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Data driven marketing

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Zuora. Eight Data Sources You Want to Use. Crede. Crede’s data technology transforms the way you reach and manage your customers by empowering head office, personalizing customer experiences and creating long-term profitable customer relationships.


Our services are industry free and based on only and only analytical data results. Crede provides industry- or function-focused analytical marketing services. We aim to provide full-spectrum service beyond analytical modeling: We participate in the implementation of models and engage in periodical or in-campaign follow-up tuning. We are capable of not only developing predictive models but also deliver end-to-end solutions for our clients. Project phases we can get involved include: Business value definition Data preparation Statistical analysis Conclusive reporting, Business Intelligence interphase and dashboard preparation Crede generates analytical churn prediction models that rank customers by their likeliness to leave the company meaning “churn”.

Sales Forecasting. Photo by: Sean Gladwell Sales forecasts are common and essential tools used for business planning, marketing, and general management decision making.

Sales Forecasting

A sales forecast is a projection of the expected customer demand for products or services at a specific company, for a specific time horizon, and with certain underlying assumptions. A separate but related projection is the market forecast, which is an attempt to gauge the size of the entire market for a certain class of goods or services from all companies serving that market. Sales and market forecasts are often prepared using different methods and for different purposes, but sales forecasts in particular are often dependent at least somewhat on market forecasts. Although the focus of this discussion will be on sales forecasting, a brief summary of market forecasting will help provide context. A special term in studying sales and market forecasts is the word "potential. " Time Series Analysis for Business Forecasting. Realization of the fact that "Time is Money" in business activities, the dynamic decision technologies presented here, have been a necessary tool for applying to a wide range of managerial decisions successfully where time and money are directly related.

Time Series Analysis for Business Forecasting

In making strategic decisions under uncertainty, we all make forecasts. We may not think that we are forecasting, but our choices will be directed by our anticipation of results of our actions or inactions. Indecision and delays are the parents of failure. This site is intended to help managers and administrators do a better job of anticipating, and hence a better job of managing uncertainty, by using effective forecasting and other predictive techniques. To search the site, try Edit | Find in page [Ctrl + f]. One of the most essential elements of being a high-performing manager is the ability to lead effectively one's own life, then to model those leadership skills for employees in the organization.

Why modeling? Time Series Analysis for Business Forecasting. How to Build a Market Forecasting Model. Before your company or small business brings a new product to market, it isn't enough to simply be confident in its success.

How to Build a Market Forecasting Model

Large amounts of research into current market conditions, your consumer base's demographic information and historical market data are needed. While forecasting the growth and sales potential in your market for your product is an uncertain science, these pieces of information can help you get a better idea of what your market forecasting model looks like before your product hits the shelves. Step 1 Know your product demographics. Figuring out just who buys or will buy your product is an essential first step to creating a market forecast model.

Step 2 Use expert forecasts, if available. Related Reading: Profitability Models for Forecasting Step 3. Data-Driven Marketing: The 15 Metrics Everyone in Marketing Should Know - Mark Jeffery - Google Kitaplar. How organizations can deliver significant performance gains through strategic investment in marketing In the new era of tight marketing budgets, no organization can continue to spend on marketing without knowing what's working and what's wasted.

Data-Driven Marketing: The 15 Metrics Everyone in Marketing Should Know - Mark Jeffery - Google Kitaplar English_Transleted Articles/English/Marketing/Marketing-sales interface configurations in B2B firms.pdf. Data Driven B2B Marketing: The Risks of Marketing on a Whim. We’ve learned by now that B2B marketing often involves targeting a market-savvy and knowledgeable audience.

Data Driven B2B Marketing: The Risks of Marketing on a Whim

However, usually the selling business is full of knowledgeable experts as well, and quite often they rely on their experience and instinct to make marketing decisions “on a whim.” While there is no denying that industry experience is a powerful resource, B2B companies that rely on instinct rather than data run the risk of generating ineffective or even damaging, marketing strategies and campaigns. Remember the difference between B2B and B2C consumer buying habits. Do B2B consumers generally make purchases on a whim? The Analytic Organization: 4 Steps to A Data-Driven Marketing Culture. The Analytic Organization: 4 Steps to A Data-Driven Marketing Culture November 7, 2014 - By Amy Abascal Making marketing more data-driven seems to be the “it” topic these days.

The Analytic Organization: 4 Steps to A Data-Driven Marketing Culture

Only recently have marketers had tools available to quantify our efforts. Used correctly, data helps us tighten conversion rates, shorten sales cycles, defend our budgets and ultimately drive more revenue. On the other hand, collecting too much data can cause us to drown in a sea of spreadsheets. It means those metrics should roll up to business goals, support strategies with measurable outcomes, be actionable and be based around trusted sources and definitions. In this post, we’ll provide four steps towards creating a data-driven marketing culture. 1. It seems obvious, but every single metric you track should tie directly to a tangible business goal. believes that education is critically important to understanding and supporting Data-Driven Marketing.

From the executive who makes the strategic decisions and controls the budget, to marketing and sales management, to those responsible for the execution of marketing and sales tactics, all should have a good level of knowledge of the processes required and the benefits obtained from Data-Driven Marketing. We offer the following educational opportunities for both the industry-at-large and clients: