Hyllo

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Software Status:Active

Free trial

Web

No. 532, Udyog Vihar Phase V, Sector 19, Gurugram, Haryana, India

Email · Phone

All Countries

About Hyllo

Hyllo is a predictive marketing intelligence platform that bridges online and offline data to measure marketing ROI. It provides offline conversion tracking, audience segmentation, and predictive analytics to help marketing teams optimize ad spend and understand real-world customer behavior.

Hyllo Details

Vendor

Hyllo

Year Launched

Location

No. 532, Udyog Vihar Phase V, Sector 19, Gurugram, Haryana, India

Deployment

cloud, web browser

Training Options

demo

Countries Served

All Countries

Languages

English, Spanish, French, German, Italian, Portuguese, Russian, Japanese, Chinese

Users

Marketing managers, CMOs, Digital marketers, Data analysts

Industries Served

Healthcare, Education, Finance, Retail, Manufacturing

Hyllo's In-App Market Place

Does Hyllo have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

Mini Apps

1. Time Series Forecasting Add-On: This add-on allows users to forecast future values based on historical time series data

helping businesses make informed decisions and plan for the future.

2. Anomaly Detection Plugin: This plugin identifies outliers or anomalies in the data

helping users detect unusual patterns and take corrective actions as needed.

3. Predictive Maintenance App: This mini-app predicts when equipment or machinery is likely to fail

allowing businesses to schedule preventative maintenance and avoid unexpected downtime.

4. Customer Segmentation Add-On: This add-on segments customers based on their behavior and preferences

helping businesses tailor marketing strategies and improve customer satisfaction.

5. Sales Forecasting Plugin: This plugin helps businesses predict future sales volumes

enabling better inventory management and resource planning.

Pricing Options

Free trial

Free version

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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD ($), CAD ($), CHF (Fr), CNY (¥), SEK (kr), MXN ($), INR (₹), BRL (R$)

Pros & Cons

Provides clear visibility into how online ad spend translates to offline sales.
Uses machine learning to predict future campaign performance and audience behavior.
Offers granular audience segmentation based on combined online and offline data.
Supports cross-channel and cross-device data correlation.
Includes an API for flexible integration into existing marketing stacks.

Requires a learning curve to effectively interpret and act on predictive analytics data.
Relies on the availability of sufficient offline data points to generate accurate predictive models.
Pricing details are not transparently published, requiring contact with sales for enterprise-level information.