{"id":79321,"date":"2026-01-30T10:28:45","date_gmt":"2026-01-30T10:28:45","guid":{"rendered":"https:\/\/www.bloomreach.com\/?page_id=79321"},"modified":"2026-02-09T14:31:51","modified_gmt":"2026-02-09T14:31:51","slug":"rfp-template","status":"publish","type":"page","link":"https:\/\/www.bloomreach.com\/en\/rfp-template","title":{"rendered":"Email Marketing Platform RFP Template"},"content":{"rendered":"\t\t
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Email Marketing Platform <\/br>RFP Template<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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82 Questions To Evaluate Vendors<\/strong><\/span><\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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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.<\/p>

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Last updated: February 2026<\/span><\/em><\/p>

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How To Use This Template<\/strong><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Download Free RFP Template<\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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What This RFP Template Includes<\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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This email marketing platform RFP contains <\/span>82 detailed questions across 12 capability areas<\/strong>, and is designed for enterprise teams evaluating platforms like Bloomreach, Salesforce Marketing Cloud, Braze, Iterable, Klaviyo, and similar solutions.\u00a0<\/span><\/p>

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The template helps distinguish modern real-time platforms from legacy batch-processing systems by testing:<\/span><\/p>

  • Event-to-action latency<\/strong> (real-time vs. hourly batch jobs)<\/span><\/li>
  • Autonomous AI agents<\/strong> vs. co-pilot tools<\/span><\/li>
  • True cross-channel orchestration<\/strong> vs. parallel campaigns<\/span><\/li>
  • Deliverability infrastructure<\/strong> at enterprise scale (100M+ sends)<\/span><\/li><\/ul>

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    Format: Google Sheets | License: Free for commercial use<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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    The 12 Evaluation Categories<\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    1. Real-Time Data Architecture<\/h4>\n <\/div>\n
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    Event-to-action latency, identity resolution, profile unification, schema evolution, data capture, retention policies<\/p>

    Tests:<\/strong> Can it activate on behavior in seconds vs. hours?<\/p> <\/div>\n <\/div>\n

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    2. Agentic & Autonomous Marketing<\/h4>\n <\/div>\n
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    AI agents that plan\/execute campaigns, individual decisioning, deployment evidence, autonomous vs. co-pilot differentiation<\/p>

    Tests:<\/strong> Does the platform use true automation vs. co-pilot suggestions?<\/p> <\/div>\n <\/div>\n

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    3. AI & Machine Learning<\/h4>\n <\/div>\n
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    Propensity models, variant selection per recipient, product recommendations, content generation, segment discovery<\/p>

    Tests:<\/strong> Does the platform have real AI personalization vs. feature checkboxes?<\/p> <\/div>\n <\/div>\n

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    4. Cross-Channel Orchestration<\/h4>\n <\/div>\n
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    Journey building across email\/SMS\/push\/WhatsApp, real-time triggers, frequency capping, arbitration, non-native channel integration<\/p>

    Tests:<\/strong> Is there unified orchestration vs. separate channel tools?<\/p> <\/div>\n <\/div>\n

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    5. Analytics & Reporting<\/h4>\n <\/div>\n
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    Real-time dashboards, attribution, segment activation, data refresh rates, visualization types, AI-assisted insights<\/p>

    Tests:<\/strong> Does it feature self-service insights or data team dependencies?<\/p> <\/div>\n <\/div>\n

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    6. Content & Personalization<\/h4>\n <\/div>\n
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    Dynamic rendering, contextual elements, brand governance, QA safeguards, personalization logic, module reusability<\/p>

    Tests:<\/strong> Is there marketer-friendly personalization at scale?<\/p> <\/div>\n <\/div>\n

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    7. Testing & Optimization<\/h4>\n <\/div>\n
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    A\/B testing, multivariate, bandits, send-time optimization, winner operationalization, AI-driven optimization<\/p>

    Tests:<\/strong> What is the experimentation accessibility and learning velocity?<\/p> <\/div>\n <\/div>\n

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    8. Deliverability & Infrastructure<\/h4>\n <\/div>\n
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    MTA architecture, throughput at scale, throttling, reputation monitoring, services team, IP\/domain strategy<\/p>

    Tests:<\/strong> What does inbox placement look like during 100M+ send peaks?<\/p> <\/div>\n <\/div>\n

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    9. Implementation & Migration<\/h4>\n <\/div>\n
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    Phased migration plans, team roles, IP warm-up, data migration, training, QA frameworks, consent enforcement<\/p>

    Tests:<\/strong> What are the realistic timelines and resource requirements of the platform?<\/p> <\/div>\n <\/div>\n

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    10. Integrations Ecosystem<\/h4>\n <\/div>\n
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    Marketplace connectors, data warehouse integrations, API\/SDK capabilities, marketer-friendly configuration<\/p>

