NFT Pricing Strategy

Let Mezen simplify the details of NFT pricing for you, paving the way to confident and informed decision-making

Dive into the world of NFT Pricing Strategy effortlessly with Mezen. Say goodbye to guesswork as we refine your model, ensuring a logical pricing strategy. Our data-driven approach accurately values NFTs, propelling them to new digital heights.

Our expert team equips you with tools for informed decision-making, keeping your steps ahead. Recognizing the importance of liquidity, we integrate this critical factor for precision in pricing. Stay confidently ahead of market shifts, adapting swiftly with calculated discounts for liquidation events.

From uncertainty to сonfident evaluation

Precision in NFT pricing

Overcome complexities of model evaluation and achieve logical pricing strategies.

Mezen's solutions

Navigate challenges like NFT valuation methodologies and correlation complexities with our data-driven approach.

Comprehensive results

Receive reports on optimal pricing, discounting approaches, and macroeconomic impact assessment for strategic decision-making.

Challenges and solutions

Challenge 1: Complexity of model evaluation

Integrating baseline model results and existing model performance metrics for effective comparison could be challenging for many companies.

Solution: Mezen's approach to model evaluation for informed decision-making

Our team will meticulously construct a baseline model and evaluate quality metrics, ensuring a comprehensive comparison with the existing model. A detailed report will be provided to showcase the strengths and weaknesses of each approach.

Challenge 2: Complexity with methodologies for NFT valuation

Many companies find it challenging to identify relevant methodologies for NFT valuation from classic models.

Solution: Decode NFT value with Mezen's methodologies

Through an in-depth analysis of illiquid asset pricing and LTV ratios, we will adapt proven methodologies for NFT valuation. Insights from current market models will be extracted, forming the basis for enhancing our approach.

Challenge 3: Complexity of establishing the ideal correlation between NFT prices and parameter groups

In the ever-evolving landscape of NFTs, one of the intricate challenges faced by companies revolves around determining the optimal relationship between NFT prices and parameter groups.

Solution: Apply Mezen's data-driven approach

Our team will collect and process data on parameter groups and liquid NFT collections, establishing correlations to select the optimal form of the relationship. This data-driven approach ensures precision in determining the NFT selling price.

Challenge 4: Designing tailored liquidation scenarios for diverse platform characteristics

Navigating the complexities of financial management and optimizing assets pose a significant challenge for businesses. Specifically, crafting customized liquidation plans that fit seamlessly with the unique features of various platforms is no easy feat.

Solution: Mezen's tailored resolutions for efficient asset optimization

Thorough investigation of various liquidation approaches will enable us to design bespoke scenarios tailored to your platform, NFT portfolio, and borrower risk profiles. Best practices and recommendations will be delivered for transparent and efficient execution.

Challenge 5: Difficulties with the discounting approach

Entering the world of financial strategies faces a notable challenge figuring out how to design a discounting approach that considers low liquidity.

Solution: Implementation of a binary choice model

Our team will implement a binary choice model, training it to optimize weights for each parameter. This model will calculate discounts for less liquid NFTs, ensuring a well-informed discounting approach. Results will be presented in a comprehensive report.

Challenge 6: Lack of understanding in hypothesis testing

Testing hypotheses for causality involving complex macroeconomic factors can be a challenging task.

Solution: Clarity through testing with Mezen's methodical approach

Leveraging regression models with control variables, we will test hypotheses H1-H5. A detailed report will justify the chosen methodology, providing correlation values and results for testing hypotheses at both correlational and causal levels.

Contact our team and we will help you with your challenges

Our approach

Phase 1: Current model assessment (week 1)


Stream 1:  Comparison of the existing and baseline models

Report on the stages of building the baseline model, table of quality metrics.


Stream 2: Analysis of existing evaluation models

Table of quality metrics, report on the analysis of existing NFT evaluation models, result of the statistical test on the predictive power of the existing model.

Phase 2: Selection of the optimal NFT selling price (weeks 2-3)


Stream 1:  Evaluation of dependency of NFT price from market behavior

Construction of a matrix of relationships between NFT prices and P1-P4 parameter groups, testing the hypothesis of the significance level of each parameter for predicting NFT prices.


Stream 2: Liquidation scenarios design

Report on tailored liquidation approaches, best practices, and recommendations for efficiently selling collateral assets during liquidation events.

Phase 3: Developing discounting approach (weeks 4-5)


Stream 1:  Model verification and discounting approach design

Report on optimal liquid NFT pricing methodology, model performance metrics, and table with less liquid NFT optimal price breakdown (base price + discount).

Phase 4: Assessment of macro impact (Optional) (week 6)


Stream 1:  Testing hypotheses H1-H5 using correlations

Table of correlation values for hypotheses H1-H5.


Stream 2: Testing hypotheses H1-H5 for causality

Results table for hypotheses H1-H5 testing relationships at correlational and causal levels, with a report justifying the methodology's suitability for assessing causal relationships.

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