Seatext library / BotRefund evidence
How to Use IP Reputation Data to Avoid Blocking a Broad Region
Leverage IP reputation intelligence to refine geo‑blocking decisions, protect ad spend, and keep legitimate users reachable.
✓ Built for advertisers who need clear, refund-ready traffic evidence.
Start with Precision, Not a Blanket Block
Blocking an entire country or region often harms campaign performance. Real customers share IP ranges with malicious actors. Using IP reputation lets you decide per‑IP, keeping good traffic while stopping bots.
Why IP Reputation Works Better Than a Geographic Block
Geographic blocks assume every visitor from a region is equally risky. In practice, most fraudulent clicks come from data‑center IPs, which can be located anywhere (S5). Residential IPs in the same region rarely show fraud patterns (S2). By adding a reputation layer you reduce false positives (legitimate users blocked) and false negatives (bad traffic allowed).
Limitations exist. Residential proxies can masquerade as clean IPs, and IP churn means a good address may become risky overnight (S5). Studies show data‑center‑based blocks catch 70‑80% of invalid clicks but also block 10‑15% of real users, while reputation‑based filters cut false positives to under 5% (S2). Both approaches should be combined with behavioral signals for best results.
Step‑by‑Step Guide to Enrich IPs with Reputation Data
1. Capture Visitor IPs
Log the IP address for every click or page view. Most ad platforms expose the IP in click logs; server logs contain it by default. Example (Apache log line):
123.45.67.89 - - [28/Aug/2026:12:34:56 +0000] "GET /landing.html HTTP/1.1" 200 5321
2. Query an IP Reputation API
Send the IP to a reputable service. Below is a sample HTTP request to the iprep.io API (hypothetical endpoint used for illustration).
GET https://api.iprep.io/v1/lookup?ip=123.45.67.89&key=YOUR_API_KEY Headers: Accept: application/json
Sample JSON response:
{
"ip": "123.45.67.89",
"type": "data_center",
"risk_score": 87,
"categories": ["cloud_provider", "vpn"],
"last_seen": "2026-08-27T14:22:10Z"
}
The type field tells you whether the address is residential, data_center, or proxy. The risk_score (0‑100) quantifies fraud likelihood.
3. Combine Reputation with Geographic Context
For each IP in a region you plan to block, apply the following logic:
- If
type == "residential"andrisk_score < 30, allow the request. - If
type == "data_center"orrisk_score >= 70, flag for block. - If
type == "vpn"and the region is high‑risk, consider blocking; otherwise, monitor.
This rule set reduces false positives while still catching the majority of bot traffic (S5).
4. Push the Decision to Your Ad Platform or Firewall
Most platforms accept custom exclusion lists via API. Example for Google Ads:
POST https://googleads.googleapis.com/v9/customers/1234567890/exclusionLists
Body:
{
"exclusions": [
{"ip": "123.45.67.89", "reason": "data_center_high_risk"}
]
}
For a cloud firewall (e.g., AWS WAF), you can create an IP set:
aws wafv2 create-ip-set \
--name BadIPSet \
--scope REGIONAL \
--addresses 123.45.67.89/32
aws wafv2 update-web-acl \
--name MyWebACL \
--scope REGIONAL \
--add-rule-action BLOCK \
--rule-priority 10 \
--statement '{"IPSetReferenceStatement":{"ARN":"arn:aws:wafv2:...:ipset/BadIPSet"}}'
5. Build Dynamic Allow‑Lists
Store IPs that consistently appear as residential with low risk in a database. Refresh the list weekly. Allow‑list entries can be fed back to the ad platform to prevent accidental blocks.
6. Monitor, Review, and Iterate
Reputation scores change as providers update their data. Schedule a weekly audit of blocked and allowed IPs. If a previously clean residential IP starts generating invalid clicks, move it to the block list.
Metrics to track:
- Invalid‑click rate before and after implementation.
- Conversion lift from rescued residential traffic.
- False‑positive count (legitimate users blocked).
