The Pecan Blog

Learn about customer winback and how it benefits your business.

Discover the top 8 data cleansing software picks for 2023, including their features, pros, cons, and pricing. Plus, we provide tips on how to choose the best software for you.

Find out how to analyze structured and unstructured data to predict customer behavior and get ahead of the game.

Discover the top 7 AI marketing platforms for optimizing marketing and improving CX. Find the perfect AI marketing platform for your business.

There’s a reason (or three) why business leaders choose machine learning over rule-based AI. Learn the strengths and weaknesses of both.

Discover the top 10 data preparation tools for effective business intelligence. Clean and analyze raw data to make informed decisions and improve strategy.

Unlock the power of predictive modeling with our in-depth guide. Learn tools, strategies, and techniques for accurate data analysis and forecasting.

Learn what predictive intelligence is, how it works, and how it can revolutionize your growth strategies to evolve your business.

Learn how to maximize customer loyalty with AI data analytics. Discover the benefits of proactive, predictive strategies to reduce churn and boost profits.

Struggling to generate sales? Want to get a better return on ad spend? Here are the best platforms to forecast business outcomes to optimize your performance.

Learn three ways you can take advantage of machine learning platforms to transform your business operations.

Uncover the secrets of predictive AI — how it works, where it excels, and its game-changing potential for the future of your business.

Something critical is missing from your marketing analytics techniques. Explore how predictive analytics guides informed decisions.

Understand generative AI vs. predictive AI and how each impacts your marketing — and why you should use them together for maximum impact.

Discover how AI for spreadsheets can enhance productivity and accuracy — plus a warning for full-scale adoption.

Achieve marketing optimization in 7 steps. Maximize ROI and target the right audience. Use predictive analytics for data-driven decisions.

Don't let flashy AI news distract you. Check out these essential ways to use AI in marketing to transform your work and propel your career.

Discover 5 AI in retail examples for the holiday season. Increase sales, enhance customer experiences, and meet shopper expectations.

Learn how to measure and increase sales productivity with AI. Automate tasks, personalize outreach, and score leads to boost performance.

Unlock campaigns' potential with our pLTV playbook. Learn how to estimate customer value, tailor strategies, and allocate budgets effectively.

Discover the meaning of incrementality in marketing and why it matters. Learn how to optimize marketing campaigns for incremental gains.

Discover the best use cases for AI in business. Learn how predictive analytics and modeling can optimize revenue and increase profits.

Learn how combining attribution and marketing mix modeling (MMM) helps you understand and optimize your campaign performance.

Is your model healthy and ready for use? Learn more about evaluating a machine-learning model and how Pecan automates the process.

We put ChatGPT to the test with predictive analytics challenges. See where it excelled and where things didn’t go so well.

Predictive lead scoring helps sales and marketing teams prioritize and bring in promising leads, and also boosts upselling and cross-selling.

Understanding your brand’s baseline is vital for an overall calculation of the impact of all your marketing strategies and tactics.

Avoid common mistakes in data analysis. Learn the causes and how to prevent incorrect insights - or how to recover if it's too late.

Learn how to calculate LTV in data analysis and make informed business decisions. Explore traditional methods and discover Pecan's platform for LTV predictions.

Why it matters that Meta has recognized Pecan’s experience in Marketing Mix Modeling and marketing campaign measurement.

Why digital marketers need to look beyond ChatGPT and incorporate multiple forms of AI to truly improve their marketing campaigns.

Discover the top 10 AI marketing tools for 2023. Save time, gain insights, and drive revenue growth with these powerful AI tools.

When the going gets tough, the tough get going! Learn how data analysts can take the wheel to drive greater customer retention during economic challenges.

Advance your career in marketing with these four essential skills and strategies for tomorrow’s data-driven marketing leaders.

Learn from one of our expert analysts how to measure customer retention. Explore standard and AI-driven methods for addressing churn.

Creativity isn’t just for writers and designers. It has a pivotal role in data analytics, from visualization to communication and more.

UA and marketing teams have a more challenging job than ever due to changes in user-level data availability. AI technology can fill that gap.

Learn more about Marketing Mix Modeling (MMM) techniques and challenges. MMM guides decisions and optimizes budget.

Discover how AI is reshaping the role of data analysts. Learn how to embrace and leverage generative AI for higher-value tasks and unlock career opportunities in the future job market.

