SolutionsGetting in
No relationship. No referral. Still your number.
The account is on the list because someone senior put it there. Nobody on your team has ever met anyone who works there. The obvious contacts have already been emailed by three of your competitors this month. This is the hardest problem in enterprise selling, and it is the one Adrata was built for.
01What is really happening
The channel broke, and prospecting broke with it.
Synthetic outbound made it free to send a plausible email to anyone. Buyers responded by ignoring the entire category. What used to be a volume problem became an access problem: the constraint is no longer how many people you can reach, it is whether any of them will answer.
- The obvious contact has been emailed by every vendor in your category this quarter.
- Title-based targeting sends everyone to the same four people.
- More sequences make the problem worse, not better.
02What Adrata reads
Every door, not just the front one.
Adrata assembles the routes that actually exist into this specific account and scores each one on seven components: how strong the relationship is, how relevant that person is to your target, how fresh the connection is, whether reaching out is consent-safe, what it costs socially to ask, how good the underlying evidence is, and the lift you would expect.
- Routes ranked against each other, so there is a first move rather than a list.
- The connector who can make the introduction, named.
- Each component of the score visible, so you can disagree with it.
03The move
One person. One reason. Today.
The output is a single next action with the evidence attached: reach this person, through this route, referencing this change. Where the model has not yet earned its confidence on your data, it says so and falls back to the transparent heuristic rather than dressing a guess as a prediction.
- The person to reach, and why them first.
- The angle, drawn from something real and recent.
- A stated confidence, including when that confidence is low.
The model behind it
You should be able to argue with the recommendation.
A move you cannot interrogate is a move you will ignore the first time it is wrong. These are the models doing the work in this scenario.
Break-in probability
Of every possible way into this account, which one actually opens?
Each candidate route is scored on seven components: relationship strength, how relevant the connector is to the target, freshness, consent safety, social cost, evidence quality, and expected lift. A calibrated model converts them into the probability that the route breaks in, with each component’s contribution visible.
Stable matching
Given limited attention, who should reach whom?
Assigning outreach across a buyer group is a matching problem with preferences and capacity on both sides. Adrata solves it with deferred acceptance (the Gale–Shapley algorithm), so the assignment is stable rather than greedy, and no two touches quietly compete for the same person.
The right to say nothing
Is there enough evidence here to justify a recommendation at all?
Learned components stay inert until they beat the simple heuristic on held-out data, and every model has a floor below which it abstains rather than guessing. On a new workspace the honest answer is often "not yet", and the system is built to say so instead of manufacturing confidence.
Where it runs
The surfaces this scenario uses.
Who this is for