Email Marketing Platform RFP Template | Bloomreach
Email Marketing Platform RFP Template
82 Questions To Evaluate Vendors
The complete evaluation framework for enterprise marketing teams selecting modern email and cross-channel platforms. This template covers real-time architecture, AI capabilities, orchestration, and deliverability at scale.
Last updated: February 2026
What This RFP Template Includes
This email marketing platform RFP contains 82 detailed questions across 12 capability areas, and is designed for enterprise teams evaluating platforms like Bloomreach, Salesforce Marketing Cloud, Braze, Iterable, Klaviyo, and similar solutions.
The template helps distinguish modern real-time platforms from legacy batch-processing systems by testing:
- Event-to-action latency (real-time vs. hourly batch jobs)
- Autonomous AI agents vs. co-pilot tools
- True cross-channel orchestration vs. parallel campaigns
- Deliverability infrastructure at enterprise scale (100M+ sends)
Format: Google Sheets | License: Free for commercial use
The 12 Evaluation Categories
1. Real-Time Data Architecture
Event-to-action latency, identity resolution, profile unification, schema evolution, data capture, retention policies
Tests: Can it activate on behavior in seconds vs. hours?
2. Agentic & Autonomous Marketing
AI agents that plan/execute campaigns, individual decisioning, deployment evidence, autonomous vs. co-pilot differentiation
Tests: Does the platform use true automation vs. co-pilot suggestions?
3. AI & Machine Learning
Propensity models, variant selection per recipient, product recommendations, content generation, segment discovery
Tests: Does the platform have real AI personalization vs. feature checkboxes?
4. Cross-Channel Orchestration
Journey building across email/SMS/push/WhatsApp, real-time triggers, frequency capping, arbitration, non-native channel integration
Tests: Is there unified orchestration vs. separate channel tools?
5. Analytics & Reporting
Real-time dashboards, attribution, segment activation, data refresh rates, visualization types, AI-assisted insights
Tests: Does it feature self-service insights or data team dependencies?
6. Content & Personalization
Dynamic rendering, contextual elements, brand governance, QA safeguards, personalization logic, module reusability
Tests: Is there marketer-friendly personalization at scale?
7. Testing & Optimization
A/B testing, multivariate, bandits, send-time optimization, winner operationalization, AI-driven optimization
Tests: What is the experimentation accessibility and learning velocity?
8. Deliverability & Infrastructure
MTA architecture, throughput at scale, throttling, reputation monitoring, services team, IP/domain strategy
Tests: What does inbox placement look like during 100M+ send peaks?
9. Implementation & Migration
Phased migration plans, team roles, IP warm-up, data migration, training, QA frameworks, consent enforcement
Tests: What are the realistic timelines and resource requirements of the platform?
10. Integrations Ecosystem
Marketplace connectors, data warehouse integrations, API/SDK capabilities, marketer-friendly configuration
Tests: How many prebuilt use cases are there vs. having to resort to custom integration?
11. Governance & Multi-Brand Support
Multi-brand hierarchy, role-based access, localization, content governance, approval workflows, global policies
Tests: Are there enterprise-scale permissions and compliance?
12. Privacy & Data Protection
Consent management, legal requirements, data subject requests, subprocessors, incident response, opt-in provenance
Tests: What is the GDPR/CCPA/CASL compliance depth?
How To Use This Template
Migration & Platform Selection Scenarios
Migrating from Mailchimp, Klaviyo, or Constant Contact?
If you're outgrowing entry-level ESPs and need enterprise capabilities:
Start with: Data Architecture (Q1-9) — Test if they can handle real-time activation vs. batch processing.
- Request specific event-to-action latency metrics (Q2)
- Validate identity resolution approach (Q3) — entry-level ESPs use simple email matching
Then review: AI & Machine Learning (Q15-21) — Validate advanced personalization beyond basic merge tags.
- Test autonomous AI agents (Q10-14) vs. simple automation rules
- Compare product recommendation engines (Q17)
Don't skip: Infrastructure (Q48-53) — Ensure they can scale beyond your current 10-50M sends.
- Validate throughput during peak periods (Q48-49)
- Confirm deliverability support depth (Q52-53)
Why it matters: Entry-level ESPs run on batch/list models. You need proof that the new platform processes events in real time (<5 seconds), not hourly exports.