Trade‑offs and Risks
Using reputation data adds latency (typically 50‑150 ms per API call). Caching responses locally mitigates impact but introduces stale data risk. Some services charge per lookup; high‑traffic sites must budget for cost (often $0.001‑$0.01 per query) (S2).
False negatives occur when bots use fresh residential proxies that have not yet been flagged. False positives happen if a legitimate user’s ISP is mistakenly labeled as a data center. Balancing thresholds (risk_score ≥ 70 vs ≥ 80) helps tune the trade‑off.
Implementation Tips and Best Practices
- Cache responses for 24 hours. Most reputation scores do not change minute‑by‑minute.
- Combine with client‑side signals. Mouse‑movement jitter, scroll depth, and form‑completion time improve detection accuracy (S2).
- Test on a traffic slice. Deploy the rule to 5‑10 % of visitors first, compare key metrics, then scale.
- Log every decision. Store IP, reputation payload, and final action for audit and compliance.
- Use a fallback. If the reputation API times out, default to the geographic block or allow‑list based on business risk tolerance.
Common Pitfalls & How to Avoid Them
- Relying on a single data source. Different providers have varying coverage. Cross‑reference two feeds when possible.
- Hard‑coding IP ranges. Data‑center ranges expand frequently. Use an API rather than static lists.
- Ignoring VPN legitimate use. Some customers use VPNs for privacy. Tag VPN traffic separately and review before blocking.
- Not updating allow‑lists. Stale allow‑lists can re‑introduce blocked IPs. Automate weekly refreshes.
- Over‑blocking during peak traffic. Sudden spikes can cause rate‑limit errors from the reputation service. Implement exponential back‑off.
Key Facts About IP Reputation and Ad Traffic
| Fact | Details |
|---|---|
| Bot traffic share | Industry audits place automated traffic between 9% and 20% of paid clicks (S7). |
| Data‑center IP risk | Clicks from known data‑center ranges are a strong signal of invalid activity (S5). |
| Refund success rate | 83% of refund claims filed by BotRefund are approved by ad platforms (S2). |
| Setup speed | BotRefund can be added to a site in about one minute (S2). |
Frequently Asked Questions
Is IP reputation enough to stop all bot traffic?
No. It is a strong first filter but should be paired with behavioral analysis for comprehensive protection (S2).
Does blocking a region hurt ad‑platform optimization?
Yes, if done indiscriminately. Reputation‑based filtering preserves genuine traffic, keeping optimization algorithms fed with real user signals.
What is the cost of IP reputation data?
Free tiers exist for limited queries. Paid plans range from $0.001 to $0.01 per lookup (S2).
Can I use IP reputation for both Google Ads and Meta Ads?
Yes. Reputation checks happen at the landing‑page level, so they apply to traffic from any source.
What if a real customer uses a VPN?
Consider allowing VPN IPs from low‑risk regions while still blocking data‑center VPNs from high‑fraud areas. Adjust rules based on the categories field in the API response.
How often should I update my IP reputation rules?
Refresh at least weekly; IP ownership changes regularly (S5).
What happens if I block a residential IP by mistake?
You lose a potential conversion. Use a small‑percentage rollout and monitor conversion metrics before full deployment.
Next Steps for Marketers
- Choose an IP reputation provider with a reliable API.
- Implement the capture‑and‑query flow in your server or edge layer.
- Define risk thresholds (e.g.,
risk_score >= 70for block). - Set up a weekly job to refresh allow‑lists and block lists.
- Run an A/B test: compare conversion and invalid‑click rates with and without reputation filtering.
- Document the rule set and share with your ad‑ops team for transparency.
How BotRefund Can Help
BotRefund automatically collects IP addresses, enriches them with reputation data, and adds behavioral evidence. The platform exports clean IP lists that can be fed into Google Ads, Meta Business Suite, or any firewall. It also provides audit‑ready logs for refund disputes, achieving an 83% approval rate (S2). Setup takes about one minute and requires no ad‑account access.
Further reading and comparison sources
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