Ask any serious lead seller or buyer what matters most in ping post — and they’ll probably tell you the same thing:
“Lead quality.”
You can have the fastest routing, the best buyer network, the slickest platform — but if your leads are junk? None of that matters.
Lead quality is the foundation of profitable ping post. It’s what keeps buyers bidding, conversions high, and refunds low. And the good news? You can absolutely control it — if you know how.
Here’s how to validate, score, and filter leads in a ping post system without losing your mind (or your margins).
🎯 First, What Is Lead Quality?
Let’s keep it simple. A “quality lead” is one that’s real, contactable, and likely to convert.
That means:
- The contact info is valid
- The intent is real (they want what you’re offering)
- The lead matches your buyer’s criteria (location, age, product, etc.)
- It was generated ethically and compliantly
Everything else — pricing, performance, routing — flows from that.
🧪 Step 1: Real-Time Lead Validation
Before you ping any buyer, your system should validate leads in real time. Here's what to check:
✅ Contact Info
- Phone Number — Is it active? Mobile? Disposable?
- Email Address — Valid format, deliverable, not blacklisted?
✅ Geo / IP
- Does the ZIP/postal code match the IP?
- Are they in a supported state or country?
- Is the IP location suspicious (VPNs, proxies, data centers)?
✅ Duplication
- Has this lead already entered your system recently?
- Is it a duplicate within a campaign or global across all sources?
✅ Consent & Compliance
- TCPA/FCC consent (checkboxes, timestamps, landing page URL)
- DNC list matching
- Privacy policy acceptance
If any of these fail, the lead should be blocked before the ping even fires.
🧠 Step 2: Scoring Leads Based on Quality Signals
Some platforms let you assign a lead quality score to each lead — either with a simple points system or using AI to analyze historical outcomes.
Things to factor into your score:
You can then use these scores to:
- Route leads to premium buyers
- Adjust pricing dynamically
- Apply stricter filters for lower-score leads
🔍 Step 3: Filtering Leads Before the Ping
Filtering is your firewall. You want to filter leads before they’re offered to buyers, not after they complain.
Common pre-ping filters include:
- ❌ Incomplete or blank fields
- ❌ Banned ZIP codes or states
- ❌ Phone/email fails
- ❌ Duplicate leads
- ❌ Non-matching vertical (e.g., solar lead hitting a Medicare buyer)
- ❌ Bad publisher ID
Platforms like Standard Information let you set all of this up with no code — and apply filters per campaign, per buyer, or globally.
🧹 Step 4: Cleaning Up Buyer Rules
Sometimes it’s not the lead that’s bad — it’s a bad buyer match.
If your buyers have overly broad rules, they’ll complain when leads don’t convert. That’s on you.
Make sure:
- Each buyer has accurate targeting rules
- You respect their volume caps, schedules, geo preferences
- You update rules when performance dips
Ping post gives you precision — use it.
📉 What Happens When You Skip This Stuff?
Skipping validation and filtering might look like you're saving time. But here's what really happens:
- 🚨 Buyers get bad leads → they stop bidding
- 🤝 Refunds increase → profits shrink
- 📉 Conversion drops → buyers cap or pause
- 😤 Support tickets flood in → your team burns out
- 🚫 Compliance issues → serious legal risk
A single bad lead might seem small. But multiplied across 10,000 leads, it’s a credibility killer.
🧩 How Standard Information Helps You Filter, Score, and Scale
We built our platform with quality as a default — not an afterthought.
Here’s how we help:
- Real-time validation (email, phone, geo, etc.)
- De-dupe logic across all campaigns
- TCPA and DNC filters pre-loaded
- Quality scoring options (and AI tagging with AmeliaAI)
- Ping tree filters by score, geo, lead source, time of day
- Clean, human-readable reporting — so you can spot patterns fast
Whether you’re handling 500 leads or 50,000 a day, this stuff scales.