Integration and rollout

Integration that starts with observation, not disruption.

Fidcern fits into existing retail media and sponsor-activation workflows without asking teams to replace their current systems first. It starts by observing one workflow, analysing what can be trusted, and producing evidence commercial teams can actually use.

Exported data first where appropriate. No forced production blocking. We reply within 24 hours.

One workflow first. Exported data before broader integration. Designed for review before value is treated as trusted.

Where Fidcern sits: before the result hardens into commercial truth

Fidcern sits before a sponsor recap is finalised, before reward-linked activity is treated as fully eligible, before campaign outcomes are used in pricing or renewal discussions, and before duplicated or low-confidence activity shapes billing or reporting.

It does not replace the surrounding stack. It adds a verification and evidence layer where confidence matters.

How rollout works

Start with one workflow. Prove the value. Expand only where the evidence justifies it.

1

Workflow Confidence Review

Identify where confidence breaks, what data already exists, and where verification would create immediate value. Complimentary.

2

Verification Baseline

Run a bounded diagnostic on one workflow, one mechanic, or one evidence question. Typically 2–3 weeks. Typically £4,500–£6,000.

3

Single-Surface Diagnostic

Operate on one data surface. Produce findings, evidence artefacts, and control recommendations without interrupting live operations. Typically 4–8 weeks. From £15,000.

4

Ongoing Rollout

Expand only after the first workflow shows value. From £5,000/month for one active workflow scope.

What data Fidcern works with

For retail workflows, typical inputs include hashed or pseudonymised user identifiers, claim and redemption events, eligibility-rule outputs, campaign participation records, and purchase or outcome files. For sponsor workflows, typical inputs include app or campaign event logs, activation journey records, reward eligibility records, and recap inputs.

Fidcern does not require a full enterprise data rebuild to begin. It starts with the minimum data needed to assess one bounded workflow.

Two current deployment patterns

Pattern A — Single-surface

Verification Baseline

Best for teams asking: How much of this claim, redemption, or loyalty activity appears real, eligible, and non-duplicative?

One data surface. Typically 4 weeks. Off-production analysis. Confidence-tiered findings and control-gap assessment.

Typically £15,000–£18,000

Pattern B — Cross-surface

Sponsor-Confidence Diagnostic

Best for teams asking: How credible are our campaign results when we present them to sponsors or commercial partners?

One bounded campaign or sponsor workflow. Typically 8 weeks. Cross-surface contribution analysis. Sponsor-facing evidence pack.

Typically £35,000–£50,000

What comes out

Finding Cards

One-page summaries of each verified or flagged activity pattern, designed for review meetings.

Exception Flags

Activity that should not be counted without human review, with action recommendations.

Touchpoint Contribution View

A directional view of how different surfaces contribute to counted activity.

Evidence Pack

A review-ready document bundle for supplier, sponsor, or internal discussions.

The point is not another dashboard. The point is a stronger basis for what a team can responsibly say, show, defend, or act on.

See example outputs

What we need from you to start

A defined workflow scope. Access to one data export. A named internal reviewer. That is usually enough to begin a Verification Baseline. No production integration is required for the first engagement.

What Fidcern does not replace

Fidcern is not a retail media platform, a loyalty platform, a campaign execution system, a full attribution suite, or a real-time reporting stack. It is an evidence and verification layer for workflows where commercial value depends on whether activity should really count.

Start with the workflow where confidence matters most.

You do not need a full-stack replacement to begin. You need a clear starting scope, the right data boundary, and an evidence layer that helps separate reported activity from commercially trusted activity.

Book a workflow confidence review

A short scoped conversation to identify where confidence breaks and whether a verification layer is justified.

Request a verification baseline

A bounded diagnostic on one workflow, one evidence question, and one defined starting scope.

No commitment required. Start with one workflow. We reply within 24 hours.