Tag Archives: Linkedin

Metrics Matter: Techniques to Paid Social Campaign Management

If 10Fold has taught me anything (and it’s taught me a lot!) – it’s that #MetricsMatter. Measuring success is just as important – if not more so – than setting pie-in-the-sky dreams for success and putting the hours (and hours…days…and weeks) into execution. It pays to calculate – with embedded and external social media measuring tools and experts at the ready to help, it’s silly (and unnecessarily stress-inducing) not to keep tabs on progress. Trust me, from a former believer that big ideas alone could power the world, measuring success and following traction along the way is the best option we marketers and PR pros have for ensuring we’ll meet our goals so we can rest easy at night.

Measuring success is critical for your social media campaign. The good news? Paid social campaign tools are built into the platforms through which we all need to work and play (i.e., Facebook, Twitter, LinkedIn). They can help us hone audiences, identify demographics and keywords, set benchmark metrics, do A/B testing on headings and images, and so much more. They are insightful and are well worth the investment with the right strategic frame of mind and a strong and deliberate content development strategy.

I spoke (well, e-spoke, but he’s always available to “real-speak” as well) with 10Fold’s resident social media strategist Tyler Trainer about how he approaches the paid and sponsored social program at 10fold. Because for sure organic growth alone is no longer enough to move the social needle. Here’s what he had to say:

Q: What was the challenge you faced with amplifying 10Fold social content? With approaching paid in particular? What were your goals in building a paid strategy?

A: Reaching your target audience is key. Content success can be achieved,  first and foremost, with great content. Delivering that content consistently and reliably is necessary for continued success. Readers can check out more at Building a Social Media Plan – Content is King

Your paid strategy and ad style should reflect your goal (e.g.., content downloads? Use the website conversion templates on the social platforms to boost your success). Here are some key considerations
NO FOLD ICON 15x15 This varies between platforms, no one-size fits all approach
NO FOLD ICON 15x15 Learn the criteria for each platform; i.e., the differences in targeting technology interests on Twitter vs. LinkedIn, they cover different user behavior
NO FOLD ICON 15x15 Resist ‘follower-look-alike’ set and forget options: This may sound like it’d be a good start, but it’s easy to misdirect your budget without narrowing your search criteria. (Got it – good call!)

Q: What approach did you take and what solution did you come to? What metrics did you set and what were your KPIs? How did you arrive at that and how did it work?

A: Tools like Brandwatch and Followerwonk let you analyze your followers and understand who is responding to your content. You can also use these tools to check out who is following your successful competitors.

Keep in mind that this all depends on your goal. Download a whitepaper or attend a webinar (clicks and conversions), build brand awareness and push social conversations around your product/company (awareness, and engagement in particular, campaigns). Check out How Do I Prioritize Social Media Metrics? for more information. (So thoughtful, so resourceful. Will do!)

Q: What was the ROI on this? Successes realized? Lessons learned / key takeaways?

A: Here are the 10Fold results!
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30% follower gain
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 44% engagement gain
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 Website traffic up over 20%

Pretty impressive! As my Austin-based colleagues at 10Fold would say, “What do y’all think?”

Let us know your thoughts and what challenges you’ve been facing with paid social / what metrics for success might look like for you!

By Katie LeChase 

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Big Data Horizons- HiQ Labs and LinkedIn, Asian Pacific Trend

We have a US $65B big data opportunity in Asia Pacific, and the trends point to big benefits

“Global Big Data market growing fast”

Market intelligence firm IDC has stated that the worldwide big data market cap is expected to hit $203 billion in the near future, with the Asian Pacific (APAC) leading much of the growth. IDC claims that organizations investing in productivity benefits in the region could attain $65 billion in reward by 2020 over competitors. Further, 53% recognize the necessity of big data for business and that they currently do, or will rely on it for their market survival in the future.

Imanis Data focuses on big data backup and recovery

“Necessary, as three of four firms has suffered data loss in the last year”

Imanis Data, formerly Talena, has released eponymous backup and recovery platform version 3.0, which emphasizes support for large datasets generated by companies on the new era of big data.

Version 3.0 is claimed to strengthen backup architecture, recover and replicate terabyte and petabyte-sized data sets up to 10 times faster than any other solution on the market, and minimize the impact of data loss by reducing costly days and weeks of downtime to minutes and hours and reducing secondary storage costs by almost 80%.

The company has also claimed that its data backup platform utilizes cloud-based data replication to provide backup and disaster recovery across different regions and providers. This will essentially allow a user to split their backup across Microsoft Azure Blob Storage and HDInsight, while also including Amazon S3 and the Hortonworks cloud distribution for Hadoop.

Judge orders LinkedIn to unblock startup from scraping public profile data: Report

“Ordered to unblock HiQ Labs from scraping public data”

U.S. Judge Edward Chen has has ruled that LinkedIn must allow the talent management startup HiQ Labs from collecting profile data from users within 24 hours on Monday.

HiQ Labs responded to the verdict on Monday “This ruling allows us to continue serving our clients while we seek to permanently prevent LinkedIn from monopolizing the aggregation and analysis of publicly available information on the web,”

LinkedIn had first confronted HiQ in May with a letter asking them to cease data collection of LinkedIn profiles for their business practices which uses publicly available “people data” to train its AI models to predict employee behavior.

Judge Chen, in his ruling on Monday, claims that adopting LinkedIn’s “broad interpretation” of CFAA “could profoundly impact open access to the internet, a result that Congress could not have intended when it enacted the CFAA over three decades ago.”

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