Review Management Software for Kigo users

Turn every Kigo lease signing into automatic review requests on Google, Zillow, and Apartments.com while tracking which agents perform best.

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How to automate review requests from Kigo transactions
Connect Reviewflowz to Kigo and automatically send review requests whenever a lease is signed, closing is completed, or tenant moves in. You configure the trigger event once in your Kigo account, and every future transaction instantly generates a review request via email, SMS, or WhatsApp to the tenant or buyer. No manual follow-up needed from your property managers or agents. The system knows when these events happen in Kigo and reaches out to clients on their preferred communication channel within minutes of completion.
How to identify your best tenants for referrals
When tenants leave 5-star reviews about your properties, that data automatically syncs back to their contact record in Kigo. Your property managers can instantly see which tenants are your biggest advocates without manually cross-referencing review sites. Use this insight to ask happy tenants for referrals to other property owners, video testimonials for your website, or case studies for marketing materials. The integration flags positive reviewers directly in Kigo so you never miss an opportunity to leverage satisfied clients for business growth.
Track agent review performance without name mentions
Most property companies ask tenants to mention their agent's name in reviews, but Google often flags these as fake and removes them. Reviewflowz solves this by connecting directly to Kigo's transaction data. When reviews come in, the system already knows which agent handled that lease or sale based on Kigo records, so attribution happens automatically without tenants needing to mention names. Your reviews sound more natural, avoid Google's spam filters, and you still get detailed performance breakdowns showing which agents generate the most positive feedback for coaching and bonus calculations.
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Calculate review conversion rates per Kigo transaction
Raw review counts don't tell the real performance story for property managers. An agent with 50 reviews from 500 transactions has a 10% conversion rate, while another with 30 reviews from 100 transactions converts at 30%. Because Reviewflowz integrates with Kigo's transaction data, it automatically calculates your true review conversion rate by dividing total reviews by actual lease signings, closings, and showings completed. This gives you the meaningful metric to optimize against competitors and identify which agents need review collection coaching versus those who excel at client satisfaction.
AI auto-reply to property management reviews
Responding to every review improves your Google ranking and builds trust with prospective tenants, but property managers rarely have time for manual replies. Reviewflowz's AI generates appropriate responses to reviews across Google, Zillow, Apartments.com, Yelp, and 200+ other platforms in your company's voice and tone. You can approve responses before they publish or set them to post automatically so no review goes unanswered. The AI understands property management context and crafts professional replies that address tenant concerns while showcasing your responsiveness to future prospects browsing your reviews.

FAQs

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Which review platforms matter most for Kigo property managers?
Google Reviews should be your top priority since it directly impacts local search visibility when prospects search for rental properties or property management services in your area. Industry-specific platforms like Zillow, Apartments.com, Rentals.com, and Facebook are equally important because they capture prospects who search directly on real estate platforms rather than Google. Yelp also matters for property management companies since many tenants use it to research landlords and management companies. Reviewflowz monitors all these critical platforms plus 200+ others from one dashboard, so you can manage your reputation across every site that influences your leasing success without jumping between multiple accounts.
How do I measure review performance for my Kigo agents?
Review conversion rate is the only metric that matters, calculated as total reviews divided by total transactions completed. Because Reviewflowz integrates with Kigo, it automatically tracks your lease signings, closings, move-ins, and showings to calculate this rate for each agent and your overall business. An agent with 20 reviews from 50 transactions (40% rate) outperforms one with 50 reviews from 300 transactions (17% rate). This metric shows you which agents excel at client satisfaction versus those who simply handle higher volume, helping you identify coaching opportunities and reward top performers accurately.
How are review requests sent from Kigo data?
When specific events occur in Kigo such as lease signings, closing completions, move-ins, or showing appointments, Reviewflowz automatically triggers a review request to your tenant, buyer, or seller via email, SMS, or WhatsApp. You configure the trigger events once during setup by selecting which Kigo activities should generate requests and choosing your preferred communication channel. After initial configuration, every future transaction automatically sends requests without any manual intervention from your staff. The system monitors your Kigo account continuously and responds to new events within minutes of completion.
Can Kigo property managers send WhatsApp review requests?
Yes, Reviewflowz supports WhatsApp review requests triggered automatically from Kigo events like lease signings, closings, move-ins, and showings. WhatsApp achieves nearly 98% open rates compared to email's typical 20%, making it highly effective for reaching tenants and buyers who prefer messaging over email communication. The same automation applies as with email and SMS requests. Once you configure your Kigo triggers and select WhatsApp as your channel, requests go out automatically after each transaction. WhatsApp pricing varies by country but follows our standard pay-as-you-go model with no monthly minimums or contracts required.
How to track individual agent reviews from Kigo transactions?
Reviewflowz automatically attributes reviews to the correct agent using Kigo's transaction data, eliminating the need for tenants or buyers to mention agent names in their reviews. When a review is submitted, the system matches it to the Kigo transaction record and assigns it to the agent who handled that lease, sale, or showing. This approach avoids Google's spam filters since reviews mentioning specific names often get flagged and removed. You get detailed performance dashboards showing each agent's review count, average rating, and conversion rate for accurate performance evaluation, coaching, and bonus calculations without risking review removals.
How long does Kigo and Reviewflowz integration take?
Setup takes under 15 minutes with no developer or IT support required. Simply connect your Kigo account to Reviewflowz, select which transaction events should trigger review requests (lease signings, closings, move-ins, showings), choose your preferred communication channel (email, SMS, or WhatsApp), and you're live immediately. Your first automated review request goes out the same day a triggering event occurs in Kigo. The integration is designed for property managers to configure independently without technical expertise or lengthy implementation processes that require outside help.
What do Kigo review requests cost per transaction?
Email review requests cost $5 per 1,000 emails, SMS requests cost $5 per 100 messages, and WhatsApp pricing varies by country, all on a pay-as-you-go basis with no monthly minimums or long-term contracts. For most property management businesses, this translates to just pennies per review collected. If you complete 200 lease signings monthly and achieve the average 7.5% conversion rate across Reviewflowz customers, you'd collect about 15 reviews for under $1 in email costs or $10 in SMS costs, making it an extremely cost-effective investment in your online reputation and local search rankings.