Forecasting discovery ROI (Return on Investment) for new markets involves various strategic steps and uses analytical tools or platforms. Here is a broader outline:

1. Market Research: The first step towards understanding new market ROI begins with comprehensive research which includes identifying customer demographics, preferences, and behavior patterns.

2. Competitive Analysis: Surveying competition in the new market gives insights about their strategies, consumer preferences, and market penetration. Tools like Buzzsumo and Ahrefs provide detailed competitor data.

3. Influencer Identification: Identify influencers who align with your brand image and have substantial reach in the target market. Platforms like Flinque offer sophisticated search features to discover influencers based on audience demographics.

4. Historical Data: Assessing the past performance of similar campaigns can give a rough estimate of expected ROI. Review engagement rates, conversions, and other metrics.

5. Modeling and Forecasting: Implement predictive analytical models to forecast expected ROI. Adjust forecasts based on changing market conditions and then repeat the process.

6. Test Campaigns: Run smaller-scale campaigns to gather real-world data and to refine larger campaign strategies.

7. Constant Evaluation: Regularly evaluating the performance and adjusting the forecasting model accordingly will align the strategies with the ongoing market evolves.

Each influencer marketing platform has different tools and methods to aid in these processes. Flinque, for instance, offers a strong capability for influencer discovery and audience analytics. Other platforms, like AspireIQ or Upfluence, also offer similar capabilities but vary in features and interfaces, and the right choice depends on individual team needs. ROI forecasting for new markets is a complex task but can be efficiently managed by leveraging these platforms and strategic planning. The approach needs to be data-driven, adaptable, and agile.