Rightlander Quality
Rightlander Quality scores partners in your programme before they activate, and keeps scoring them as their content changes. 60+ signals across traffic, ownership, compliance history, regulated-market eligibility and identity feed a tiered risk rating your team can act on in seconds.
60+ signals · Risk vs Reward
Risk vs Reward Scoring
Score new and existing affiliates on a unified 0–100 quality index.
The score is produced within minutes of a partner domain being submitted, using more than 60 signals across traffic, domain history, content quality, compliance posture and identity.
Unlike manual due diligence, which is inconsistent across reviewers and slow under volume, the Quality index applies the same weighting every time. You set the thresholds. Rightlander applies them.
- 60+ weighted signals across six categories
- Score returned in minutes via API or platform UI
- Threshold rules auto-approve low-risk, auto-flag high-risk applicants
- Full score breakdown shown per signal category
60+ Signal Categories
Core identity, traffic quality, sub-networks, compliance history, content quality and general reputation, all feed the final score.
The six categories cover both the partner's intrinsic profile and their behaviour inside your programme. Core identity checks ownership, registration and identity verification. Traffic quality inspects referral patterns, fraud signals and source mix.
Compliance history draws from Rightlander's database of prior flags, which grows more valuable the longer your programme runs. Weights across the six categories can be tuned to your own risk priorities.
- Six signal categories, each with its own sub-score
- Compliance history drawn from Rightlander's own programme data
- KYC and KYB identity signals integrated directly
- Category weights configurable to match your risk appetite
Onboard or Decline Faster
Automate approval of low-risk applicants and escalate the rest for human review, with evidence already attached.
Partner onboarding is one of the most time-consuming and inconsistent processes in an affiliate programme. High application volume means human reviewers cut corners under pressure and approve partners they would reject under a structured process.
Quality removes that inconsistency. Low-risk applicants are approved automatically. Borderline cases arrive with the specific signals that triggered the review, so the human reviewer has context, not just a queue. Sub-affiliate transparency extends this to the networks sitting behind your master affiliates.
- Auto-approve rules for scores above your defined threshold
- Escalation queue for review-tier applicants, evidence pre-attached
- Decline workflow with partner notification and reason logging
- Decision audit trail: user, timestamp, score at time of decision
What you get with Rightlander Quality.
- 60+ weighted quality signals
- Unified 0–100 quality index per affiliate
- Category breakdowns: core, traffic, subnetworks, quality, compliance, general
- Integrates with the Compliance Workbench for follow-up
- API-first, plug into your CRM or PAP of choice
- Re-scoring on every scan cycle
- Regulated-market eligibility checks for 8 markets out of the box
- Sanctions list, PEP exposure and ownership-change monitoring
- Network-level Quality aggregates across all sub-affiliates per network
- Score benchmarking against your peer group in the same territory and category
How Rightlander Quality vets partners before and during activation.
Quality is the pre-flight check and the continuous vital signs for partners in your programme.
Pre-activation scan
Before a partner goes live, Rightlander scans their existing pages, domain history, traffic sources, compliance posture and creative quality. A score is produced within minutes, not days.
Benchmark
The score is placed against peer partners in the same territory and category, so your team sees whether this is a top-quartile, median or risky partner.
Monitor
After activation, Quality continues to watch. A previously-good partner whose content quality or compliance posture drops triggers an alert long before they become an audit problem.
Signals pulled from the systems you already trust.
Quality ingests data from leading WHOIS, domain intelligence, identity and affiliate-network providers. Your team does not collect the data, the platform does.
- Awin / Income Access / MyAffiliates
- WHOIS and domain registries
- Ahrefs / SEMrush (traffic signals)
- Identity providers (KYC/KYB)
- Sanctions and PEP lists
- Okta / Azure AD / Google SSO
- Webhooks to your CRM
- CSV and PDF export
We used to accept most applicants and clean up later. Quality flipped that. We now reject 18% of applications up front with evidence, and our post-activation compliance workload dropped in step.
Frequently asked questions.
When should we use Quality?
Before you activate any new partner, and continuously for the top twenty percent of your existing programme. Most brands also run Quality spot-checks when renewing commercial terms.
Is this a replacement for KYC?
No. KYC is about legal and financial identity. Quality is about content, traffic and compliance behaviour. They complement each other. Most clients run both.
What does a good score look like?
Scores are expressed on a 0 to 100 scale, normalised per territory. Top-quartile partners typically sit above 75. Anything below 50 is flagged for review. The benchmark table inside the product shows exactly how your shortlist compares to the peer group.
Can we customise what matters?
Yes. The four signal groups can be weighted to match your own risk appetite. A risk-led brand can weight compliance posture higher. A growth-led brand can weight traffic integrity and reach.
Does it cover networks and tracking platforms?
Yes. Network-level Quality aggregates the scores of every sub-affiliate running through a network, giving you a network-level rating for your commercial reviews.
Is there an API?
Yes. Push a partner domain via API, receive the full Quality score and supporting evidence back. Most clients wire this into their partner onboarding flow so every application is scored before a human reviews it.