Fine-tuning your customer journey

Throw away your old metrics! Start thinking about intention, progression and aversion

Social media, mobile devices and more accessible broadband have changed consumers’ buying habits and flipped the customer journey completely on its head. Twenty-five years ago a marketer could send a campaign and measure responses and conversions in a chronological pattern, but now customers have a plethora of platforms to choose between and can meander any which way they choose, so it’s very hard to shepherd them along a defined path.

However, marketers are still clinging to old, linear campaign metrics (sends, opens, clicks and transactions), which do not accurately measure the journey of the modern, platform-roaming consumer. The truth is that this linear mind-set is highly ineffective when it comes to measuring the success or failure of a non-linear customer journey.

Topics: customer journey customer engagement journey mapping customer experience customer journey orchestration segmentation

How segmenting an automotive audience leads to more sales

Nobody buys a new car in a hurry. After all, a car is the second most expensive purchase that people routinely make (after a home), and those purely interested in utility or seeking an emergency replacement tend to shop second hand. A new car is a status symbol. It represents who you are, how you live, and what you like to do in your spare time – and that’s without thinking about keeping your family safe, the likely weather and road conditions, and your mileage and environmental preferences. Automotive clients know what they’re looking for and are willing to hold off until they find it. So, the buying journey can take years and approaching the right customer in the right way is absolutely critical.

Topics: personalisation customer engagement automotive personalization customer journey orchestration data unification segmentation segments

How to Continually Optimize Data Quality using a Customer Data Platform

Poor quality data is the result of numerous errors that can progressively ruin the success of your marketing campaigns. In fact, according to IDG, poor data quality is one of the modern marketer’s biggest concerns, with 66% of those polled declaring data quality and accuracy as a “top priority”. 

Inaccurate names, addresses and contact details, along with duplicate records and decayed information, will distort your view of a customer, resulting in poor campaign results and inaccurate insights. Worse still, it creates a bad experience for your customers whereby they either miss out on a specific offer, are targeted wrongly or receive the same message multiple times.

Topics: BlueVenn Marketing customer journey customer data bad data Data Quality customer engagement data privacy customer insight data cleaning data analysis Customer Data Platform marketing data data analytics clean data marketing database cdp

Step-By-Step Guide for an Effective Customer Engagement Strategy

Customers are now more in tune than ever before with knowing what they want from a brand experience, and how they want to be engaged with. According to Accenture, 81% of consumers want brands to understand them better and know when, and when not, to approach them.

It’s clear that marketers understand this too because 77% believe real-time personalization through customer data is crucial. However, despite knowing this, only 33% of marketers admit to actually being able to truly personalize the customer experience in real-time.

Topics: customer engagement