AI lead scoring
AI lead scoring that shows its reasons for every account
AI lead scoring explained: fit, persona and intent, with the reasons shown. Outbind scores every account in your market each morning and acts on the best.
AI lead scoring ranks your leads and accounts by how likely they are to become customers, so you spend time on the best ones first. Outbind scores every account in your market on fit, persona and intent, and shows the reasons behind each score, then starts conversations with the strongest fits.
A score is only useful if you can see why it was given and if something happens because of it. Outbind is built around both.
What is AI lead scoring?
AI lead scoring uses software to judge each lead against what a good customer looks like, instead of a person sorting a list by hand. Older scoring used fixed points, such as ten points for a job title. AI scoring weighs more information and can explain more of it.
There are two common starting points. Inbound scoring ranks people who already came to you. Outbound scoring, which is what Outbind does, ranks companies and people in your market before they have heard of you.
What should an AI lead score include?
An AI lead score should cover whether the company fits, whether the person is right and whether the timing is good. Outbind uses three parts:
| Part | What it asks | Examples |
|---|---|---|
| Fit | Does the company match your ICP? | Industry, size, location |
| Persona | Is this the right person to talk to? | Role and seniority against your personas |
| Intent | Is there a reason to talk now? | Hiring, funding, new leaders, expansions |
Fit without intent gives you good companies at the wrong time. Intent without fit gives you busy companies that will never buy. You need both, plus the right person.
What should you look for in AI lead scoring?
Look for reasons you can read, inputs you can trust and a score that leads to action. Ask these questions on any trial:
- Does it show the reasons? You should be able to see why an account scored high or low.
- Where does the data come from? A score built on stale or guessed data is a guess too.
- How fresh is it? Scores should update as signals arrive, not once a quarter.
- Is it based on your ICP? Generic scores rank generic leads.
- What happens next? If the score sits in a field nobody reads, it changes nothing.
How does Outbind score leads?
Outbind scores every account it finds on fit, persona and intent, and shows its reasons. It starts from your ICP and personas, which Obi proposes from your website and you edit. Then it maps your TAM and searches it every morning, so new accounts and fresh signals enter the scores daily.
Signals feed intent. Hiring and funding count on every plan. New leaders, expansions and acquisitions count on Pro Plus and up, checked weekly. Tech stack and what changed count on Team Scale. Every event is hashed on arrival, so a retry never counts the same event twice.
The data behind each score comes from a verified pool first, with other sources only for the gaps. Every field shows its source, date and confidence, and emails are never guessed from name patterns.
What happens after a lead is scored?
In Outbind, a high score leads straight to action. Autopilot enrols good fits, researches each lead, writes plain-text emails that cite real sources and follows up until someone replies. You OK its first leads once; after that it adds good fits by itself, or you can choose to review every lead.
| Scoring-only tool | Outbind | |
|---|---|---|
| Scores leads | Yes | Fit, persona and intent, reasons shown |
| Finds new accounts | Often not | Searches your market every morning |
| Uses signals | Varies | Hiring and funding on every plan, more by plan |
| Acts on the score | No | Autopilot enrols, writes and follows up |
| Syncs to CRM | Varies | Two-way every 5 minutes on Pro Plus and up |
Where does Outbind not fit for lead scoring?
Outbind scores accounts in your market for outbound. It is not the right pick if you mainly need to score inbound form fills or website visitors, since Outbind does not capture inbound leads. It also has no dialer, no browser extension and no free plan; every plan has a 7-day free trial.
If scoring inbound is your main need, see lead generation software for how inbound and outbound differ, and our alternatives pages for named tools.
How much does AI lead scoring cost?
Scoring is included in every Outbind plan. Pro is $49 a month with hiring and funding signals. Pro Plus is $99 with all signal types and HubSpot and Pipedrive sync. Team is $199 with 3 seats. Team Scale is $399 with 5 seats, tech stack signals and Salesforce sync. Credits pay for finding and checking data. See pricing.
FAQ
What is the difference between lead scoring and account scoring?
Lead scoring ranks people; account scoring ranks companies. Outbind covers both: it scores every account on fit for the company, persona for the person and intent for the timing.
Can I see why a lead got its score?
Yes. Outbind shows its reasons for every account's score.
How fresh are Outbind's scores?
Outbind searches your market every morning, and signals such as hiring and funding feed the intent part of the score.
Does scoring sync to my CRM?
Outbind syncs two-way every 5 minutes with HubSpot and Pipedrive on Pro Plus and up, and Salesforce on Team Scale.
Is AI lead scoring worth it for a small team?
Yes, when it saves you from working the wrong accounts. For founders and small teams, scoring that also acts on the best leads saves the most time. See AI SDR.
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