Rating distribution
Star breakdown (1–5) per location with delta vs. last period.
Insights
Everything Recenzi surfaces across your Google Business Profiles and Local Services Ads — grouped by workspace, and included on every plan.
Star breakdown (1–5) per location with delta vs. last period.
New reviews per day, week, month — across all locations.
Rolling average rating per location with anomaly detection.
Positive / neutral / negative reviews plotted over time per location.
What customers talk about: communication, service, wait time, pricing, quality.
What happens to calls in the 7/14/30 days after a 1- or 2-star review.
Plain-English summary of what changed in the last 7, 30, or 90 days.
Reviews in Spanish detected, translated, and scored.
Sorted by age and severity — never miss a negative review again.
How fast each location replies, vs. corporate target.
Draft replies in your brand voice. Owner approves before sending.
Score each reply on empathy, specificity, and brand alignment.
Automatically detect every staff name mentioned in review text.
Who got called out most this period, with sentiment weighting.
Set $ values per mention type (5-star named, negative mention, etc.).
Auto-tally points and dollars per staff per location per month.
Export the bonus report your payroll system or finance lead can ingest.
Top-performing staff across the entire franchise, not just one location.
Whether days after a named mention see higher tap-to-call.
Re-score 12 months of historical reviews on first connect.
Top search queries driving impressions to each location.
Hide branded queries to see only intent-driven search terms.
Queries gaining share month-over-month.
Queries losing impressions before it shows up in calls.
Brand-new queries finding you — surface emerging demand.
Every keyword, every month, in one searchable view.
Which queries actually drive tap-to-call — not just impressions.
Same keyword, two locations: why one ranks and the other doesn’t.
When two locations rank differently, what’s different in their copy.
Export your top non-branded queries as a paid search keyword list.
Turn a rising keyword cluster into a brief your writer can run with.
Hide queries you don’t care about (branded, off-topic, misspellings).
Statistically meaningful lift by day of week — with confidence interval.
Educational / transactional / urgency / showcase — which works where.
Breakdown by intent, tone, format, day, and image presence.
How long the post effect lasts: 24h, 72h, 7 days.
Whether photos in your posts actually outperform plain text.
Below-threshold claims are hidden, not faked.
“Locations that posted X saw 18% more calls vs. matched controls.”
Write once, publish across the portfolio with localized copy.
Suggested next post based on what’s working at similar locations.
Spend, lead count, and CPL per location and per campaign, with deltas.
Impressions → leads → booked → disputed, with rate and net spend.
Every lead call scored for intent, urgency, and quality from the transcript.
What each caller wanted — booking, quote, info — and top topics asked.
Booked, likely, maybe, or no-match — predicted from the call.
Junk, wrong-number, and out-of-area leads flagged and tracked through Google.
Daily budget and pause per location, without leaving Recenzi.
License, insurance, verification & background-check status, with alerts.
When leads come in, so you can staff and bid around the peaks.
Which services drive paid leads and which convert — leads, booked %, CPL.
Share of booked LSA leads that later leave a review, and how they rate you.
Views per location with WoW / MoM deltas.
Calls, direction requests, website clicks rolled up and broken down.
How many calls came from your profile vs. your Local Services Ads.
Views vs. calls vs. directions vs. website plotted independently.
Which photos are getting seen, which are stale, what to upload next.
Every GBP tap-to-call event captured per location, per day.
Tie each call to whether your team picked up — CallRail / Twilio / CTM.
Quick hangups vs. real conversations vs. long calls.
Optional CRM: ServiceTitan, Jobber, HouseCallPro — close the loop.
For each call peak, the likely cause: review, post, keyword, photo, or ad.
Rating drops, call drops, keyword loss, post-cadence breakdowns.
When calls drop, what else changed in the same window.
CPL spikes, budget burn, and drops in lead quality, with a likely cause.
2–3 prescribed actions per anomaly, with draft text where applicable.
Alerts when a negative review sits unanswered past your SLA.
Warn before a license or insurance lapse pauses a location’s ads.
Email summary of anomalies + actions, per owner or corporate role.
Estimated calls, leads (and dollars) lost while unresolved.
All locations side-by-side: rating, reviews, actions, sentiment, staff.
Post cadence, photo freshness, SLA, NAP, Google Guarantee status.
CPL, booking rate, and Google Guarantee status for every location.
Lowest-performing locations + the specific failure for each.
Each location vs. the network median across every metric.
Each location vs. nearest comparable profiles from public GBP data.
Role-based access: corporate sees bottom-10; franchisee sees own pulse.
Same locations, ranked several ways. The “best” isn’t best on everything.
See it on your own data
We backfill twelve months of history on first connect, so the dashboard isn’t empty the first time you open it.