01
Connect the book
Start with anonymized broker exports from CAMS, KFintech, or internal distributor systems.
RetainEQ gives MFDs a weekly retention console: ranked clients, plain-language reasons, next moves, and a results loop after every intervention.


This week
Broker retention console
Call first
12
Trail at risk
INR 5.1L
Saved / partial
8
SIP pause after underperformance
Switch redemption signal
Rebalance review due
Client notes, broker overrides, and outcomes feed the next weekly list.
Workflow
The product is designed around action, not passive reporting. Each week becomes a ranked list, a reason, a broker decision, and an outcome.
01
Start with anonymized broker exports from CAMS, KFintech, or internal distributor systems.
02
RetainEQ turns the book into a priority queue with urgency, trail exposure, and client context.
03
Every surfaced client includes why they appeared, what changed, and what the broker can say next.
04
Outcomes, notes, follow-ups, saved AUM, and lost AUM feed the next operating cycle.
AI layer
RetainEQ keeps AI close to the workflow: ranking the queue, explaining the signal, assisting the next move, and learning from the result.
Prioritizes urgency, relationship risk, and expected trail impact.
Turns raw churn signals into broker-readable call context.
Keeps callbacks, notes, and outcomes attached to the client.
Drafts next moves while broker judgment stays in control.
Learns from saved, partial, lost, and no-response records.
Why retention matters
MFDs do not need another dashboard full of passive charts. They need a weekly list of client relationships to protect, grow, rebalance, or leave alone.
Market pressure monitor
live category wedgeSIP stoppage pressure
March 2026 industry context
76%
Units redeemed under 2 years
Early-exit behavior
73%
Active Indian MFDs
Large operator base
~80k
ML churn products in India
Open category wedge
0
Results
RetainEQ is not trying to replace broker judgment. It gives brokers a better queue, captures what happened next, and turns those outcomes into operating data.
Outcome states
Contacted
Broker action recorded
42
Saved
AUM protected after intervention
18
Partially saved
Some risk recovered, follow-up needed
9
Lost
Loss captured for learning
6
No response
Next touchpoint scheduled
11
Founder
RetainEQ is built by Aditya Shukla, focused on helping Indian MFDs protect trail income with practical, broker-led retention workflows.
Positioning
Workflow and retention decision support
Contact
Open the demo workspace, then reach out for a broker or investor conversation.