Optimizing CRM data for high-performance business
The reliability of data within customer relationship management (CRM) systems is an essential pillar for the development and success of companies.
This article aims to provide you with concrete methods for optimizing and making your CRM data more reliable, based on dataenso's advanced solutions.
Online payment security: 6 best practices for e-tailers
Decidedly, the pandemic parenthesis has definitively anchored e-commerce in the daily lives of the French. In 2022, they spent more than €147 billion online, a growth rate of 13.8% in a complicated economic climate (Fevad). In detail, each French person makes an average of 54 online purchases per year, for an average shopping basket of €54.
And companies are getting in on the act too, with B2B buyers now more inclined to buy online than ever before.
[Data x Black Friday special]: e-tailers, 3 ultimate tips for targeting to generate mass sales!
Black Friday represents almost 750 million euros in cumulative sales in France, with an increase in sales of more than 127% compared to the average for October, the month that generally precedes Black Friday offers.
Do you run an e-commerce business and want to take advantage of this eagerly awaited period to end the year on a high note? Here are 3 ULTIMATE tips to help you do just that.
1 Refined segmentation for hyper
Verifying contact data: a key success factor in sales prospecting
In sales operations, the verification of contact data is often relegated to the background, if not completely forgotten. As a result, prospecting and nurturing efforts are impacted by inaccurate or obsolete contact data, with significant economic and reputational implications (returned parcels, risk of spamming prospects, poor campaign deliverability, etc.).
In this article, Data Enso
Contact form: 13 tips to turn this "necessary evil" into a conversion catalyst
In November 1993, David Raggett, researcher at Hewlett-Packard Labs and pioneer of the HTML language, laid the foundations of the digital contact form. Curiously, the forms found on today's websites are not very different from the original, apart from the smoother shape of the send button and perhaps better field type management.
In this practical guide, Data Enso takes a look at the advantages and disadvantages of the original version.
How can the right Data inform decision-making?
According to Gartner, poor-quality Data costs companies $12.9 million every year... a hidden cost that will continue to grow as companies continue their transition from an intuition-based decision-making model to a 100% data-driven process. How can you make the transition and turn your data capital into a decisive competitive advantage?
Poor-quality data: cascading consequences on decision-making processes and operating costs
Study: 61% of marketers don't have the data they need to feed their tools
Despite the explosion of data to be collected, marketers are still struggling to feed their MarTech tools with reliable data.
Technology stack: the causes of marketers' trial and error...
Today, nearly 30% of marketing budgets are dedicated to MarTech, with solutions designed to accelerate (or automate) the execution of certain redundant tasks and/or streamline decision-making by favoring the exploitation of data over intuition.
With sales of just over $245 billion, the MarTech market reflects the unbridled digitalization of marketing. According to a study by Emergen Research, sales in this sector are set to increase 27-fold by 2030. There are several reasons for this dithyrambic performance
Data Quality Glossary: the terms you need to know to master your subject
In this glossary, Data Enso takes a look at the terms you need to master to get started on your Data Quality project this autumn!
5 golden rules for successful SMS campaigns
Contrary to popular belief, the hegemony of instant messaging applications has not relegated SMS to the sidelines. For businesses, this channel is doing more than just holding its own: it's establishing itself as a first-rate marketing lever.
The golden rules for Data Quality to boost overall performance
The massive digitization of economic activity has multiplied the volume of data to be collected, processed and exploited to streamline decision-making.