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THE FACEBOOK ADS EXPERIMENT: 12 TIPS TO CRAZY ENGAGEMENT<br />

Note that the tips were targeted at people who read the preceding<br />

tip (or in the case of Tip #1, clicked the first ad). As a result, my<br />

audiences were very small — typically anywhere from 1,000 to<br />

4,000 people (closer to 1,000 for most of the tips after Tip #2).<br />

I didn’t want Facebook to optimize in this case. I wanted the ads to<br />

be shown to everyone in the target audience (if possible!).<br />

As a result, I initially optimized for impressions (CPM). Of course,<br />

I also needed to bid high enough so that I outbid my competition<br />

since every user was important.<br />

I had ad sets for each placement (more on that in a separate tip),<br />

and following were my bids:<br />

◼◼Desktop News Feed: $20<br />

◼◼Desktop Right Column: $10<br />

◼◼Mobile: $20<br />

In each case, this was well over the suggested bid range.<br />

Keep in mind, of course, that I was not spending these amounts<br />

overall per 1,000 people I was reaching. These were just my<br />

maximum bids. Up through promotion of Tip #6, following were<br />

the CPMs I was paying to promote the tips of my experiment:<br />

◼◼Desktop News Feed: $9.48<br />

◼◼Desktop Right Column: $1.48<br />

◼◼Mobile: $9.63<br />

Note that up until that point I was also using CPM. From Tip #7<br />

going forward, I changed my bidding method…<br />

MY EXPERIMENT: DAILY UNIQUE REACH<br />

Midway through my experiment I decided to experiment with Daily<br />

Unique Reach. The reason for that is that frequency tended to be<br />

high overall since I was showing many different ads to people over<br />

a short period of time. This particularly impacted the sidebar.<br />

Beginning with promotion of this tip, I started using Daily Unique<br />

Reach exclusively for three different ad sets (more on that in the<br />

next tip). This allowed me to reach people up to once per day<br />

per ad set. It still allowed me to reach as many people within my<br />

audience as possible (as was the case with CPM), but allowed me<br />

to drastically cut frequency and limit waste.<br />

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