leading academic and analytics approaches to superannuation funds.
Please reach us at james@superengaged.com.au if your answer isn't addressed here.
The quantification of the level of connectedness between a member and their superannuation.
No. Superannuation Engagement is a distinct construct comprised of multiple dimensions and measures the level of interest between a member and their superannuation, agnostic of their fund(s).
The construct of superannuation engagement is too complex to be observed (let alone predicted) by a single behavioural attribute. It is likely that engagement can only be truly observed by considering a multi-dimensional construct that includes behavioural, psychological/cognitive, emotional, and social dimensions.
No, it is now clear that superannuation engagement is not binary and therefore superannuation customers should not be lazily categorised as "engaged" or "disengaged", rather superannuation engagement exists on a continuum, and in contrast with the extant thinking and beliefs, many customers are engaged with their superannuation – and in fact many Australian superannuation customers are very knowledgeable about technical aspects of the superannuation framework and as such highly engaged with their superannuation.
It's not as simple as saying males are more engaged than females, and younger people are less engaged than older people. This type of simple statement is not only general, it also doesn't allow for comparison between people in common classes. For instance, if you can only use truisms (aside that they're not even true), is a young male more engaged than an older female...?? This type of question can only be answered with consideration for multiple attributes and details about the member that can be coalesced into a single quantitative score that represents their superannuation engagement.
Superannuation is not constant for a member in a time-series. Personal and macro events occur that impact the engagement an individual has with their engagement. As a simple example, we understand that a likely profile for superannuation engagement would be a U-shaped curve. That is, engagement may be high in the initial phases of joining a fund, and then would likely subside until the onset of retirement whereupon it would increase to a higher level of engagement. Of course, that is being overly simple but serves to illustrate that superannuation is dynamic, not fixed.
Knowing the likely engagement level of each individual member in your superannuation fund allows you to deploy targeted strategies to members based upon their level of engagement. In doing so you can improve the retirement outcomes of your members, and you can improve business outcomes such as member retention and Customer Lifetime Value.
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