Ready to unleash your AI data analytics superpowers? Learn 3 ways to use ChatGPT to improve your technical abilities and amplify your impact.

Want to persuade your boss that predictive analytics is a fantastic idea – but don’t know where to start? Here are 4 things to do.

Learn how to measure the ROI of offline channels marketing the right way. Discover techniques for accurate optimization.

Solve common data analytics problems with our tips. Leverage predictive analytics platforms for accurate predictions and faster results.

They’ve got questions. We’ve got answers. Learn how to convince your boss to support your machine learning project in this guide.

Just starting your data analyst career — or a seasoned pro? This article shares how you can increase your value and impact as a data analyst.

What can you learn from the biggest tech firms about building a data-driven culture and using data to achieve success? Find out here.

Discover how advertisers can adapt to a cookieless future and improve ad campaign performance. Explore alternative targeting methods and measurement strategies.

AI and machine learning can help prove incremental lift for an ad campaign, channel, or media partner.

Want to help your company make better decisions, but don’t know where to start? Learn how to build a data-driven culture with these four practical strategies.

From the initial ideation of a campaign to measurement and reporting, AI can streamline workflows and automate tasks, freeing up time.

Discover how machine learning accelerates marketing mix modeling. Optimize your strategies with the power of machine learning.

Think predictive analytics can only be done by data scientists? We’ll show you why you’re wrong – and how to set data analysts up for success.

Predictive analytics is no longer an insurmountable feat. Automation makes it accessible to any data-driven organization.

Many marketers find it tough to attribute campaign success or connect marketing activities with revenue outcomes. Machine learning can help.

Provide real answers and results for the business — and accelerate your career — with machine learning.

Find out exactly which skills you need in order to be able to use predictive analytics. (Spoiler: You’ve already got what it takes.)

The days of cookie-based attribution are numbered. Marketers need to proactively explore alternative approaches to prepare.

Machine learning will power the future of marketing measurement. As the marketing landscape continues to evolve, the time to adopt ML is now.

Unlock the power of machine learning for marketing with our five-step guide. Get the info you need and a guide to implementing ML solutions.

Marketers have so many options for measurement today — but which should they choose, and how can they prepare for the future?

What is MMM? Marketing mix modeling, the best way to understand and maximize your ROI on marketing spend.

PGC London 2023 included much discussion about how AI can help mobile game makers — especially in marketing their games.

The rapid pace of change in digital marketing has left many wondering if it’s time to abandon their data management platforms (DMPs).

Maybe it’s time for marketers to “stop cleaning rooms” and start looking for more predictable solutions for maximizing marketing efficiency.

Why look backward when you can look forward? AI is transforming attribution windows for marketers evaluating campaigns.

MMM has had a makeover for the AI age, and it’s ready to be the star of the data-focused marketer’s toolbox.

Marketers should spend less time on profiling and instead pay more attention to predicting the return of a customer, campaign, or ad channel.

Not convinced yet that predictive analytics can have powerful effects on your business outcomes? Hear it firsthand — and keep learning more.

Marketers will pick ROAS over transparency and control of campaigns? Those are fighting words.

Marketers too often operate on a combination of data and flawed human reasoning, wasting resources for mediocre results.

AI already permeates marketing. If you don’t think you’re using AI in your marketing programs, look closer — and get ready for more.

The coming year will bring data and resource limitations, but there’s great potential to grow with what you have. Learn how and why we predict success.

Today’s top digital marketing managers use data to rise above challenges. Learn which habits and tools maximize this capability.

Learn more about the accuracy of predictive analytics. See how businesses can leverage accurate predictions for data-driven decisions.

Discover how predictive analytics can revolutionize your business decisions. Learn about customer churn, demand forecasting, and more in just 3 minutes.

Predictive analytics transforms retail and e-commerce business. Boost sales, personalize customer experiences, and stay ahead of market trends.

Predicting customer lifetime value (LTV) guides proactive marketing. Read examples of impactful use cases and go behind the scenes to see how it works.

Anticipate which customers will bring the most value in the long run. Predict customer lifetime value (LTV) to nurture and retain them in advance.

If you’re a mobile marketer, these customized Facebook campaign optimization programs can help you better reach your audience. Learn how to choose the right one for your needs.

Our new survey report reveals that marketers want more from AI and predictive analytics. Here are three ways we can move past today’s obstacles.