    Tests:<\/strong> How many prebuilt use cases are there vs. having to resort to custom integration?<\/p> <\/div>\n <\/div>\n

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    11. Governance & Multi-Brand Support<\/h4>\n <\/div>\n
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    Multi-brand hierarchy, role-based access, localization, content governance, approval workflows, global policies<\/p>

    Tests:<\/strong> Are there enterprise-scale permissions and compliance?<\/p> <\/div>\n <\/div>\n

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    12. Privacy & Data Protection<\/h4>\n <\/div>\n
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    Consent management, legal requirements, data subject requests, subprocessors, incident response, opt-in provenance<\/p>

    Tests:<\/strong> What is the GDPR\/CCPA\/CASL compliance depth?<\/p> <\/div>\n <\/div>\n <\/div>\n\n

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    How To Use This Template<\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Migration & Platform Selection Scenarios<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    \n \n \n \n <\/svg>\n Migrating from Mailchimp, Klaviyo, or Constant Contact? <\/div>\n

    If you're outgrowing entry-level ESPs and need enterprise capabilities:<\/b><\/p>

    Start with:<\/b> Data Architecture (Q1-9) \u2014 Test if they can handle real-time activation vs. batch processing.<\/span><\/p>

    • Request specific event-to-action latency metrics (Q2)<\/span><\/li>
    • Validate identity resolution approach (Q3) \u2014 entry-level ESPs use simple email matching<\/span><\/li><\/ul>

      Then review:<\/b> AI & Machine Learning (Q15-21) \u2014 Validate advanced personalization beyond basic merge tags.<\/span><\/p>

      • Test autonomous AI agents (Q10-14) vs. simple automation rules<\/span><\/li>
      • Compare product recommendation engines (Q17)<\/span><\/li><\/ul>

        Don't skip:<\/b> Infrastructure (Q48-53) \u2014 Ensure they can scale beyond your current 10-50M sends.<\/span><\/p>

        • Validate throughput during peak periods (Q48-49)<\/span><\/li>
        • Confirm deliverability support depth (Q52-53)<\/span><\/li><\/ul>

          Why it matters:<\/b> 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.<\/span><\/p><\/div>\n <\/div>\n

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          \n \n \n \n <\/svg>\n Migrating from Salesforce Marketing Cloud or Adobe Campaign? <\/div>\n

          If you're leaving legacy enterprise platforms for modern alternatives:<\/b><\/p>

          Critical focus:<\/b> Data Architecture (Q2-3, Q9) \u2014 Compare event-to-action latency, since legacy platforms often have delays between 15 minutes and 2 hours.<\/span><\/p>

          • Test a unified profile model (Q3) vs. SFMC's multiple subscriber models<\/span><\/li>
          • Validate historical data ingestion (Q9, Q62)<\/span><\/li><\/ul>

            Validation test:<\/b> Agentic AI (Q10-14) \u2014 Distinguish autonomous AI from something like Salesforce Einstein's predictive scores, which still require manual campaign builds.<\/span><\/p>

            • Request deployment evidence (Q13)<\/span><\/li>
            • Compare decisioning frameworks (Q11)<\/span><\/li><\/ul>

              Cost analysis:<\/b> Infrastructure (Q48-53) + Implementation (Q54-59) \u2014 Legacy platforms charge per module, so you should validate the total cost of ownership.<\/span><\/p>

              • Factor in professional services vs. self-service capabilities<\/span><\/li><\/ul>

                Why it matters:<\/b> Legacy platforms brand \"AI\" but require extensive manual setup. Test for autonomous execution, not just prediction scores.<\/span><\/p><\/div>\n <\/div>\n

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                \n \n \n \n <\/svg>\n Consolidating a fragmented martech stack (separate ESP + CDP + SMS tool)? <\/div>\n

                If you're managing Mailchimp + Segment + Attentive + multiple analytics tools:<\/b><\/p>

                Priority 1:<\/b> Data Architecture (Q1, Q3-4) \u2014 How do they unify profiles without requiring an external CDP?<\/span><\/p>

                • Validate identity resolution approach (Q3)<\/span><\/li>
                • Test cross-channel data combination (Q4)<\/span><\/li>
                • Confirm schema evolution support (Q5)<\/span><\/li><\/ul>

                  Priority 2:<\/b> Cross-Channel Orchestration (Q22-24, Q26) \u2014 Test real unified orchestration vs. API stitching between tools.<\/span><\/p>

                  • Validate single-canvas journey building (Q22)<\/span><\/li>
                  • Confirm global frequency caps across channels (Q24)<\/span><\/li>
                  • Test cross-journey arbitration (Q26)<\/span><\/li><\/ul>

                    Priority 3:<\/b> Analytics (Q28-30, Q33) \u2014 Validate cross-channel reporting without reverse ETL.<\/span><\/p>

                    • Test real-time dashboard refresh (Q28)<\/span><\/li>
                    • Confirm cross-channel stitching (Q33)<\/span><\/li><\/ul>

