How eMa helped a top AI company increase LinkedIn followers by 105% with Organic Social Media Marketing

Backstory

Brighterion, a Mastercard company, provides real-time artificial intelligence technology to 74/100 of the largest U.S. banks and more than 2,000 companies worldwide. Their AI and machine learning secure more than 100 billion transactions annually to help leading organizations manage the credit risk lifecycle and predict delinquency, prevent payments and acquirer fraud, detect healthcare fraud, waste and abuse, and more. Brighterion was looking to implement best practices on LinkedIn to boost their following, increase brand awareness and drive traffic to their website.

Building
out a Social Strategy

We kicked off our social media strategy with a deep dive into the analytics for the previous year to get an idea of what tactics were working and what we could improve upon. We also conducted an audit of all social channels to ensure consistency in brand and messaging.

We implemented social media best practices specific to B2B tech companies, which included posting consistency, ensuring a solid mix of both curated and original content, and utilization of LinkedIn groups.

We leveraged the power of employee advocacy and partnerships to expand Brighterion’s reach and increase brand awareness.

Social analytics were reviewed on a weekly and monthly basis to refine our social strategy

The Results*

*This data is based on a comparison of the first 3 months of the engagement vs the previous 3 month prior to services beginning.

Check additional resources

Reembracing Purpose and Commitment at Work

A hallmark of all crises are their silver linings. As the COVID-19 pandemic wore on through a second and into a third year, the discussion

Salesforce Implementation Checklist: 10 Must Do’s

Having a great Salesforce implementation strategy from the start is the best way to achieve optimal ROI on your Salesforce investment while 

Turn Your Marketing Data Into Actionable Insights

Every B2B marketing team faces the challenge of consuming a large quantity of data and translating that into better business decisions.