Learn how advanced analytics can help you understand the customer’s needs and make shifts that are truly adaptive.

Learn what is preventing marketers from achieving data-driven results and how to start using predictive analytics.

Discover the power of automated predictive analytics in just 3 minutes. Streamline AI with automated data preparation and model optimization.

Three tips that can improve your custom event optimizations. Learn how predictive analytics improve optimizations and campaign results.

Learn essential skills for predictive analytics in just 3 minutes. Discover how to connect databases, visualize data, and unlock business potential with AI.

Discover the 5 benefits of predictive analytics in financial services. Improve decision-making, sales, customer satisfaction, and more.

Conversion rate optimization software leverages data to boost customer engagement. Predictive analytics can give this software even more power and effectiveness.

Get the basics of predictive analytics and learn the top 5 ways this innovation can boost your business in just 15 minutes.

Discover the differences between predictive analytics, machine learning, and AI. Learn how these technologies can benefit your business. Find out more!

A new generation of retirees uses many ways to learn about and plan for retirement. Data-driven retiretech will guide their decisions.

Get the key highlights of a conversation among global B2B/B2C marketing leaders about future-driven planning and advanced analytics.

Predictive analytics in retail can optimize inventory, increase sales, and enhance customer retention. Tips, issues to address, and examples.

Predictive analytics in insurance can leverage data that companies already collect and deliver business value.

Marketers must accelerate AI adoption to prove their work’s value to the C-suite and to create confidence within the marketing organization.

Retail and e-commerce companies are solving challenges posed by economic conditions and constant shifts in omnichannel consumer behavior.

Discover how Pecan's automated data exploration revolutionizes AI by cleaning messy data, saving time, and delivering reliable results.

Plans for collecting and using first-party data may seem less urgent — but the delay offers time for thoughtful, impactful strategy.

Overlapping with artificial intelligence, predictive analytics is a powerful business tool in many industries.

Discover why your mobile game analytics are incomplete. Learn how predictive analytics can increase revenue and reduce player churn.

Ad spending trends are shifting. How should marketers plan for next year’s budgets? Predictive analytics helps identify the right strategies.

Pecan’s CTO and co-founder explains the platform’s new model deployment and monitoring capabilities that supercharge data analysts’ role.

Tracking and addressing subscription churn helps subscription-based companies stay in business.

What is predictive analytics? Find out in just 3 minutes! Learn how to predict future outcomes and unlock AI potential for your business.

Today’s CX issues have their roots in logistics and planning. Predictive analytics can transform your strategies and resource allocation.

MAU Vegas 2022 showed how predictive analytics is helping mobile app makers address privacy changes like SKAdNetwork — with proactive marketing based on understanding future user behavior.

There are a lot of bad ideas out there about AI’s role in business. Let’s bust some myths.

Low-code predictive analytics platforms are developed and tested more deeply than single-use code. Scale AI to address more business concerns — at lower cost and faster.

Insurers are going all in on AI. Companies should know what customers will want next, before they themselves are even aware.

SDKs don’t have to be an obstacle with server-to-server integration. Avoid a heavy tech lift and fast-track predictive analytics’ growth potential.

Optimize marketing campaign performance with foresight. Use predictions based on customer data to deliver campaigns directly to your ideal future customers.

Learn the fundamentals with our guide to advanced predictive analytics: key ideas, implementation, benefits, examples, and more.

Sustained customer relationships are invaluable. This predictive approach boosts conversions, customer experience, and the value you deliver.

Cross-sell strategies try to identify which complementary products or services existing customers might like to add to their current purchases.

Gain actionable insights and develop an effective predictive analytics strategy with our comprehensive, hands-on guide in Google Sheet or PDF.

You may not feel like you’re ready for AI, but odds are that your data’s ready.

We are thrilled to continue this journey together as we expand our footprint in Israel, on both coasts of the U.S., and everywhere in between. The best is yet to come.

Make it standard practice, not a special occasion, to apply data science to your business’s questions — and enjoy the rewards of taking that next step.

Discover the caveats of building in-house predictive analytics. Learn how to navigate challenges and drive bottom-line result

If something seems random, that likely just means you need a machine to find the pattern.

Unlike traditional demand planning methods, AI demand forecasting provides granular, nuanced predictions — automatically.

Learn how to stop daily active user (DAU) churn in 3 simple steps using predictive analytics. Increase engagement and retain users.