# CallRevu Feature Readiness Brief Date: 07/12/2026 | Produced: 08:19 AM CDT Prepared for: Bill Hope Jr., Brittney, Kari, and Emma Format: Eagle Suites executive report ## Executive Read - CallRevu appears well suited to answer one part of the marketing question Bill cares about: did marketing make the phone ring, was the call handled well, and did the team recover missed opportunities. - CallRevu alone will not fully answer the last mile question of how calls translate into rooms rented unless its call outcomes can be tied to Cloudbeds stay or booking data, or unless the team already has a reliable booked-appointment or reservation outcome field inside CallRevu. - The immediate job is to secure stable login access, confirm export permissions, and validate the exact fields available for Eagle Suites before locking a weekly or monthly scorecard. - The highest-value first scorecard is market-by-market, not vendor-by-vendor: compare spend, call volume, answer quality, missed-call recovery, and booked-room impact by market and by property. ## What CallRevu Publicly Signals It Can Do - Hosted phone system capability. - Call monitoring and analytics. - AI-based conversation review. - Training and coaching workflow support. - Alerts that surface mishandled opportunities quickly. - Call-flow visibility to identify where calls break down. - Emotion and sentiment-style conversation analytics on customer and staff interactions. ## What We Need To Validate After Login - Enterprise-level visibility across the full Eagle Suites footprint. - Store or property-level performance drilldown. - Total calls by market, property, and date range. - Source or campaign attribution fields that can be rolled up by channel. - Missed-call tracking and whether missed calls were returned. - Sentiment or quality scoring fields for friendliness, helpfulness, and courtesy. - Call recordings, transcripts, and exportability. - Outcome fields: - answered - missed - appointment or booking outcome - lost-opportunity or mishandled-call flags - User permission model for Bob, Kari, Emma, and Brittney. - Export formats and date-range limits. ## Weekly Marketing Status Draft The first weekly version should answer these questions by market and property: - How much did we spend this week and month to date? - How many calls did that spend generate? - How many calls were answered versus missed? - How many missed calls were returned? - How did the call-quality or sentiment scores trend? - Which markets had the best and worst cost per answered call? - Which markets had the best and worst cost per qualified call? - Which properties are losing opportunity because phone handling is weak? ## Monthly Marketing Status Draft The monthly version should add executive rollups: - Total spend by market and by major channel. - Total calls, answered rate, missed rate, and return rate. - Call-quality trend and lowest-performing properties or teams. - Estimated marketing efficiency: - cost per call - cost per answered call - cost per qualified call - cost per booked room if matchback is available - Rooms rented and revenue tied to phone-driven marketing where a clean matchback is possible. - Top opportunities for coaching, staffing, routing, or budget shifts. ## Best Candidate Metrics | Layer | Metrics | | --- | --- | | Spend | market spend, property spend, channel spend | | Demand | total calls, unique callers, first-time callers | | Handling | answered %, missed %, abandoned %, average speed to answer | | Recovery | missed calls returned, missed calls not returned, return speed | | Quality | sentiment or quality score, friendliness, informativeness, courtesy, mishandled-call flags | | Outcome | qualified calls, reservation intent, appointment or booking outcome, booked rooms if available | | Efficiency | cost per call, cost per answered call, cost per qualified call, cost per booked room | ## Data Sources Likely Needed Beyond CallRevu - CallRevu for call intelligence and missed-call recovery. - Google Ads for paid search spend and campaign structure. - Meta / Facebook if paid social is material. - Google Business Profile / local search reporting if local organic demand matters materially by hotel. - Website analytics / lead-conversion reporting if web forms or click-to-call behavior matter in the same scorecard. - Cloudbeds for rooms rented, occupancy impact, and revenue outcome. ## Clarifying Questions For The Marketing Team - Which marketing spend sources should be included in the first weekly and monthly version: - Google Ads - Meta / Facebook - SEO or GBP work - agency fees - other channels - Does CallRevu already contain a reliable booking or appointment outcome field for Eagle Suites? - If not, what is the cleanest way to connect phone lead outcomes back to rooms rented: - Cloudbeds notes - reservation phone numbers - manual matchback - another system - What markets should be the default rollup level: - state - city - individual hotel - all three - Which metrics matter most for leadership decisions: - spend efficiency - missed-call recovery - call quality - booking conversion - all of the above ## Immediate Next Actions 1. Secure Bob login access to CallRevu with export visibility. 2. Confirm whether Kari, Emma, and Brittney want Bob also connected to Google, Meta, or other marketing platforms. 3. Validate one live CallRevu walkthrough and one sample export. 4. Lock the weekly and monthly scorecard definitions before automation. 5. If login or permissions stall, route the blocker to Jeremy with Bill copied. ## Current Bottom Line - CallRevu is likely a strong operating system for call handling, sentiment, and missed-call recovery. - It is probably necessary for the marketing scorecard, but not sufficient by itself for true spend-to-rooms-rented accountability. - The best next move is access first, field validation second, and scorecard design third.