KiwiWall Integration Paths

KiwiWall Integration Paths in brief

KiwiWall offers three practical integration paths, and the right one is determined by control, speed, and risk appetite.

1. iFrame path (fastest): launch offerwalls in days with fewer moving parts.
2. Feed API path (highest control): custom offer logic, advanced segmentation, and tighter routing decisions.
3. Hybrid path (most common): keep iFrame for stable core placements, add feed-based routes where optimization matters.

Your path should be chosen before launch, not after you already onboard traffic. Start by mapping three hard constraints: who owns tracking, how strict your offer routing needs to be, and who approves traffic quality exceptions.

If your team is not fully confident in postback mapping, deduplication behavior, and conversion reconciliation, do not begin with a custom API path. Stabilize attribution first, then expand control.

Who this is for

This page is for three operational audiences:

• Publishers deciding whether to keep integration simple at launch or move into a customized routing model.
• Advertisers comparing managed traffic quality controls against direct campaign engineering effort.
• Technical teams evaluating implementation complexity, reconciliation workflow, and anti-fraud guardrails.

Definition

An integration path is the sequence of choices you make to connect traffic and offers through KiwiWall:

1. how offers are requested,
2. how traffic and clicks are identified,
3. how postbacks are generated and validated,
4. how offer eligibility and payout behavior are controlled,
5. how quality exceptions are handled.

Think of it as a product architecture decision, not a UI setup task. The same offer inventory can behave very differently depending on whether you choose iframe defaults, API-driven routing, or a staged hybrid.

Decision table

How it works

1) Choose your operating model in advance

Before touching code, document the operating model in one line:

• Default mode: iFrame, API, or hybrid
• Primary constraint: launch speed, optimization depth, or control
• Allowed downtime: no more than one staging window per 7 days (or fewer for live apps with high dependency)
• Tracking owner: one team member responsible for postback correctness and alerts

2) Map the path to business type

• Publisher-heavy integration: Start with iFrame plus strong segment parameters. Expand only when you need dynamic offer sequencing.
• Advertiser-heavy integration: Start with API if campaign governance requires strict segment-level offers, explicit cap behavior, and custom reject handling.
• Technical-first integration: Use a staged hybrid with explicit rollback checkpoints and a frozen schema contract.

3) Define the required identifier baseline

Even before your first test offer loads, define identifiers for every event path:

• click-level identifier
• transaction identifier
• publisher/placement/sub-segment fields
• offer version or feed variant marker

No path should be accepted without these fields and a reconciliation owner.

4) Configure offer routing policy before scale

KiwiWall routing only becomes useful when the policy is explicit:

• Which offers are allowed in which geos
• Which placements are permitted per conversion objective
• Which campaign has stricter fraud/quality thresholds
• Which segments can be excluded if reject rate rises

A path without policy is just a feed of traffic; a path with policy is a controlled monetization surface.

5) Wire postbacks and reconciliation first

Every path needs the same operational contract:

1. Click receives required identifiers.
2. Offer request returns deterministic payloads.
3. Conversion triggers S2S postback with mapping to campaign and publisher.
4. Reconciliation compares advertiser and publisher logs within the first 24 hours.
5. Any mismatch above your tolerance rule blocks the next scale decision.

If you cannot reconcile reliably, pause expansion regardless of raw conversions.

6) Apply the rollout gate

Use this week-by-gate approach for any path:

• Gate 1 (Day 1–3): one integration path, one placement, one traffic source.
• Gate 2 (Day 4–7): add one second segment only after postbacks are stable.
• Gate 3 (Day 8–14): add one advanced control if and only if quality checks pass.
• Gate 4 (Day 15+): scale only with explicit margin and quality guardrails.

Example: one real-world sequence

A publisher running both web and mobile web traffic used a single feed path in the past and could not explain why payout variance kept changing.

