Automated systems are a powerful marketing asset to have, but only if human control is established to advertise to the correct LP segments.
TL;DR: document clear rules for automated ad systems.
A salient Substack essay has found the mistakes of implementing uncontrolled technology. But learning the lessons from the case study helps guide investment firms on a surer footing when using automated systems.
As the author writes, Knight Capital lost over $400 million in less than an hour in2012 when its trading software ran without adequate limits.
Today’s automated ad products (Google’s Performance Max and Meta’s AI-driven campaigns) hand spending authority to software in a similar fashion. If left alone (again!) it may lead to disaster.
Instead, a proposed solution is tied to the SEC’s Market Access Rule, to conduct a written “mandate” before any budget is released, which details:
- What the system’s objective is is
- Permitted audiences, and regions
- Obvious things it may buy, and what it should never touch
- Budget ceilings
- Named owners
- What evidence supports stopping it immediately
So, what does this mean for fund marketers?
Interestingly, fund marketers are well placed to act on this, given that the logic mirrors controls for their own trading desks – as well as the stakes for fund marketing being lower than consumer brands.
There are still risks to consider. Wasted budgets, for one. But also that an algorithm optimising for clicks or leads expands targeting beyond the intended audience.
For instance, a LinkedIn or Google campaign for a strategy only built for professional investors could drift into retail audiences, and into wrong jurisdictions. That risks fund promotion breaches in the US and UK.
Also, reported ‘conversions’ by automated systems will choose cheap, irrelevant leads as their own success metric, rather than monthly or year-long engagements or mandates that institutional sales teams should rely on.
Going forward, firms should switch off audience expansion and placement automation settings to restrict promotions to where they are intended, and leave new budgeting and audience decisions to humans.
And, as always, marketers should measure these automatically reported metrics against CRM-tracked meetings or DDQs to confirm their legitimacy.
Source
Substack, “Give the Machine a Mandate Before You Give It a Budget” (via TLDR Marketing)
