If you read our earlier article Is Your Distribution As Good As Your Product?, you may be looking for help to prosecute your situation.
Funny you should ask! We have built a scenario analysis model to help firms quantify the cost savings and revenue uplifts that come from changing their distribution approach to people & process, adviser data and tools. It is a relatively comprehensive input / output model that provides full transparency around logic assumptions and delivers control to the user. This tool can be shared with vendors upon request (complete with a “driving” lesson).
Chart 1 – Adviser Ratings Distribution Scenario Analysis Model
The best way to road test the model is with a case study to show the sensitivities of different scenarios on the overall investment thesis. The results may surprise, but the key driver in the majority of cases is improving the effectiveness of established, well paid distribution & marketing teams. These improvements generally swamp any extra investment and ongoing costs associated with licensing 3rd party adviser data services and technology applications, especially when considered over a reasonable term of three years.
CASE STUDY – Fund Manager “Heikin” (Japanese for average)
Table 1 – Business Settings
Parameter | Setting |
FUM / average annual net fund flow | $5 billion / $250m p.a |
Distribution team size | 7 sales, 1 enablement, 2 marketing |
Distribution team fully loaded OTE | $2.73m p.a (includes 30% overhead) |
Distribution team assessed quality | Sales = Average, change required Sales Enablement / Marketing = Excellent |
Historical staff attrition rate | 20% |
Annual budgets – Sales T&E | Marketing | $250k | $400k (2% revenue) |
CRM licensed | Salesforce @ $100k p.a |
CRM usage & optimisation | Limited, more client mgt tool than prospecting |
CRM management | Handled internally |
Adviser data quality assessment | Limited |
Adviser data management | Handled internally |
Platform monthly fund flow reporting | Handled internally |
Table 2 – Scenarios
Action | Scenarios | ||
1 | 2 | 3 | |
Partially rebuild sales team (over 2 years) | Yes | Yes | |
License 3rd party adviser data source | Yes | Yes | |
Configure Salesforce using 3rd party service | Yes | ||
Configure Salesforce using internal SME resources | Yes | ||
License 3rd party platform fund flow reporting service | Yes | Yes | |
Improve use of existing / new tools & data | Yes | Yes | Yes |
Table 3 - Financial Outcomes
Results (on 3-year basis)1 | Scenarios ($k) | ||
1 | 2 | 3 | |
Net New Investment2 | 483 | 95 | 611 |
Net Cost Savings3 | 409 | 730 | 1,138 |
Revenue Uplift4 | 175 | 375 | 425 |
Net Benefit | 147 | 1,009 | 952 |
ROI | 24% | 1064% | 156% |
To find out more and to get your FREE copy of the Distribution ROI calculator contact our team.