Every sales manager has run into this problem at some point. It is Monday morning, the team needs a plan for the week, and the account list everyone is working from was put together two months ago, maybe longer. Some of the accounts on it are already tapped out. Some accounts that should be on it are not, because nobody noticed the shift in time. This is the ordinary, unglamorous problem most commercial teams deal with every week, and it rarely gets solved by building a better spreadsheet.
Targeting is built to answer a narrower question than most sales tools try to answer: out of everyone you could call this week, who actually has the biggest opportunity in front of them, and why.
A Ranked, Priced View of the Market
You filter by rep, territory manager, account, region, year or month, and the platform does the rest. Every account is measured two ways at once — against its own quota and against the total addressable opportunity that exists for it. Accounts also show up on a map, sized by how much opportunity they carry, so a manager can see at a glance where the real money is sitting instead of scanning a table of numbers looking for it.
Underneath that, every dollar of opportunity gets split into pieces that actually mean something operationally: sales revenue already booked, the revenue target, and then the open opportunity broken into net new business, cross-sell, and upsell. That distinction matters more than it sounds like it should. A rep chasing a brand new account needs a completely different conversation than one trying to expand an account they already sell into, and treating both as one generic pile of opportunity usually means neither gets planned for properly.
Select a single hospital or account and the physician and product rankings rebuild themselves around it, so an account manager walking into a specific meeting can see exactly which physicians and which products actually carry the value for that account.
AI That Reads the Room and Writes the Story
On top of all of that sits an AI layer that reads whatever is on screen and states, in plain language, what matters. Each finding gets tagged as a risk, an opportunity, a sign of momentum, or a pacing problem — with a dollar figure attached to it. A rep does not have to dig through the data to find the story because the story is already written out, and it updates every time a filter changes.
If the AI flags something worth acting on, one click adds it to the pipeline. If a rep would rather work through the filtered list themselves and pick opportunities by hand, that works too, and both paths land in the same place.
What Changes on Monday Morning
The actual benefit here is not really about the technology. It is about what a manager can walk into a Monday planning call with. Instead of a stale list and a gut feeling about who is worth calling, they have a ranked, priced view of the market built from what is happening right now.
For an individual rep, it means less time spent hunting through spreadsheets and old notes trying to remember why an account matters, and more time actually having the conversation with the physician or the account. For leadership, it changes territory coverage and quota decisions from something based on where opportunity sat last year to something based on where it is sitting today, across the whole team at once.