A practical migration is to reverse sequence:

1. move core placements to iFrame for immediate recovery in launch consistency,
2. enforce standardized identifiers and postback reconciliation,
3. activate API routing only for one high-value geo/device segment,
4. compare payout variability, reject reasons, and conversion lag,
5. expand API rules only when quality variance remains stable for two full reporting cycles.

This sequence preserves velocity while still creating controlled experimentation.

Common mistakes

1. Picking API because it sounds more mature.

   • Impact: over-engineered integration and no visibility into baseline postbacks.
   • Fix: start with iFrame unless you already have postback ownership and a reconciliation owner.

2. Adding routing complexity before quality checks.

   • Impact: high variance and unclear root-cause.
   • Fix: lock identifiers and reconciliation first, then layer routing logic.

3. Treating traffic quality as “set and forget.”

   • Impact: silent rejects and payout drift.
   • Fix: create explicit rules for geo/device exclusions and reject thresholds.

4. Scaling before conversion-state parity.

   • Impact: more spend and harder debugging.
   • Fix: require acceptance-rate parity between staging and production for each segment.

5. Using one path for every workload forever.

   • Impact: under-optimized publishers or brittle advertising stacks.
   • Fix: adopt hybrid mode when growth requires both speed and precision.

Checklist

Use this checklist before launch:

• Integration path is explicitly selected (iframe / feed API / hybrid) and documented.
• Primary traffic sources, geos, and offer categories are approved for initial scope.
• Identifier strategy for clicks, transactions, and segment fields is implemented.
• Offer routing policy is explicit: eligibility, exclusions, caps, and exceptions.
• Reconciliation flow is staffed (who owns daily checks, who owns escalation).
• Quality gates are set: postback acceptance, reject-rate trends, and latency budget.
• Escalation path exists when a segment breaches control thresholds.

When this does not apply

This playbook does not apply if:

• your team cannot own attribution logs at least monthly,
• you have zero appetite for campaign-level exception handling,
• you are only evaluating a single campaign in one geo for a few days.

In those cases, keep integration intentionally narrow: one placement, one placement policy, and a short verification loop.

FAQ

Which path is fastest to launch?

For most teams, iFrame first is fastest because it reduces custom contract dependencies and lowers the operational surface before data quality stabilizes.

Which path gives the most control?

Feed API provides the most control because you can enforce custom offer-routing and segment-specific behavior, but it also demands higher operational rigor.

Can I switch paths later?

Yes. The safest migration is usually iFrame → hybrid → API. Trying to move directly into full API without stable reconciliation creates debugging debt.

Do publishers and advertisers need different paths?

They often do. Publishers usually optimize for onboarding speed and stable conversion tracking. Advertisers often need tighter campaign controls and reporting depth, which may push to API earlier.

How do I decide path for mixed traffic (web + app)?

Use a staged model: iFrame for baseline channels, API for your highest-value segment after validation.

What is the biggest sign the path is wrong?

Frequent silent postback failures, unstable rejection reason mix, and growth that improves clicks but worsens payout predictability.

Conversion link

If you are ready to begin with the least-friction route, start with the /publishers or /advertisers onboarding flow and request a structured integration plan with your team name, traffic mix, and tracking stack.

Then move to the platform decision page: KiwiWall platform guide.

If you are already ready for implementation detail, continue with:

• iFrame offerwall setup guide
• Offer feed API use cases

Evidence notes

• Plan source: docs/content-silo-plan.md and content-silo-strategy.md
• Run-note references used for evidence context: EVID-KS-20260618-1, EVID-KS-20260618-2, EVID-KS-20260618-3, EVID-KS-20260618-4, EVID-KS-20260618-5
• Primary keyword sources: Bing suggestive search calls and Google trending/recommendation signals, with blocked/limited retrieval notes recorded in strategy docs
• Crawler/SEO references for constraints: official Google AI/content guidance and crawler guidance were used in the plan context to enforce short actionable structure and evidence-backed claims