Ensure forecasting accuracy with Predicted Impact Patterns

Some events can impact local businesses before they begin and after they end, making the impact harder to track. Use PredictHQ Predicted Impact Patterns to better understand how your business is impacted by events before, during, and after they take place.
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What are Predicted Impact Patterns?

Anticipate how events will shape consumer behavior

Predicted Impact Patterns help you better anticipate and plan for fluctuations in demand associated with various event types by flagging 'leading' and 'lagging' days, which are the days before and after an event occurs.

For our attendance-based categories, the feature extends and adjusts an event's attendance across these leading and lagging days – so you can easily visualize the realistic ramp-up in attendance to the actual event, and a gradual tapering off once the event concludes. We do the same with our severe weather category, it just isn't based on attendance.

Learn more in our docs
Boost forecasting accuracy

Improve your demand forecasting models

Leverage Predicted Impact Patterns to prepare your business for the influx of attendees before they even arrive in town – and after the event, you can adjust your strategies to sustain the increased demand.

Our tests using real industry data have shown that integrating Predicted Impact Patterns into forecasting models results in a notable increase in accuracy. For example, accommodation businesses have seen a 2.2% absolute improvement in MAPE (Mean Absolute Percentage Error) compared to forecasts without Predicted Impact Patterns.

View technical documentation
API Response
"impact_patterns": [
    {
        "vertical": "accommodation",
        "impact_type": "phq_attendance",
        "impacts": [
            {"date_local": "2018-02-26", "value": 14250, "position": "leading"},
            {"date_local": "2018-02-27", "value": 14250, "position": "leading"},
            {"date_local": "2018-02-28", "value": 85500, "position": "leading"},
            {"date_local": "2018-03-01", "value": 95000, "position": "event_day"},
            {"date_local": "2018-03-02", "value": 95000, "position": "event_day"},
            {"date_local": "2018-03-03", "value": 95000, "position": "event_day"},
            {"date_local": "2018-03-04", "value": 95000, "position": "event_day"},
            {"date_local": "2018-03-05", "value": 33250, "position": "lagging"},
            {"date_local": "2018-03-06", "value": 4750, "position": "lagging"}
        ]
    }
]
Accurately predict demand

Predicted Impact Patterns available across many event categories

PredictHQ Predicted Impact Patterns accurately predict how different event categories impact local businesses before they even start and after they end.

The feature predicts how accommodation, retail, and hospitality (food and beverage) demand will be impacted by the following event categories:

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