RBA cash rate
4.35%
Effective 2026-05-06
DepositIQ
Market intelligence and product decisioning for deposits and payments teams.
DepositIQ helps banking product teams benchmark competitor deposit rates, model pricing scenarios, assess product complexity, measure primary banking behaviour, identify customer friction and prioritise the roadmap.
Market context
RBA + CDR
Public market signals with fallback resilience if live data is unavailable.
Interactive modules
6
Pricing, complexity, primacy, friction and prioritisation work together.
Data approach
Deterministic
Public market data, synthetic behaviour and rule-based scoring in one workflow.
Governance
Human review
Product, Finance, Treasury, Risk and Compliance remain final decision-makers.
What DepositIQ does
DepositIQ gives deposits and payments teams one place to benchmark market pricing, model product economics, interpret customer signals, and convert those inputs into clearer product and pricing decisions.
Who it helps and why it matters
For the bank
It reduces fragmented decision-making across Product, Pricing, Treasury, Risk, Operations and Customer teams by connecting market rates, customer behaviour, complexity and roadmap trade-offs in one operating rhythm.
For customers
It highlights where product conditions are hard to understand, where servicing pain points accumulate, and where the bank can improve trust, clarity and everyday relationship value beyond the headline rate alone.
Market average headline rate
3.81%
Average headline rate across analysed products
Highest competitor rate
5.10%
Highest single public headline rate observed
Competitor products analysed
15
Products scanned in current market snapshot
Top customer friction theme
PayID setup
Most severe recurring friction theme in the current feedback set
Top roadmap priority
Simplify savings rate communication
Using fallback product context while live data loads
Product thesis
Deposit pricing should not be managed as a rate table. It should connect market rates, RBA context, customer behaviour, margin impact, product complexity and conduct risk.
Methodology preview
Understand the data sources, scoring models, caveats and governance logic behind DepositIQ.
How DepositIQ works
1. Ingest market signals
Public CDR product reference data, RBA rate context and fallback benchmark data.
2. Interpret product economics
Pricing scenarios, rate gaps, margin pressure and funding-cost implications.
3. Read customer signals
Primacy behaviour, customer friction and product comprehension risk.
4. Prioritise product action
Ranked roadmap initiatives with adjustable commercial, customer and risk weightings.
Market Intelligence
ModuleWhat it does
Benchmarks competitor deposit products using public product reference data and fallback market data.
Why it matters
Deposit pricing decisions need a live view of market pressure, competitor positioning, headline rate dispersion, product conditions and data-source confidence.
Key decision supported
Should we hold, reprice, target a segment or simplify the proposition?
Pricing Simulator
ModuleWhat it does
Models the financial and strategic impact of deposit rate changes across customer segments, balance assumptions, churn, campaign duration and market pressure.
Why it matters
A rate increase may grow or retain balances, but it can also create funding cost, cannibalisation and margin pressure.
Key decision supported
Which pricing scenario offers the best trade-off between growth, retention, margin and conduct risk?
Product Complexity
ModuleWhat it does
Scores deposit products for simplicity, conditionality and customer comprehension risk.
Why it matters
The highest headline rate is not always the strongest customer proposition if the product is difficult to understand or qualify for.
Key decision supported
Which products need simplification, clearer communication or condition redesign?
Primary Banking
ModuleWhat it does
Scores customer relationship depth using synthetic everyday banking behaviours such as salary credit, card usage, wallet activation, PayID registration, direct debits, recurring payments and app engagement.
Why it matters
Deposits are the balance sheet outcome. Payments behaviour is the relationship signal.
Key decision supported
Which customer cohorts should receive primacy nudges and next-best actions?
Customer Friction
ModuleWhat it does
Classifies customer feedback into themes, journey stages, likely owners, severity and recommended actions.
Why it matters
Customer feedback is only useful when it becomes product action.
Key decision supported
Which friction points should Product, Operations, Technology, Risk or Marketing fix first?
Prioritisation
ModuleWhat it does
Ranks product initiatives using commercial value, customer value, risk reduction, market pressure, primacy uplift, effort and dependency complexity.
Why it matters
Product teams need transparent trade-offs instead of prioritising based only on noise, politics or stakeholder volume.
Key decision supported
Which initiatives should move into discovery, delivery or governance review next?