Frequently Asked Questions

We believe in full transparency. Our dashboards and reports are designed to show the complete picture—highlighting strengths, weaknesses, opportunities, and areas for improvement. We don’t sugarcoat or mask inefficiencies; instead, we uncover and resolve them.

Unlike generic automated tools, our services are tailored to your unique needs. We dive deeper into your data, providing custom dashboards, detailed reports, and actionable recommendations that go beyond surface-level metrics.

We analyze campaign data to identify high-performing creative elements, provide media planning recommendations, and offer competitive benchmarks to position your campaigns for success. Our insights are tailored to amplify your creative strategies with data-driven precision.

Absolutely! Our in-depth reports and real-time dashboards showcase the direct impact of your campaigns, providing clear metrics such as CTR, ROI, and audience engagement to impress your clients.

We analyze performance across platforms like Google Ads, Facebook, and LinkedIn, identifying what works best for your audience. Our recommendations include budget allocation, keyword targeting, and tactic optimization to maximize ROI.

Yes! We provide monthly performance reviews, real-time adjustments, and proactive recommendations to keep your campaigns on track and continuously improving.

We provide persona discovery, market insights, and comprehensive reports that strengthen your recommendations. By integrating advanced analytics into your strategy, we help you deliver deeper, more actionable insights to your clients.

Yes! We can customize our solutions and reports to align with your brand, ensuring a seamless experience for your clients.

We use advanced tools and techniques to consolidate data from platforms like Google Analytics, CRMs, and ad platforms into a single, interactive dashboard. This unified view makes it easier to track performance and identify trends.

Yes! Our predictive modeling and machine learning techniques allow us to forecast key metrics like ROI, conversion rates, and audience behavior, giving you a strategic advantage.

Our Deep Briefing & Strategy service includes persona discovery, market audience validation, platform and tactic recommendations, a customized media plan, and optional monthly campaign monitoring and optimization.

Our dashboards are fully customized, real-time, and designed to support strategic decision-making. They don’t just show numbers—they uncover insights and highlight actionable next steps.

Absolutely! We provide detailed walkthroughs and ongoing support to ensure your team is confident in using our tools and insights.

It’s easy! Just contact us or schedule a consultation to discuss your goals. We’ll create a tailored proposal and start building solutions that align with your needs.

Yes! We offer demos of our dashboards and reports, showcasing the depth and functionality of our solutions.

We analyze KPIs like average CTR, CPC, or conversion rates using measures like mean, median, and mode. This helps identify benchmarks and understand typical campaign performance, ensuring decisions are based on realistic expectations.

Dispersion metrics like variance and standard deviation highlight inconsistencies in campaign performance. For example, if CPC varies widely across ad groups, we identify and standardize costs to optimize budget allocation.

Correlation analysis uncovers relationships between KPIs, such as the impact of impressions on conversions or ad spend on ROI. These insights allow us to identify which factors drive performance and where to focus optimization efforts.

Many KPIs follow a normal distribution, allowing us to predict campaign outcomes and set realistic performance goals. This also helps in benchmarking against industry standards or past performance.

We use hypothesis testing to validate changes in campaign elements. For example, if a new creative design is expected to improve CTR, we test the hypothesis with statistical confidence before scaling the change.

Analyzing distributions of KPIs like audience engagement or conversion rates helps identify segments with the highest potential. This allows for targeted campaigns that resonate with specific audience groups.

Bayes Theorem allows us to update predictions based on new data. For instance, we use it to refine audience targeting by incorporating real-time campaign performance into prior assumptions about customer behavior.

These models compare multiple groups, such as different ad types or audience segments. For example, we use ANOVA to determine if video ads perform significantly better than image ads across key KPIs.

Sampling allows us to analyze subsets of data when full datasets are too large to process quickly. This ensures timely insights without compromising accuracy, especially for ongoing campaign optimizations.

When data doesn’t meet traditional assumptions (e.g., non-normal distribution), non-parametric tests like the Wilcoxon rank-sum test ensure robust analysis. This is particularly useful for small or skewed datasets.

Permutation tests validate the significance of changes in metrics, such as whether a 5% increase in CTR is statistically meaningful or due to random variation. This ensures confident decision-making.

Confidence intervals provide a range where we expect a metric (e.g., ROI) to fall, while credible intervals account for prior knowledge and data uncertainty. Both guide goal-setting and risk assessment.

Regression models reveal relationships between variables, such as how ad spend impacts conversions. We use this to predict outcomes and identify the most effective budget allocation strategies.

For KPIs that are skewed (e.g., revenue data), we apply transformations or non-parametric methods to ensure accurate analysis and actionable insights.

Maximum Likelihood Estimation helps optimize predictive models by identifying the best parameters to fit your data. This ensures our forecasts and recommendations are as accurate as possible.

Identifying Patterns: Models like correlation and regression uncover trends and relationships within your data. Validating Changes: Hypothesis testing and ANOVA confirm whether optimizations improve campaign performance. Improving Accuracy: Techniques like Bayes Theorem and Maximum Likelihood ensure reliable predictions and recommendations. Custom Segmentation: Distributions and sampling enable precise targeting for better ROI.