For multi-brand, multi-region enterprises

Twelve brands. Four regions. One platform.

RunPivot Enterprise is the AI-native experimentation platform for organisations running multiple brands across multiple markets. Central governance, decentralised execution, AI that respects per-brand guidelines. One contract instead of twelve.

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12+

Brands in a single workspace

Granular

Roles, policies & approvals

60–90 days

Phased enterprise rollout

Unified

Cross-brand portfolio view

Security-first architecturePrivacy-conscious defaultsTeam roles & permissionsHosted SaaS deliveryDedicated CSM

The problem

Enterprise experimentation isn't bigger CRO. It's a governance problem dressed up as a tooling problem.

Most enterprise teams already have experimentation programs. The question isn't whether to test — it's how to scale across brands, regions, and teams without sacrificing speed or oversight.

01
Per-brand instances don't scale
Twelve brands on twelve tools means twelve contracts, twelve setups, twelve training cycles, and zero shared learnings.
02
Central governance vs brand autonomy
Central marketing wants oversight. Brand teams want speed. Most platforms force a tradeoff — and the losing side drags the program down.
03
Generic AI is dangerous at scale
Off-the-shelf variant generators produce off-brand copy across twelve portfolios before central catches the damage.
04
Cross-brand learnings are lost
What works in your premium brand often informs your value brand. Without shared infrastructure, the insight stays in one deck.

One portfolio. One renewal cycle.

12-brand organisation

Separate platform contracts

Per-brand legacy tooling

− $480k/yr

Duplicate onboarding & training

Repeated across each brand

− $120k

Cross-brand tests shared

Portfolio learnings trapped

Brand review cycles per test

Manual approval chains

3–6 wks

Fragmentation cost

− $600k+

Illustrative enterprise snapshot. Multi-brand orgs often pay for duplication before a single coordinated test ships.

How RunPivot solves it

Built around how your organisation actually works.

Central governance with decentralised execution. On one platform. With AI that respects every brand's specific rails.

One platform, every brand

Manage every brand and region from a central enterprise workspace. Per-brand guidelines, per-region rules, per-team permissions.

AI respects each brand

Each brand has its own tone-of-voice, forbidden phrases, and approved disclaimers. The AI generates variants inside each brand's rails, not generic across the portfolio.

Governance & approvals

Central sets policy, brand teams ship inside it. Approval workflows configurable per-brand, per-region, per-test-type. Audit logs by default.

Shared learnings infrastructure

Insights from one brand or region visible to others with controls. The cross-brand pattern recognition impossible with separate tools is the default here.

Use cases

What enterprise teams actually run.

Multi-brand portfolio A/B testing

Same test framework across multiple brands, premium, value, sub-brand, with insights compounded centrally

Portfolio compound

Multi-region variant A/B testing

Per-region copy, imagery, and offer variants managed from one central setup

5–20% per region

Centralised governance

Central policy, per-brand execution, per-region rules, all in one workspace

Faster ship rate

Cross-brand insight propagation

Insights tagged at the test level, surfaced across the portfolio with confidentiality controls

Compound ROI

Multi-language A/B testing

Localised variants generated and tested per market with shared learnings tracked centrally

8–20% per locale

Internal tool optimisation

Employee portals, partner dashboards, B2B account interfaces

5–15% on task completion

Metrics that matter

The KPIs central marketing actually reports up.

Portfolio-wide lift (composite)

The metric central marketing reports up to the board. Visible at portfolio and per-brand level.

Time-to-test by brand team

The velocity metric brand teams care about. Faster than per-brand stacks by design.

Governance compliance rate

The audit metric that matters at scale. Configurable per-brand, per-region.

Cross-brand insight reuse

The differentiating metric only available with shared infrastructure.

What enterprise teams say

“We were running twelve separate Optimizely instances. Twelve contracts, twelve invoices, zero shared learnings. RunPivot consolidated that into one workspace with per-brand governance, same execution speed, half the spend, and we now compound insights across the portfolio.”

Global Head of Digital · Multi-brand consumer enterprise

Built for organisations likeMulti-brand holding coMulti-region consumer brandFinancial services groupGlobal retail enterprise

Common questions

What enterprise teams ask before procurement begins.

How does multi-brand governance work?

Central marketing configures policy at the enterprise level, global guardrails, audit requirements, approval workflows. Each brand has its own workspace with per-brand tone-of-voice, forbidden phrases, and approval rules. Brand teams ship inside their guardrails; central sees the whole portfolio.

Can we replace multiple existing experimentation contracts?

Yes, that's a common migration path. Customers consolidating from Optimizely, VWO, or per-brand tools typically reduce TCO meaningfully while gaining cross-brand insight infrastructure they didn't have before.

What about data location and regional requirements?

We do not advertise universal pinned regional residency or blanket compliance certifications on the website. In-product team permissions and experiment audit trails are part of the product today. If you have regional hosting, DPA, SAML/SCIM, or attestation requirements, we work through fit and roadmap candidly with your security and procurement teams.

How do you handle enterprise identity and SSO?

Access today is email-based with team roles inside RunPivot. SAML SSO, SCIM provisioning, and automated IdP directory sync are not generally available yet. If those are hard requirements, tell us which identity provider and timeline you need , we will be direct about whether RunPivot is the right fit right now.

Is there a dedicated CSM and onboarding?

Yes, enterprise customers get a dedicated customer success team, structured onboarding for each brand and region, and a defined escalation path. Multi-brand rollouts typically run on a 60–90 day phased plan.

How does cross-brand insight sharing work in practice?

Test insights are tagged at the experiment level and made visible across the portfolio with configurable controls. Insights from one brand can inform tests in another while respecting per-brand confidentiality where required.

Talk to our enterprise team.

Portfolio mapping. Migration plan from your current stack. Phased rollout designed for your governance model.

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