Media Demand Allergy

Real results from real-time illness data

See how leading brands and retailers use Kinsa Insights to drive media performance, improve demand forecasting, and reach consumers at the moment of need.

$3.25

Campaign ROAS

48%

Forecast Error Reduction

.93

Sales Correlation

16%

CTR Improvement

Demand ForecastingMucinex / Reckitt Health

Mucinex doubles retailer demand forecast accuracy with Kinsa's illness solution

The Challenge

COVID-19 made seasonal illness timing unpredictable. Symptom-relieving medications like Mucinex saw volatile sales, making it critical to reduce out-of-stocks by improving demand forecasting for a top 3 national retailer.

The Solution

Kinsa deployed its Illness Based Sales Demand Solution, leveraging a proprietary 12-week cough, cold and flu forecast to accurately predict Mucinex product demand, reducing the retailer's forecasting error by 48%.

"Our partnership with Kinsa helps us understand where, when and how much demand there will be for our products, allowing us to better collaborate with our retail partners."
Brian Nussbaum, Planning Director, Reckitt Health

Key Highlights

Proprietary 12-week illness forecast
Reduced Mucinex out-of-stocks at shelf
Outperformed retailer's traditional data set
Optimized supply chain during unprecedented season

Download Full Case StudyPDF · Mucinex Demand Forecast Case Study View Interactive Case StudyFull page with live illness map

48%

Reduction in forecasting error

$2M+

Additional product demand identified

Media TargetingClorox

Clorox activates real-time illness signals to drive disinfecting product sales during peak sick seasons

The Challenge

Cold and flu seasons are unpredictable in timing and geography. Clorox needed a way to activate media campaigns for disinfecting products precisely when and where illness was spiking, not weeks after the fact using lagged healthcare data.

The Solution

Clorox partnered with Kinsa to leverage real-time illness signals and trigger programmatic media in DMAs experiencing rising illness levels. By aligning campaign activation with actual illness onset, Clorox reached consumers at the exact moment they needed disinfecting products most.

"Kinsa's real-time illness data allows us to be there for consumers exactly when they need us, turning illness signals into action at the speed of programmatic."
Clorox Media Team, The Clorox Company

Key Highlights

Real-time illness signal activation across DMAs
Programmatic media triggered by rising illness levels
Hyper-local targeting at the community level
Campaign pacing aligned to actual illness curves

2.5x

Higher engagement vs. standard targeting

22%

Increase in disinfecting product sales

3.1M

Incremental households reached

Media TargetingMiQ

MiQ uses hyper-local illness data to increase in-store sales for a national drug retailer

The Challenge

Existing illness data used in media targeting is delayed, costly, and limited in geographic accuracy. For retailers targeting ad campaigns to areas of rising illness, this results in inefficient spend and low ROI.

The Solution

Kinsa Insights delivers real-time, hyper-local, aggregated illness data to pinpoint precisely where and when illness is spreading. MiQ leverages this to target retail store locations where community illness is on the rise, updating campaign spend and audience targeting in real-time via API.

Key Highlights

Real-time API integration with MiQ's DSP
Hyper-local targeting at the store level
Campaign spend optimized around illness signals
Benchmarks exceeded across all categories

Download Full Case StudyPDF · MiQ Media Targeting Case Study View Interactive Case StudyFull page with live illness map

$3.25

ROAS per $1 spent

8.3%

Sales lift in featured products

7.5%

Sales lift in halo products

Allergy TargetingLeading National Retailer

Leading retailer engages ready-to-buy allergy sufferers with Kinsa's allergy media targeting

The Challenge

The timing and intensity of allergy season varies by year, geography and symptom severity, making it difficult for marketers to accurately predict where and when to target allergy-focused campaigns.

The Solution

The retailer leveraged Kinsa Insights' allergy symptom signal to target consumers where and when they were suffering, regardless of pollen count levels. The allergy signal yielded .93 correlation with allergy product sales.

Key Highlights

Symptom-based targeting vs. pollen count data
DMA-level recommendations for high allergy areas
Data collected at symptom onset, not lagged
All data aggregated and anonymized, with no PII

Download Full Case StudyPDF · Allergy Retailer Case Study View Interactive Case StudyFull page with live illness map

.93

Correlation to allergy product sales

16%

Higher CTR vs non-recommended DMAs

Why Kinsa Insights

The data advantage behind every success story

Accurate

Tells you exactly where and when consumers are suffering from symptoms that matter to you.

Comprehensive

200k+ symptom inputs per day from millions of households across the country.

Earlier

Data collected at symptom onset, not lagged days or weeks like healthcare data.

Compliant

All data is aggregated and anonymized. No personally identifiable information.

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