Forecasting

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Forecasting

BENEFITS

Management

Predictive analytics helps to predict demand for goods and services based on seasonality, market trends, and historical business analytics data

Personalization

Based on the analysis of behavioral factors and actual customer purchases, predictive analytics generates personalized offers for the target audience

Distribution

Forecasts allow to accurately distribute the advertising budget between channels and determine which campaigns will bring the maximum return

Planning

Predictive analytics allows to plan sales in advance and avoid unforeseen losses. This is especially important during periods of seasonal spikes

METHODOLOGY

01 We collect data from various sources: CRM, advertising platforms (Google Ads, Facebook Ads), web analytics

02 We clean the collected data from duplicates, errors, and anomalies. Convert it into a convenient format

03 Determine and approve with the client the performance indicators that will be strategically forecasted

04 We develop and integrate mathematical models for detailed forecasting with minimal deviations

05 We test models on a part of historical data and compare forecasts with real indicators to draw conclusions

06 We visualize and provide forecasts in the form of graphs and tables with key performance indicators

07 We use forecasts to plan marketing campaigns and effectively allocate marketing budgets

TOOLS

+25% Increases CTR
of advertisements

Keyword Planner

A tool that helps to select keywords. It provides data on the popularity of queries, the level of competition, and the cost per click (CPC), which allows you to effectively plan advertising campaigns and content marketing strategies

+18% Increases
website conversion

Google BigQuery

A cloud platform for analyzing big data. It enables e-commerce businesses to collect and analyze huge amounts of data in real time and build predictive models to improve results. Works on the principles of SQL and built-in machine learning

+25% Increases
planning accuracy

IBM SPSS

A powerful tool for statistical analysis and forecasting. It is used to process large amounts of data and create models based on historical information that predicts consumer behavior. It simplifies complex data tasks and forecasts market trends

We conducted an audit, optimized existing advertising campaigns, and created new ones. The experience of working with Stratton Analytics was convenient, pleasant and effective. The guys are very well organized and predictable in their actions.

Igor Eros

CMO Amstar Europe LLC

This is a great company. We have been cooperating for several years on contextual advertising and SEO optimization. Always aware of all the new trends and changes in advertising and SEO promotion.

Vitaliy Piunov

Founder of FRAMED LLC, medmag.ua

Contact the technical team if you need it:

Grow your traffic channels Increase sales on your website Effective business scaling Surpass your competitors Build brand trust and loyalty Reduce the cost per conversion Significantly increase ROI Successful marketing funnel New conversion audience

GROWTH
HACKING

FAQ's

What is predictive analytics and how can it help my e-commerce business?

Predictive analytics uses historical data and machine learning algorithms to predict future events, such as sales, customer behavior, or product demand. In e-commerce, it helps to optimize inventory, improve advertising campaigns, and personalize offers for customers. Businesses that have implemented predictive analytics increase conversions by 10-20% and reduce operating costs by 15-25%.

What data is needed for predictive analytics?

To make accurate forecasts, we collect data from various sources:

Historical data on sales and traffic
CRM data on customer behavior and purchasing activity
Marketing metrics: advertising costs, conversions, ROI
External factors: seasonality, promotions, discounts

The more quality data you have, the more accurate your forecasts will be and the more effective your decisions will be.

How soon can we see the results of implementing predictive analytics?

The first forecasts and conclusions can be obtained within 2-4 weeks after data collection and setup. It may take 1-3 months to adjust the models and optimize business processes. Systematic monitoring and updating of forecasts can improve their accuracy and achieve maximum results within 6 months.

How does predictive analytics reduce risks and increase profits?

Predictive analytics helps to anticipate demand fluctuations in advance and plan inventory, which reduces the risk of shortages or overstocks. Personalization of offers increases customer loyalty and increases customer lifetime value (LTV). Also, optimizing advertising campaigns based on forecasts reduces costs by 10-15% and increases ROI by 15-25%.

9 years Experience in various market niches

+ 850 Successfully  completed projects

$ 250 M Revenue in management

227 % Average ROAS by customer for 2024

Contact a specialist to discuss your business needs

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