Set scoring rules based on real contact actions, let UniLink calculate who is most engaged, and spend your limited follow-up time where it counts most.
When you have hundreds of contacts, treating every lead the same is a guaranteed way to waste your time and miss your best opportunities. Lead scoring solves this by automatically assigning a numeric value to each contact based on their actual behavior — the emails they opened, the purchases they made, the pages they visited, the links they clicked. The higher the score, the hotter the lead. UniLink CRM's lead scoring system lets you define exactly which actions matter to your business, set the point values, and then surface the contacts most likely to convert right at the top of your list.
What Lead Scoring Does
Lead scoring assigns a cumulative point total to every contact in your CRM. Points are added automatically when a contact takes an action that matches one of your scoring rules. For example, you might set "opened email" at +2 points, "clicked link in email" at +5 points, "made a purchase" at +25 points, and "visited your page more than three times in a week" at +10 points. As contacts interact with your content and products, their scores climb in real time.
The score appears directly on every contact's profile card and in the contact list view. You can sort your entire contact database by score descending and immediately see who is most engaged. You can also filter to show only contacts above a score threshold — for example, "show me everyone with a score above 40" — to create an instant warm-leads list for your next outreach session.
Scores can also trigger automated actions. A contact crossing a score threshold can automatically add them to a follow-up email sequence, assign a tag, or move them into a CRM pipeline stage. This means your highest-engagement contacts get contacted faster, without you needing to review the list manually every day.
How to Get Started With Lead Scoring
- Navigate to Lead Scoring settings — open CRM from the dashboard sidebar, then click "Lead Scoring" in the CRM sub-menu (or find it under CRM Settings depending on your plan).
- Enable lead scoring — toggle the feature on if it is not already active. Scoring will begin accumulating from this point forward; it does not retroactively score past actions by default.
- Add your first scoring rule — click "Add Rule," select an action category (Email, Purchase, Page Activity, or Tag), then choose the specific action from the dropdown (e.g., "Email Opened").
- Assign a point value — enter the number of points this action is worth. Higher-intent actions like purchases should score much higher than passive actions like a single page view.
- Set a frequency cap if needed — for repeatable actions like page views, set a maximum number of times this rule can fire per contact per day to prevent score inflation from bots or accidental repeated loads.
- Add decay rules (optional) — enable score decay to reduce points over time for contacts who go inactive. For example, reduce score by 5 points per week if there has been no activity. This keeps your high-score list current rather than full of contacts who were active months ago.
- Save and check the contact list — return to your contact list, sort by score, and confirm that contacts who have taken recent actions are appearing at the top with non-zero scores.
How to Use Lead Scoring
- View a contact's score — open any contact profile. The lead score appears prominently near the top of the profile alongside contact details. Scroll down to see a score history log showing which actions contributed points and when.
- Sort the contact list by score — in the CRM contacts view, click the Score column header to sort descending. Your hottest leads move to the top. This is your daily prospecting list.
- Filter by score threshold — use the filter panel to set "Score is greater than [number]." Save this as a named filter so you can re-apply it with one click each morning.
- Create a segment from high-score contacts — use the segment builder to define a dynamic segment with the rule "Score ≥ 50" (or your chosen threshold). This segment automatically updates as contacts gain or lose points.
- Target the segment in a campaign — when sending an email campaign or sequence, select your high-score segment as the recipient list. You are now sending your strongest offer to your most engaged audience.
- Adjust rules based on results — after a few weeks, review which scoring rules correlate with actual conversions. If contacts who purchased always had high "link clicked" scores, that rule is working. If "page view" scores are not predictive, reduce the point value or remove the rule.
- Archive or reset stale scores — if your list has contacts who scored highly a year ago but have since gone cold, use score decay or manually reset scores on a batch to keep your active list meaningful.
Key Settings Explained
| Setting | What it controls | Best practice |
|---|---|---|
| Action type | The category of user behavior that triggers point addition (Email, Purchase, Tag, Page) | Start with Email and Purchase actions — they have the strongest correlation with buying intent for most creators |
| Point value | How many points are added each time the action fires | Use a ratio where a purchase is worth 5–10x more than an email open to keep high-intent actions dominant in the score |
| Frequency cap | Max times a single rule can fire per contact per day or per event | Always cap passive actions (page views, email opens) at 1–3 per day to prevent inflated scores from automated activity |
| Score decay rate | Points subtracted per week or month of inactivity | Set decay to 10–15% per week — this naturally surfaces currently active contacts over historically active ones |
| Score threshold alert | Notification or automation trigger when a contact crosses a score value | Set a threshold at your "sales-ready" score (e.g., 60 points) to automatically tag contacts or add them to a pipeline stage |
How to Get the Most Out of Lead Scoring
The biggest mistake with lead scoring is setting it up and never reviewing the rules. Your audience's behavior changes. A rule that was predictive six months ago might be meaningless today if you changed your email content strategy or if your page visit patterns shifted. Schedule a monthly review of your top-scoring contacts and ask: did these people actually buy, book, or engage meaningfully? If the answer is consistently yes, your scoring model is working. If not, adjust the weights.
