©2014 Zignal Labs

Zignal Insights:

Monitoring andPredicting the NFL Draft

The 2014 NFL Draft a�orded us the opportunity to use Zignal to analyze one of the biggest events on social media. During this experiment, we dove into the data to �nd exciting new insights while also testing our ability to monitor real world events.

THE RESULTSThe NFL Draft drives an immense amount of tra�c. There were over 500,000 mentions in the hours leading up to the event, topping out at over 93,000 per hour during the �rst picks at 8:10 pm EST.

Our realtime analytics kept pace with the high-volume conversation, constantly updating to re�ect each round of breaking news, from rumors to the �rst pick.

While there was a signi�cant amount of chatter in the day leading up to the event, momentum started to build most as a result of rumors, predictions, and proximity to the start of the event.

There were also spikes in the conversation near the end of the work day and immediately before the event began.

Popularity was a decent predictor of placement in the draft, with the rank of total mentions corresponding to pick placement in most cases.

The exception to this is Johnny Manizel; even though Jedeveon Clowney was expected to be the �rst pick (and was), Johnny Manziel was the most talked about athlete. Manziel de�ed the popularity trend and was the 22nd pick in the �rst round.

Analysis of the conversation in the seconds immediately after the �rst draft pick accurately re�ected the �rst pick, with the Houston Texans and Jadeveon Clowney showing up most prominently in the word cloud.

ME THODOLOGYWe monitored broadly,tracking all mentions of“NFL Draft” and #NFL Draft across media types.

Our coverage includes the full Twitter API, public Facebook, hundreds of thousands and news and blogs.

Additionally, we used our Issues feature for a second layer of Boolean searching to measure top prospects by position.

©2014 Zignal Labs 2

ZIGNAL INSIGHTS

TrendsMedia outlets engaged with fans on social media more than through traditional news stories. Fans used Twitter to voice their predictions for draft day. As a result, “speculation,” “predictions” and “rumors” were prominent words in the word cloud throughout the day.

Fans also used Twitter for celebrity gossip, fashion, and speculations about Walk-Up music for each player. These types of tangential topics accounted for the majority of trending stories leading up to the event, indicating the widespread appeal of this event.

NE W MEDIAA Vine of Jadeveon Clowney was a trending story, with 3,724 mentions before the draft started.

Social media was theprimary form of dialogue

Trending stories by top mentions on May 8, the day of the draft

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ZIGNAL INSIGHTS

Trending and Popular StoriesTraditional media outlets ranked highly among top in�uencers, with the NFL, ESPN, CBS Sports, and USA Today accounting for much of the shared content.

The NFL’s draft countdown tweet was a trending story throughout the day, with over 3,000 mentions.

Separately, the NFL also had the 3rd most popular tweet.

ESPN also ranked highly witha story about Derek Carr, a Quarterback from Fresno state.This story was shared 4,548 times.

Traditional outlets also used video sharing sites to spread clips of the draft candidates. YouTube was a prominent source and was ranked as the most shared site overall.

Traditional sports sources weretop in�uencers

ESPN’s story on Derek Carr

The o�cial NFL Twitter account’s countdown tweet

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ZIGNAL INSIGHTS

Predictions and rumorsdrive the conversation

RumorsRumors began to form at 9:00 am EST that the Dallas Cowboys were going to draft Johnny Manziel, a Quarterback from Texas A&M, causing the overall conversation to spike to around 10,000 mentions per hour.

Cowboy-Manziel Rumors

Increasing MentionsThe conversation began to gain momentum during the lunch hour on the East Coast.

From noon to 1:00 pm EST there were 21,504 mentions. In the �rst 15 minutes, the conversation peaked at 7 mentions per second.

Mentions during lunch

Quarter Million MentionsBy 5:00 pm EST, the NFL Draft campaign had reached a quarter million mentions.

In one 15 minute period at the start of the event, there was an average of more than 2000 tweets per minute.

The most talked about team throughout the day was the Houston Texans, re�ecting their position as the �rst round draft pick.

Mentions at end of work day

©2014 Zignal Labs 3

ZIGNAL INSIGHTS

QuarterbackThe most talked about Quarterback was Johnny Manziel , with 17,075 mentions before the draft, was the 22nd pick. Blake Bortles, with 3,722 mentions, was the �rst QB drafted.

Running BacksRunning Backs were not as popular with fans or the teams. Bishop Sankey was the �rst picked, as the 54th pick overall. He had 747 mentions before the draft.

SafetiesCalvin Pryor was the �rst pick among Safeties but was only the second most popular. The most popular, Ha Ha Clinton-Dix was the 21st pick.

Tight EndsThe most popular Tight End, Eric Ebron, was also the �rst pick.

Defensive EndsJadeveon Clowney was by far the most talked about Defensive End with 8,197 mentions, and was also the �rst pick overall.

Wide ReceiversThe most popular Wide Receiver was Sammy Watkins, with 4,355 mentions, and he was also the �rst Wide Receiver pick. The second most popular, Mike Evans, was the second picked.

CornerbacksThe most popular (976 mentions) Cornerback, Justin Gilbert, was picked �rst for this position.

Inside LinebackersCJ Mosley, the only Inside Linebacker with signi�cant mentions was the �rst picked at 17th overall.

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Popularity is often a goodpredictor of the draft

Issue searches allowed us to add a second layer of Boolean queries to our search and �lter the results by position

©2014 Zignal Labs 6

ZIGNAL INSIGHTS

RESULTS

Immediately prior to the event, the word cloud widget highlighted the general conversation surrounding the event, including the NFL Draft o�cial hashtag, walk-up songs, and coverage of the event.

At 8:00 pm EST, the Houston Texans picked Jadeveon Clowney, a Defensive End from South Carolina, as the �rst overall pick in the draft. The word cloud widget captured this change in the conversation immediately, with Clowney becoming the largest word overall.

Zignal visualizations show realtimechanges in the conversation

Word cloud widget generated at 7:45 pm EST on May 8

Word cloud widget generated at 8:00 pm EST on May 8

©2014 Zignal Labs 7

ZIGNAL INSIGHTS