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Reviewflowz monitors all these critical platforms plus 200+ others from one dashboard, ensuring you capture and respond to feedback wherever borrowers choose to leave reviews about your lending services."}},{"@type":"Question","name":"How do I measure loan officer review performance accurately?","acceptedAnswer":{"@type":"Answer","text":"Review conversion rate (reviews divided by closed loans) provides the most accurate performance metric, and Reviewflowz calculates this automatically using your Encompass loan volume data. A loan officer with 30 reviews from 150 closings (20% conversion) demonstrates better borrower satisfaction than someone with 80 reviews from 800 closings (10% conversion). Raw review counts ignore transaction volume and can mislead performance evaluations. The platform generates detailed reports showing conversion rates, response times, and satisfaction scores per officer using actual loan closing data."}},{"@type":"Question","name":"How does Encompass trigger review requests automatically?","acceptedAnswer":{"@type":"Answer","text":"Reviewflowz monitors your Encompass system for loan closing events and immediately sends review requests to borrowers via your chosen communication method (email, SMS, or WhatsApp). The integration detects when loan status changes to closed, then automatically pulls borrower contact information and sends personalized review invitations to Google, Zillow, or your preferred platforms. 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WhatsApp pricing varies by country but uses the same flexible, pay-as-you-go model without monthly minimums or long-term contracts."}},{"@type":"Question","name":"How does review attribution work for loan officers?","acceptedAnswer":{"@type":"Answer","text":"Reviewflowz automatically connects incoming reviews to specific loan officers using loan data directly from your Encompass system, eliminating the need for borrowers to mention staff names in their feedback. When a review arrives from a closed loan, the system matches it to the assigned loan officer without requiring name-drops that often trigger Google's review removal algorithms. 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Reviewflowz triggers review requests the moment a loan closes in your Encompass system, sending personalized requests via email ($5 per 1,000), SMS ($5 per 100), or WhatsApp to capture feedback while borrower satisfaction peaks. Your clients receive professional review invitations directing them to Google, Zillow, LendingTree, or your preferred platforms without any manual work from your loan officers. The system runs continuously in the background, ensuring every closed loan generates a review opportunity regardless of loan volume or staff workload.
Identify your top borrower advocates automatically
When borrowers leave 5-star reviews, that positive feedback automatically syncs back to their loan file in Encompass, flagging your most satisfied clients directly in your daily workflow. This real-time identification lets loan officers spot potential referral sources, testimonial candidates, and repeat clients during regular file management without searching through external review platforms. Your happiest borrowers become visible assets within your existing loan processing system, making it simple to leverage positive relationships for business growth and targeted marketing campaigns.
Track loan officer reviews without name mentions
Reviewflowz automatically attributes incoming reviews to the correct loan officers using Encompass loan data, eliminating the need for borrowers to mention staff names in their feedback. This approach prevents Google's algorithmic removal of reviews containing specific employee references while maintaining accurate performance tracking per officer. Your reviews read naturally without forced name-drops, reducing flagged content while generating detailed leaderboards and attribution reports that show exactly which loan officers excel at borrower satisfaction across all monitored platforms.
How serious are you about your reviews?
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Track your true review conversion rate by measuring reviews collected against actual loan closings from Encompass, not just raw review counts that ignore transaction volume. A loan officer with 50 reviews from 200 closings (25% conversion) significantly outperforms someone with 100 reviews from 1,000 closings (10% conversion rate). Reviewflowz pulls your exact loan volume data to calculate meaningful performance metrics, helping you identify which officers consistently generate feedback and which need improved client satisfaction strategies.
AI responds to mortgage reviews automatically
Reviewflowz generates professional responses to every review across Google, Zillow, LendingTree, and 200+ platforms using AI trained on mortgage industry best practices and compliance considerations. The system crafts appropriate replies for positive testimonials, addresses concerns in negative feedback, and maintains your brand voice across all platforms without manual intervention from busy loan officers. You can approve responses before publishing or enable automatic replies, ensuring consistent engagement that boosts search rankings and demonstrates responsiveness to potential borrowers researching your services.
FAQs
Everything you need to know about the product and billing. Can’t find the answer you’re looking for? Please chat to our team.
Which review platforms matter most for mortgage lenders?
Google Reviews dominates local search results and borrower research, making it the top priority for mortgage professionals. Industry-specific platforms like Zillow, LendingTree, and Better Business Bureau carry equal weight since borrowers actively compare lenders on these specialized sites before applying. Yelp remains important for local discovery, especially for mortgage brokers and community banks. Reviewflowz monitors all these critical platforms plus 200+ others from one dashboard, ensuring you capture and respond to feedback wherever borrowers choose to leave reviews about your lending services.
How do I measure loan officer review performance accurately?
Review conversion rate (reviews divided by closed loans) provides the most accurate performance metric, and Reviewflowz calculates this automatically using your Encompass loan volume data. A loan officer with 30 reviews from 150 closings (20% conversion) demonstrates better borrower satisfaction than someone with 80 reviews from 800 closings (10% conversion). Raw review counts ignore transaction volume and can mislead performance evaluations. The platform generates detailed reports showing conversion rates, response times, and satisfaction scores per officer using actual loan closing data.
How does Encompass trigger review requests automatically?
Reviewflowz monitors your Encompass system for loan closing events and immediately sends review requests to borrowers via your chosen communication method (email, SMS, or WhatsApp). The integration detects when loan status changes to closed, then automatically pulls borrower contact information and sends personalized review invitations to Google, Zillow, or your preferred platforms. You configure the trigger once during setup, then every future loan closing generates an automatic review request without any manual intervention from loan officers or support staff.
Can mortgage companies use WhatsApp for review requests?
Yes, Reviewflowz supports WhatsApp review requests alongside email and SMS options for mortgage and lending professionals. WhatsApp delivers nearly 98% open rates compared to roughly 20% for email, making it highly effective for borrower engagement after loan closings. The platform automatically sends WhatsApp review invitations when loans close in Encompass, following the same trigger-based automation as other communication channels. WhatsApp pricing varies by country but uses the same flexible, pay-as-you-go model without monthly minimums or long-term contracts.
How does review attribution work for loan officers?
Reviewflowz automatically connects incoming reviews to specific loan officers using loan data directly from your Encompass system, eliminating the need for borrowers to mention staff names in their feedback. When a review arrives from a closed loan, the system matches it to the assigned loan officer without requiring name-drops that often trigger Google's review removal algorithms. This automatic attribution generates accurate performance tracking, leaderboards, and individual reports while keeping reviews natural and compliant with platform guidelines.
How quickly can I connect Reviewflowz to Encompass?
Setup takes under 15 minutes with no developer or IT support required. Simply connect your Encompass system through the integration dashboard, select loan closing as your trigger event, choose your preferred communication method (email, SMS, or WhatsApp), and activate the automation. Your first review request sends automatically when the next loan closes in Encompass. The integration runs immediately without waiting periods, technical configuration, or staff training requirements.
What do Encompass review requests cost per loan closing?
Email review requests cost $5 per 1,000 sends and SMS requests cost $5 per 100 sends, making each request cost pennies per closed loan. WhatsApp pricing varies by country but follows the same pay-as-you-go structure. With the average review conversion rate of 7.5% across Reviewflowz customers, most mortgage professionals collect multiple reviews for every dollar spent on requests. There are no monthly minimums, contracts, or setup fees, so you only pay for actual review requests sent to your borrowers.