Use scoring in combination with tags and segments rather than in isolation. A contact with a score of 80 who also has the tag "returned-customer" is a very different sales opportunity from a contact with a score of 80 who has never purchased. Layering behavioral scoring with explicit tags gives you precision that neither system provides alone.
Pay attention to which single action has the strongest correlation with conversion in your business. For most product creators, it is clicking a specific link — the checkout link, the booking page, or the product page. Make that action worth disproportionately more points than anything else. Your top-score list will then surface contacts who are already one step from buying, which is exactly who deserves your first call or most personal email.
Consider using lead scoring to segment your audience before a product launch. In the week before you announce, filter to your top 50 contacts by score and reach out personally. These are the people most likely to buy on day one, generate social proof, and kick off the momentum that makes launches feel successful rather than slow.
Troubleshooting Common Issues
| Problem | Likely cause | Fix |
|---|---|---|
| All contacts show a score of 0 | Lead scoring was enabled recently and has not yet captured any qualifying actions, or scoring rules are set to action types with no recent activity | Verify your scoring rules are saved and active; send a test email to yourself and open it to confirm the email-open rule fires |
| One contact has an unrealistically high score | A frequency cap was not set on a repeatable action like page views, causing score inflation | Add a daily frequency cap of 1–3 to page-view and email-open rules, then optionally reset that contact's score manually |
| Score history log is empty on a contact | The contact was created before scoring was enabled, and scoring does not backfill historical activity by default | This is expected behavior — scores will accumulate going forward; there is no retroactive backfill for pre-scoring activity |
| Score threshold automation is not triggering | The automation is referencing an old threshold value, or the trigger is set to fire only once and already fired for that contact | Check the automation settings, verify the threshold matches your current scoring rules, and reset the trigger if a one-time fire limit was set |
Pros
- Automatically surfaces high-intent contacts without manual list review
- Fully customizable rules adapt to any business model or sales process
- Score decay keeps the active-leads list current and prevents stale contacts from dominating
- Integrates with segments and email campaigns for automated warm-lead targeting
Cons
- Scoring model requires tuning over time — the default rules are a starting point, not a finished system
- Historical activity before scoring was enabled is not retroactively scored
- Accuracy depends on consistent email and page tracking being active across your UniLink setup
Frequently Asked Questions
Can I manually adjust a contact's lead score?
Yes. Open the contact profile, click the score value, and you can manually add or subtract points with an optional note explaining why. Manual adjustments are logged in the score history alongside automated rule-based additions.
Does lead scoring work for contacts imported from a CSV?
Imported contacts start with a score of 0 and begin accumulating points from the moment scoring rules fire on their future actions. If you import a CSV with a custom score column, you can map that column to the score field during import to give imported contacts a starting score.
What is a good score threshold to consider a lead "sales-ready"?
There is no universal answer — it depends entirely on your scoring rules and your audience. A common approach is to look at your last 20 customers, check what their average score was at the time of purchase, and set your threshold at 80% of that number. Let data from your own audience define "hot," not a benchmark from someone else's business.
Can I have different scoring models for different products?
Currently UniLink uses a single scoring model per account. To differentiate by product, use tags to segment your contacts (e.g., "interested-in-course" vs. "interested-in-coaching") and then filter the scored list by both score and tag when targeting a specific product audience.
Does lead score affect email deliverability?
Lead score is a CRM tool internal to UniLink and does not affect email deliverability. However, using score to target your most engaged contacts — who are more likely to open and click — can indirectly improve your sender reputation over time by improving engagement rates on your campaigns.
Key Takeaways
- Lead scoring automatically ranks contacts by engagement so you always know who to contact first.
- Start with three rules — email opened, link clicked, purchase made — and refine based on which scores actually predict conversions in your audience.
- Always set frequency caps on passive actions like page views to prevent score inflation from repeated automated loads.
- Score decay keeps your high-score list reflecting current engagement rather than ancient history.
- Combine score-based filters with tags and segments for precise targeting that single signals cannot provide alone.
Ready to stop guessing which leads are hot?
Enable lead scoring in UniLink CRM today and let your contact list sort itself — so you spend your time closing deals, not searching for them.
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