🎉New Marketing Activations Dashboard

The new Marketing Impact dashboard is designed to give you more control, precision, and flexibility in managing your campaigns.

This release allows you to refine your analysis with advanced filtering options and the ability to create personalized views, saving you time while increasing the accuracy of your insights.

Whether you're managing a single product or an entire portfolio, this redesign helps you zero in on what truly drives your performance so that you can optimize your marketing strategies with confidence.

Key Features and Why They Matter

⏳ Advanced Campaign Filtering

The new filtering capabilities enable you to narrow down your reporting and focus only on the most relevant campaigns. You can analyze performance based on specific products, brands, categories, or mediums, making your reports more actionable and insightful. Below are the specific options within the advanced filtering group:

  • Product-Specific Filtering
    This filter allows you to focus exclusively on campaigns promoting particular products. If you're running a campaign for a specific product and want to measure its individual performance, this option helps you isolate that data.

    Why use it?
    By filtering out unrelated products, you can get a clear picture of how well a specific item is performing, helping you identify successful strategies or areas for improvement.

  • Brand-Specific Filtering
    This filter lets you drill down into campaigns promoting individual brands. Whether you manage multiple brands or want to compare brand-specific campaigns, this feature gives you the precision you need.

    Why use it?
    It allows brand managers to track the success of specific marketing initiatives, ensuring that each brand’s strategy is performing effectively and contributing to overall goals.

  • Category-Based Filtering
    If your campaigns promote products from specific categories (e.g., electronics, clothing, etc.), this filter lets you isolate campaigns related to particular product categories.

    Why use it?
    Category managers can leverage this feature to monitor trends and performance within specific sectors, providing insights into how certain categories are resonating with the market.

  • Medium-Based Filtering Filter your campaign results based on the type of media used—such as banners or sponsored products. This allows you to analyze how different media channels are contributing to the performance of your campaigns.

    Why use it?
    By isolating performance based on the campaign's medium, you can better allocate resources to the channels that are delivering the best results, improving ROI across your marketing mix.

📆Ability to narrow down periods

The new date range picker lets you focus your analysis on campaigns that were active during a specific timeframe. Whether you're looking at the last week, last month, or a custom range, this feature ensures your data aligns with your reporting needs.

Why use it?

It simplifies the process of tracking and comparing campaign performance across different time periods, helping you make decisions based on up-to-date and relevant data.

📧Export topline campaign performance

You can now export the topline results of your campaigns and receive them directly via email. This is a fast and easy way to share important metrics with your team or other stakeholders.

Why use it?
Save time and improve collaboration by generating reports on demand and sharing them quickly, without needing to manually pull data each time.

👁‍🗨Customizable views

The ability to create and save your custom view lets you tailor your dashboard to display only the metrics that matter most to you. Once set, your custom views are saved for future access, ensuring you can quickly jump into the data that aligns with your priorities.

Why use it?
Customized views help reduce the noise of irrelevant data, making it easier for you to focus on your key performance indicators (KPIs). This feature is especially useful for team members who have distinct goals and need a personalized data experience.