Articles

Tired of manually cleaning, classifying, and enriching data Spreadsheets? SheetTransformAI offers a powerful solution, leveraging the capabilities of AI (specifically OpenAI) to automate these tasks at scale. This isn't just about individual cell formulas; SheetTransformAI is designed for batch processing, enabling you to transform large datasets with minimal effort. SheetTransformAI provides a streamlined model for applying AI prompts to your spreadsheet data, generating new columns with the results.

Building a digital brand that resonates with customers is not just about getting clicks and website visits. It’s about converting those interactions into long-term loyalty. Creating a memorable and trustworthy brand requires a deeper connection - one that taps into both emotional and logical triggers. In this article, I want to explore how brand equity, digital experience platforms (DXPs), and emerging technologies like AI and automation come together to create a seamless customer journey, driving value and growth for businesses.

Discover how AI customer segmentation can enhance your marketing campaigns by automating data cleanup and improving targeting precision. Learn how AI streamlines the segmentation process for better results

Tired of manually creating social media posts every time you publish new content? Learn how we leveraged no-code tools and Drupal to auto-generate engaging images and social media posts, saving time and boosting engagement. Read more to discover this powerful automation solution!

This article reveals how we tackled the daunting task of creating social media content for a large event with over 100 sessions. By leveraging the power of Generative AI and no-code tools, we automated the entire process, from content and image generation to scheduling and publishing. Discover how we achieved efficiency and freed up time for strategic marketing efforts.

Leveraging GenAI, we built an internal app in days that would have otherwise taken weeks, streamlining knowledge management and empowering our engineers. Read the full case study, including the initial prompt, in this article.

The clock is ticking! Google Universal Analytics (UA) is shutting down completely in July 2024, and if you haven't archived your valuable historical data, now is the time to act. We're excited to announce Version 2.0.0 of our Google Universal Analytics Data Archiving script, designed to help you secure your UA data before it's gone forever.

Unlock growth by bridging the gap between marketing vs. sales. Align teams, share data, and set common goals to boost leads, increase conversions, and drive success.

Prepare for Drupal 11! Learn what website owners need to know about the Drupal 11 release date, key features, and why upgrading to Drupal 11 is crucial for your site.

Discover 6 powerful AI video creation tools that feature diverse, realistic avatars to enhance your content, streamline production, and boost audience engagement.

Your website is a powerful tool for reaching potential customers, but are you maximizing its impact? A significant portion of website traffic remains anonymous – interested visitors who leave without sharing their information. This represents a missed opportunity. This article talks about how you can leverage the power of personalization to make an impact.

This article explores effective ways to build audience loyalty, secure new revenue streams, and future-proof your media business. Discover how to capitalize on the dynamic digital landscape and position your media company for ongoing success.

Google Universal Analytics (UA) is scheduled for full shutdown on July 1st, 2024. Google recommends exporting your data directly from the UA interface or, for UA 360 customers, via BigQuery export. However, the UA interface limits downloads to 5,000 records at a time, making comprehensive backups tedious for websites with larger traffic volumes. This article explore 3 free tools that can be used to automate the backup of your UA Reports.

Google Analytics is sending out reminders about the complete shutdown of Universal Analytics (UA) services and APIs on July 1st, 2024. Many organizations have migrated to GA4 or GA4 alternatives like Matomo, Plausible Analytics, or SEAL Metrics. But what about your historical UA data? Google's only suggestion is to manually export reports – a daunting task for websites with 10-15 years of data. There's no Takeout option.

Discover the secrets to effective cold email outreach in our comprehensive guide. Learn how to build a scalable, data-driven workflow that maximizes your success. Streamline your campaigns with expert insights and strategies.

Explore the latest March 2024 algorithm update from Google and understand its implications on search rankings. Discover who's affected by these changes and uncover actionable steps to optimize your SEO strategy for success.

Digital channels open up a world of possibilities for small and medium enterprises (SMEs), allowing them to reach wider audiences and better engage with customers. A Composable Digital Business Platform, especially a Composable Digital Experience Platform (DXP), provides the backbone for successful digital transformation. At the heart of a DXP lies a powerful Web Content Management System (WebCMS) that empowers you to create compelling content, seamlessly integrate tools, and deliver engaging experiences across all channels. Here are the essential attributes to consider when choosing your DXP's WebCMS foundation

Digital transformation is changing the way we buy, and businesses that don't adapt will be left behind. Across industries, companies of all sizes are recognizing the transformative potential of technology in streamlining operations, unlocking valuable data insights, and crafting personalized customer experiences, making digital transformation a competitive imperative.

Artificial Intelligence (AI) is transforming industries, offering a wealth of opportunities to enhance operations, customer experiences, and innovation. However, fully leveraging AI's potential poses challenges, particularly for businesses entangled in a web of independent SaaS and digital systems. These specialized tools, while valuable in their own right, often create data silos and hinder seamless integration. This fragmented landscape poses significant hurdles for businesses seeking to leverage data and AI effectively. Budgetary constraints, limited resources, and the complexity of integrating disparate tools can leave even the most forward-thinking CTOs facing a daunting climb. This article explores the challenges of data silos and offers strategies to overcome them, allowing businesses to optimize their AI capabilities and drive innovation.