How it works
One objective in. One specification out.
Your teams run it themselves, with always-on access. Every step happens inside the same working session.
Start with a commercial objective
Grow small business deposits. Win back chequing customers. Price a card for a segment you do not serve yet. State the goal in plain commercial terms.
Generate alternatives
Deepify builds out the realistic versions of the move. Different propositions, pricing, benefits and eligibility, side by side.
Test against the market
Each alternative is tested against market evidence and against what competitors already offer, so the comparison is with the real shelf.
Model the economics
Revenue, cost and balance sheet impact are modelled for every alternative, on the same basis, so the numbers can be compared fairly.
Run sensitivity and stress tests
Rates move. Uptake disappoints. A competitor responds. Each alternative is pushed until its assumptions are the ones doing the work.
Find the break points
You see exactly where each proposition stops working. The rate, the uptake level, the cost line that flips the answer.
Compare and select the winner
The original proposition is compared against the improved one, head to head. Your teams select the configuration that holds up.
Leave with a build-ready specification
The winning proposition is written up as a target product specification your build teams can work from, with the evidence attached.
What you get
A specification your teams can build from. Evidence they can defend.
The build-ready specification
The winning proposition, written as a target spec. It covers the proposition itself, the target customer, pricing, benefits and eligibility.
It also records the configuration that won, and why the other configurations lost.
The evidence behind it
Every figure traces to a source. The market evidence, the competitor comparison and the economics sit behind the verdict, ready to be challenged line by line.
The verdict arrives in writing, with the math to defend it in the room where the call gets made.
A tool in your teams’ hands
Deepify is always-on. Your teams open it, run the work themselves and rerun it when the market moves or the objective changes.
Run the original proposition against an improved one whenever a new idea lands on the table.
Illustrative example
A regional bank wants a small business account that pays for itself.
The objective is simple. Grow small business deposits without giving away margin. The team generates three versions of the account. One leads on rate, one leads on bundled services, one leads on a low monthly fee with paid extras.
Testing shows the rate-led version wins deposits on paper and loses money once uptake and rate sensitivity are modelled honestly. The bundled version holds up under stress. Its break point is clear, and it sits well above the expected uptake.
The outcome: the bundled proposition is selected, written up as a build-ready specification, with the losing versions and their break points kept on record.
The bank and the figures in this example are fictional. The workflow is the product.
Starting offers
Start with a test
Two set offers. One way to see how your moves hold up before you commit.
Decision Test
$7,500 CAD
Test two or three related investments together.
Half the fee is due at signing and half on delivery.
The full $7,500 is credited toward a Move Set Test if your firm expands within 30 days.
Move Set Test
$40,000 CAD
Test up to eight related moves in one division.
The full $40,000 is credited toward year one.
A written result is agreed at signing, before the test starts.
Both offers start with a 90-minute shaping session. Each move goes on a one-page form. The run takes hours. We meet to review the results within five working days of the inputs being complete and checked. Any move without the facts needed for a sound number is reported as not priced, with the missing fact named.
Origin
Built in Canada by a fast growing Canadian company.
Data
Data runs in Canada, in AWS ca-central-1.
Math
Deterministic math. The same inputs give the same answer, every time.
Evidence
Every figure traces to a source you can check.
Test. Don’t Guess.
Book a walkthrough and watch a commercial objective become a tested product specification, live, on a decision your teams are facing now.
Book your walkthrough