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FORECASTING

Make decisions today to win tomorrow
GREAT PURPOSES

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
The experience of working with Stratton Analytics was convenient, pleasant and productive. The guys are very well organized and predictable in their actions.
Igor Eros
CMO Amstar Europe LLC
Excellent company. We have been working together for many hours on contextual advertising and SEO optimization. Always aware of all new trends and changes in advertising and SEO promotion.
Vitaliy Piunov
CEO «FRAMED» LLC, medmag.ua
Working with the STRATTON company, we experienced professionalism, attention to detail and prompt execution of tasks. The agency perfectly understands our needs.
Alexander Bartko
СEO TD «Ukrservice», e-ukrservice.com
A reliable and responsible partner promptly reacts to the implementation of all assigned tasks, and also proactively offers ways to improve and optimize our project.
Irina Besarab
Marketer of Komtechservis LLC, ktc.ua
I have been working with this team for 4 years, responsible, competent specialists of their business. I recommend.
Sergey Shugalevich
CEO of Avtolink LLC, boschservice.kiev.ua
In November 2017, cooperation with PPC (contextual advertising) with Stratton Analytic Company began. After 5 months, the conversion rate improved by 2 times.
Oleg Vytryak
CEO of STORGOM LLC, storgom.ua
During the period of cooperation, the advertising budgets were significantly scaled and the return on investment in the business was very satisfied with the results.
Oleg Kostyuk
CEO Dom Tkany, domtkani.com.ua
I have been working with the agency for three years in different channels of attracting traffic, a professional team and positive people. I recommend
Sergey Postoev
CEO of Automod, automod.ua
In the «blue ocean» of Internet marketing, Stratton Analytics has become our reliable navigator.
Eduard Kurganskyi
CMO of the network «Lap-Usyk», korm.com.ua
In June 2018, they started cooperation with PPC, the guys coped with the work for 5+, decided to stay with them for service.
Pavel Kharchenko
CEO of the online store — azvuk.ua
SEO optimization includes many factors, it is difficult to take into account 100% of possible problems, TS from seo specialists covered 99.9% of problems.
Dmitry Bondarenko
SMO network Dom igurshek — bi.ua
Timeliness, focus on business tasks, systematicity and flexibility are important qualities for us when choosing a partner, and Stratton covers each of them.
Alexey Byalosh
SMO Fgt-exim, brand — Lauron
Contact the technical team if you need it:
Expand your
digital traffic channels Increase your
online sales growth Scale your
digital business faster Lower your
cost per conversion Boost your Google
search rankings Maximize your
return on investment Reach a high-converting 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%.

10 years Еxperience in
various industries
+ 500 Successfully
completed projects
$ 18 M Revenue
in management
367 % Average ROAS
by customer for 2024
Contact a specialist to discuss your business needs
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