{% if sections.response_summary is defined and sections.response_summary.chart is defined and sections.response_summary.chart.images is defined %} {% set images_response = sections.response_summary.chart.images.response_curve %} {% set images_marginal_roi = sections.response_summary.chart.images.marginal_roi %} {% set data = sections.response_summary.data %}

📈 〜 Response Curve and Metrics

The response curve and metrics section provides a comprehensive overview of how each feature in your dataset responds to changes in spend. For each feature, you'll find key metrics such as current spend, average spend, RoI, saturation point, efficiency ratio, and status. Additionally, visualizations of the response curve and marginal RoI are included to help you understand the effectiveness of your investments and identify opportunities for optimization.

Note: This is not a business recommendation but rather an analytical tool to guide your decision-making process.

{% for feature, img in images_response|dictsort %} {% set metrics = data[feature].metrics %} {% endfor %}
Feature Metrics Response Curve Marginal RoI
{{ feature }} {% if metrics is defined %}

Current Spend: {{ "%.0f"|format(metrics.current_spend) if metrics.current_spend is number else metrics.current_spend }}

Average Spend: {{ "%.0f"|format(metrics.average_spend) if metrics.average_spend is number else metrics.average_spend }}

RoI: {{ "%.2f"|format(metrics.roi) if metrics.roi is number else metrics.roi }}

Saturation Point: {{ "%.2f"|format(metrics.saturation_point) if metrics.saturation_point is number else metrics.saturation_point }}

Efficiency Ratio: {{ "%.2f"|format(metrics.efficiency_ratio) if metrics.efficiency_ratio is number else metrics.efficiency_ratio }}

Status: {{ metrics.status }}

{% else %} - {% endif %} 		{% if img %} Response curve for {{ feature }} {% else %} - {% endif %} {% if images_marginal_roi[feature] %} Marginal RoI for {{ feature }} {% else %} - {% endif %}
{% endif %}