By Ryan MacLagan, VP of Business Development at LodgIQ
Every revenue manager knows the frustration: performance drops unexpectedly, pickup slows, or ADRs fluctuate without a clear reason. The system shows you what changed, but it doesn’t show why. And to find out, you’re bouncing between PMS reports, spreadsheets, and legacy dashboards, trying to make sense of disconnected data.
With Pace Analytics, LodgIQ brings root-cause insight directly inside the RMS. No tab hopping, no fragmented reporting. Just fast, filterable answers when and where you actually need them.
From “What Happened” to “Why It Happened”
Pace Analytics was designed to answer the question most revenue managers ask after a surprise shift in performance: Why did this happen?
Integrated directly into LodgIQ, it lets users rebuild the business-on-the-books as of any past date, then filter by nearly any data point: room type, segment, rate plan, distribution channel, and more. With Data Lens, users can drill down to the reservation level, without leaving the RMS interface.
It’s not just a report, it’s all the relevant data embedded where you work.
Granularity That Accelerates Insight
With Pace Analytics, you can view an entire year of pickup data on a single screen, aggregated by day, week, or month. Whether you’re working on a rolling 12-month view, a fiscal year, or a calendar year, the tool adapts instantly. You can toggle between same-day-last-year (SDLY) comparisons or align by day of the week to spot patterns more meaningfully.
But it’s not just about visualizing performance, it’s about understanding what’s driving it. Pace Analytics allows you to go beyond surface metrics and investigate why certain days are under or overperforming.
Let’s say a revenue manager sees a strong pickup for October 4, but the ADR has dropped compared to prior weeks. Within Pace Analytics, he drills into that day and immediately identifies the presence of zero-rate bookings, possibly from a technical issue on the booking engine. He isolates those reservations, flags the issue, and fixes the leak. The discrepancy in ADR is resolved, and pricing strategy is adjusted in time for the weekend.
What would previously require going through multiple systems and spreadsheets is now visible in seconds or minutes, with complete transparency down to the source.
Save an Hour a Day, Especially During Budget Season
Pace Analytics is built to drastically reduce the time spent on reporting and analysis, both in daily workflows and during high-pressure periods like budget season. Instead of merging exports, or switching between tools, you get instant, ready-to-use insights directly from within the RMS.
You can export or schedule the delivery of reports, adjust your view from daily to weekly or monthly aggregations in one click, and filter performance by any attribute: segment, rate plan, channel, room type, or date range. This flexibility can easily save you an hour a day and get you to the answers and conclusions you’re looking for much more productively.
Also, pre-built breakdowns by business mix and segment make it easy to generate updates for stakeholders that are report-ready.
Designed for the Revenue Manager’s Workflow
This isn’t just BI dressed up in RMS clothing. The interface is built for the actual day-to-day workflow of revenue teams. It replaces the traditional “weekly scramble” with instant insights that are accessible by role:
- Analysts get detailed pickup views
- Executives see week-over-week or month-over-month trends
- Everyone speaks from the same data source
The Bottom Line
Understanding pickup and pace isn’t just about tracking, it’s about diagnosing.
Pace Analytics gives revenue leaders the power to investigate, explain, and act on performance shifts within the RMS, with the granularity of a BI tool, and without the overhead of disconnected systems.
Such a tool can truly empower revenue managers to free up time spent on tactical tasks and spend more time thinking strategically, focusing on how they can really make significant impacts on maximizing revenue.
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