                      Why it matters:<\/b> True unification means one platform, one profile, one set of frequency caps \u2014 not five tools with Zapier connections.<\/span><\/p><\/div>\n <\/div>\n

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                      \n \n \n \n <\/svg>\n Switching from Braze, Iterable, or MoEngage? <\/div>\n

                      If you're reevaluating your current modern ESP:<\/b><\/p>

                      Competitive focus:<\/b> Agentic AI (Q10-14) \u2014 Most competitors offer co-pilots; test for full autonomous execution.<\/span><\/p>

                      • Request evidence of autonomous campaign planning and execution (Q10, Q12-13)<\/span><\/li>
                      • Differentiate from assistant tools (Q14)<\/span><\/li><\/ul>

                        Differentiation test:<\/b> AI & ML (Q15-17, Q20) \u2014 Compare real-time variant selection approaches and auto-segmentation depth.<\/span><\/p>

                        • Test per-recipient optimization (Q16)<\/span><\/li>
                        • Validate auto-segment discovery (Q20)<\/span><\/li>
                        • Compare propensity models (Q15)<\/span><\/li><\/ul>

                          TCO analysis:<\/b> Infrastructure (Q48-53) + pricing in FAQ section \u2014 Modern ESPs vary widely on volume tier pricing jumps.<\/span><\/p>

                          • Understand concurrent send capacity (Q48)<\/span><\/li>
                          • Factor in deliverability services (Q53)<\/span><\/li><\/ul>

                            Why it matters:<\/b> Modern platforms look similar on feature sheets. Real differences emerge in AI autonomy level, latency, and pricing inflection points.<\/span><\/p><\/div>\n <\/div>\n

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                            \n \n \n \n <\/svg>\n Integrating with Shopify <\/div>\n

                            If you run Shopify or Shopify Plus stores:<\/b><\/p>

                            Prebuilt connector:<\/b> Integrations & Ecosystem (Q63) \u2014 Understand the depth of the native Shopify integration.<\/span><\/p>

                            • Test real-time order sync (Q63)<\/span><\/li>
                            • Validate catalog\/inventory sync (Q63)<\/span><\/li>
                            • Confirm customer profile merging (Q3)<\/span><\/li><\/ul>

                              Ecommerce data model:<\/b> Data Architecture (Q3-4) \u2014 Evaluate orders, line items, products, collections, variants, and inventory.<\/span><\/p>

                              • Test product catalog integration (Q4)<\/span><\/li>
                              • Validate inventory-aware personalization (Q37)<\/span><\/li>
                              • Confirm cart abandonment triggers (Q23)<\/span><\/li><\/ul>

                                Shopify-specific features:<\/b> Content & Personalization (Q35-37) \u2014 Look into product blocks, discount codes, and inventory checks.<\/span><\/p>

                                • Test dynamic product rendering (Q36-37)<\/span><\/li>
                                • Validate Shopify metafield support (Q4-5)<\/span><\/li>
                                • Confirm discount code generation (Q66)<\/span><\/li><\/ul>

                                  Why it matters:<\/b> A generic ESP + Shopify via Zapier creates delays. A native integration should sync orders in seconds, not minutes or hours.<\/span><\/p><\/div>\n <\/div>\n

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                                  \n \n \n \n <\/svg>\n Replacing a custom-built martech stack? <\/div>\n

                                  If you've outgrown internal tools and need enterprise capabilities:<\/b><\/p>

                                  Migration complexity:<\/b> Implementation (Q54-62) \u2014 Understand the data migration and cutover approach.<\/span><\/p>

                                  • Validate support for custom data schemas (Q4-5)<\/span><\/li>
                                  • Test API\/SDK flexibility for existing integrations (Q66)<\/span><\/li>
                                  • Confirm parallel run capabilities (Q54)<\/span><\/li><\/ul>

                                    Feature parity:<\/b> All categories \u2014 Systematically validate each capability your team built.<\/span><\/p>

                                    • Real-time triggers and webhooks (Q22-23, Q25)<\/span><\/li>
                                    • Custom computed attributes (Q6)<\/span><\/li>
                                    • Flexible segmentation (Q34)<\/span><\/li><\/ul>

                                      Integration continuity:<\/b> Integrations & Ecosystem (Q63-67) \u2014 Ensure that existing integrations can be maintained.<\/span><\/p>

                                      • Test REST\/GraphQL API depth (Q66)<\/span><\/li>
                                      • Validate webhook support for custom systems (Q25)<\/span><\/li>
                                      • Confirm data warehouse connectivity (Q64)<\/span><\/li><\/ul>

                                        Why it matters:<\/b> Custom stacks often have unique capabilities you've built over years. Ensure that the platform can replicate or exceed these without regression.<\/span><\/p><\/div>\n <\/div>\n <\/div>\n\n