Guides·7 min read
Customer review analytics for retail chains: the complete guide
Customer review analytics for retail chains: from raw reviews to topic, risk and store scorecards with AI classification, metrics, comparison and reports.
Blog
Retail reputation management guides
Practical articles on how multi-store chains collect customer reviews, analyse them and turn them into action.
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Guides·7 min read
Multi-platform reputation management guide for retail chains
A multi-platform reputation management guide: collecting Google, Yandex, Şikayetvar, Ekşi Sözlük and X reviews, AI classification, alerts, reports and leads.
Platforms
Platforms·5 min read
Ekşi Sözlük brand monitoring: catching feedback in forum threads
How retail chains use Ekşi Sözlük brand monitoring to find relevant topics, classify entries with AI and link store mentions to the right branch.
Platforms·4 min read
Google Maps review management: hundreds of stores on one screen
How multi-store retail chains collect Google Maps reviews automatically, classify them per store and act on critical reviews the same day.
Platforms·5 min read
Şikayetvar monitoring: route brand complaints to the right store
A practical guide to Şikayetvar monitoring for retail chains: automatic collection of new complaints, AI classification and routing to the responsible store.
Platforms·5 min read
X (Twitter) customer feedback: from brand mentions to leads
How retail chains collect X (Twitter) customer feedback as reviews, filter out noise with AI and turn posts with purchase intent into sales leads.
Platforms·4 min read
Yandex Maps reviews: adding a second map source to your chain
How retail chains collect Yandex Maps reviews per store, match them to existing Google-linked stores and keep both map sources in sync in BranchVoice.
AI analysis
AI analysis·5 min read
AI narrative summaries: findings and next steps in one text
AI narrative summaries turn a period's review data for a brand, store, region or topic into a headline, findings and recommended actions, under a daily cap.
AI analysis·5 min read
AI review classification: sentiment, risk and topic labels
AI review classification gives every review in a multi-store chain a sentiment, risk, topic and intent label. Here is what each means and how teams use them.
AI analysis·5 min read
Analysis groups and topic taxonomy: ask your own questions
Analysis groups and topic taxonomy let a retail chain extend the topics the AI checks in every review with its own priorities. Setup, question types, backfill.
AI analysis·5 min read
Employee mentions in reviews: praise and complaints by staff
Employee mentions in reviews use AI to detect staff that customers name or refer to by title, so retail chains can track praise and complaints per person.
AI analysis·5 min read
Matching reviews to stores: brand complaints to the right branch
Matching reviews to stores uses AI to link brand-level reviews from Şikayetvar, Ekşi Sözlük and X to the right branch. The rules, thresholds and manual queue.
Operations
Operations·5 min read
Critical review alerts: e-mail the right manager in time
Set up critical review alerts that e-mail a regional manager when 1-star counts, negative rate or a store's Google rating cross the threshold you define.
Operations·5 min read
Importing your store list: hundreds of branches in minutes
The store list import wizard searches Google Maps or Yandex Maps for your branches, lets you confirm candidates and shows a cost estimate before it starts.
Operations·5 min read
Review anomaly detection: spot stores drifting from normal
Review anomaly detection flags a store whose review volume, rating or topic mix deviates unexpectedly from its own history, with no thresholds to configure.
Operations·5 min read
Scheduled review sync: new reviews arrive on their own
Scheduled review sync pulls new reviews from Google, Yandex, Şikayetvar and Ekşi Sözlük on a cadence set by your plan; manual sync is always one click away.
Operations·4 min read
Store comparison: branches side by side on the same metrics
Use store comparison to line up selected stores, cities or regions over one period on rating, negative rate, response rate and AI-derived experience metrics.
Reporting
Reporting·6 min read
Automated PDF and Excel reports for multi-store review data
How to schedule automated PDF and Excel reports by store, region or brand, what each report section contains and how regional managers put them to work.
Reporting·6 min read
Dashboard metrics guide: what every review number means
A dashboard metrics guide for retail chains: average rating, negative rate, experience score, topic distribution and change versus the previous period.
Reporting·5 min read
Weekly digest email: your review scorecard every Monday
The weekly digest email sends your team a seven-day review scorecard and notable changes every Monday: what it contains and how it differs from reports.
Lead capture
Lead capture·5 min read
Capturing leads from social media: purchase intent on X
How capturing leads from social media works: filtering purchase-intent posts on X with AI, scoring them and tracking status in the lead center.
Security & KVKK
Security & KVKK·5 min read
KVKK and data security: personal data in review analytics
Assessing a review analytics platform for KVKK and data security: HTTPS, hashed passwords, short-lived sessions, company isolation and the data processor role.