Track what people actually buy. In-store, online, and out-of-home. The 25-35% of consumption that legacy panels miss, captured.
The Saudi FMCG Market
43.2%
Household Penetration
Purchase Frequency
Avg Basket Size
25-35%
of Saudi FMCG spend happens outside the home
Gas stations, cafes, convenience stores, delivery apps. An entire growth channel, unmeasured.
6-12 mo
average lag from purchase to insight on legacy panels
By the time the data arrives, the competitive window it describes has closed.
$0
MENA-native panel alternatives before PanelX
Every panel operating in the region was designed for Western retail structures.
$12B+
in annual GCC consumption invisible to every legacy panel
Enough to reprice every FMCG acquisition in the region.
The consequence is not abstract. Acquisition targets are undervalued by 20-30% because out-of-home revenue is invisible. Brands with strong convenience presence appear to underperform on every quarterly review. Category growth is misattributed to channels that are shrinking, because the channels that are actually growing have never been measured.
From receipt capture to boardroom-ready insight
Panelists scan receipts daily across every channel
No retailer cooperation required. Consumer-side collection captures item-level data from channels structurally inaccessible to retail audit methodology.
AI extracts every line item, price, and quantity
Arabic-native NLP for commerce does not exist off the shelf. No open-source model handles mixed-script receipts and 15+ delivery platform formats. Built from scratch.
Products matched to a unified FMCG taxonomy
50,000+ MENA FMCG products, vector-embedded in a knowledge graph that resolves misspellings and transliterations. A moat that deepens with every transaction.
Statistical calibration to represent the full market
Four-dimension iterative proportional fitting for MENA demographics: 68/32 Saudi-Expat split, 40% traditional trade share. No Western weighting system was designed to handle this.
Dashboard-ready insight, delivered in 72 hours
40 analytical engines encoding a decade of FMCG measurement methodology. Not dashboards. Methodology, compiled into software.
Due diligence that sees the full picture.
Validate portfolio company claims with real purchase data across all channels, not just the 65% visible to legacy panels.
Know your real position in market.
Track market share, penetration, and brand switching with 72-hour freshness. No more waiting half a year for outdated numbers.
Self-serve analytics, no waiting.
Build custom views, slice by demographics, compare brands, and export reports. No consultancy lag, no ticket queue.
Traditional panels pay $5-15 per panelist per month in cash incentives. Costs scale linearly with coverage. PanelX's infrastructure cost is fixed. The marginal cost of each new panelist approaches zero.
$5-15/mo
Every household added to a legacy panel adds a proportional cash payout. At 10,000 households, that is $50K-150K per month in incentives alone, before a single data point reaches a client.
~$0
PanelX's retention architecture runs on behavioral design, not cash transfers. The systems that keep panelists engaged are infrastructure: built once, improved continuously, shared across every participant.
2x = 40%
Every additional panelist tightens precision. More granular geographic coverage. Smaller margins of error on the numbers that drive $200M acquisition decisions. When scale is cheap, precision becomes a choice.
The biggest problem in panel research is not recruiting panelists. It is keeping them. Industry attrition runs 40-60% annually. PanelX was designed from the ground up to invert that curve.
Traditional panels lose panelists when the novelty of cash incentives fades. PanelX's retention architecture is built on five proprietary behavioral systems grounded in identity-based motivation. Participation becomes a habit, not a transaction.
The industry benchmark: 40-60% churn within 12 months. PanelX targets retention rates three times the standard. Longer tenures mean richer longitudinal data and lower recruitment costs compounding over time.
This is not a feel-good metric. Panelists who stay longer capture more consistently. Fewer gaps. Lower recall bias. More complete channel coverage. The connection between retention and data quality is direct.
Same starting panel. Different architecture. The gap compounds every month.
Request a pilot, see live data from 50+ FMCG categories, and understand why the gap matters for your next decision.