Predictive Lead Scoring for Your Business
Predictive lead scoring services rank inbound leads by how closely they resemble the customers you actually won. Omeiro trains logistic regression models on CRM history, combining company traits, web engagement and past win rates into a score reps can sort by.
What predictive lead scoring looks at
The main areas we work through. The exact scope depends on your package and is agreed before we start.
The question
- What to predict
- How it will be used
- What good enough means
Data prep
- Missing values
- Outliers
- Features
Model
- Simple baseline first
- Honest test results
- Limits explained
Use
- Export or API
- Refresh plan
- Watching for drift
What we cover The exact scope depends on your package and your data, and is agreed before work starts.
What you get with predictive lead scoring
Automated sales qualification. Logistic regression algorithms scoring inbound CRM leads based on firmographic traits, web engagement, and historical win-rates.
Basic Package
Lead scoring model trained on CRM history, score list for current leads. 5-day delivery, 2 revisions.
Standard Package
Model; web engagement features, scores written back to CRM field; docs. 8-day delivery, 2 revisions.
Premium Package
Daily auto-scoring pipeline, score dashboard, quarterly retrain plan; 30 days support. 12-day delivery, 2 revisions.
Clear brief first
We confirm what you need before work starts, so the scope is clear on both sides.
Revisions listed
Each package shows its revision rounds. A round is one list of changes sent together.
Yours once paid
Copyright of the final work passes to you once the order is paid in full.
Your data stays in your own accounts and tools wherever possible, and access is removed when the work is done.
How our predictive lead scoring works
Export the history
We pull won and lost opportunities with their lead details.
Build features
Firmographics and engagement are turned into model inputs.
Train and check
The model is tested on earlier deals to see if scores separate winners from losers.
Write scores back
Scores appear in your CRM or a list, ready for routing.
Predictive lead scoring that sales will actually use
Predictive lead scoring depends on the quality of your CRM history. Lead source, company size, job title, activity and outcome fields must be filled consistently, and closed won or lost status has to be reliable. Clean up duplicate leads and stale stages before ordering if you can. If reps skip certain fields, tell us which, so the model does not learn from missing values.
A common mistake is letting the model score on fields that are only filled in after a deal progresses, which leaks the answer. Predictive lead scoring here uses only information known when the lead arrives, plus early engagement. Scores written back to a CRM field let reps sort by them, and sales and marketing can agree a threshold for what counts as qualified.
In short
- Delivery in 5 to 12 days, by package.
- Fixed price, shown before you order.
- Sales managers whose reps chase every form fill equally.
- Marketing leads wanting machine learning lead scoring based on closed deals.
- Copyright yours after full payment.
Predictive Lead Scoring: common questions
How much does predictive lead scoring cost?
Prices are fixed and shown by package on our Predictive Lead Scoring pricing page, so you see the full price before you order. You can also ask for a custom quote.
How long does machine learning lead scoring take?
Delivery depends on the package: Basic 5-day delivery; Standard 8-day delivery; Premium 12-day delivery.
What is included in the Basic Package?
The Basic Package includes: Lead scoring model trained on CRM history, score list for current leads. Higher packages add more scope, revisions and support.
Can I get a custom lead scoring model development package?
Yes. If none of the packages fits, use the custom package form on our pricing page to describe what you need, and our team sends you a fixed price.
How many closed deals do I need?
More is better. Tell us your volume of won and lost deals and we will say if a model is realistic.
Which CRM does it work with?
Standard writes scores to a CRM field. Confirm your platform before ordering.
Does the score update over time?
Premium scores daily and includes a quarterly retrain plan.
Why logistic regression?
It is transparent, so you can see which traits push a lead's score up or down.
What is the difference between rule-based and predictive lead scoring?
Rule-based scoring adds points for traits someone chose, such as job title, while predictive scoring learns weights from past wins and losses. The learned version can pick up patterns manual rules miss.
Who owns the final work?
Copyright of the final work passes to you once the order is paid in full. Paid fonts, stock files or licences, if used, are licensed in your name.
Ready to start your predictive lead scoring?
Compare the packages and pick the one that fits. Not sure which? Write to us and we will help you choose.