Objective

The document represents a case study for the “Dynamically Served Digital OOH” format for Grabb-IT. Grabb-IT has built a Video/Display advertising format that is delivered on a ride-sharing vehicle allowing the Ads to be hyper targeted (Hyper Local + Time Parted) with precision

Goals

The case study is trying to prove;

The DD-OOH format delivery creates a very high brand recall
After viewing the ad delivered via DD-OOH, users tend to have a significant purchase intent

For the case study, Grabb-it partnered an innovative startup e-commerce company delivering customized greeting card targeted for Valentine’s day. The brand for this company was relatively new and that helped creating a better study environment.

Method

To deliver the case study, two high foot density locations were chosen that have repeat footsteps to test brand recall;

A one-week campaign at two locations in California
5 Cars; 12:00pm – 2:00pm & 5:00pm – 8:00pm across downtown Mountain View, CA
3 Cars; 4:30pm – 7:30pm at Local BART Train Station, Fremont, CA
Surveyors randomly intercepted people on last day of campaign on side walk and asked survey questions (sample responses)

The method was developed making an assumption that consumers were coming back to the same locations;

Downtown Mountain View targets users between 12-2 that are office goers nearby
Downtown Mountain View targets users between 5-8 that live nearby
Most commuters from the city coming back to Fremont come back between 4:30-7:30 PM

The e-Commerce greeting card company chose these locations targeting affluent millennials that were busy in their life and agreed to the two locations as a good test.

From a Grabb-IT perspective, these locations were interesting because it would be very hard to bring promotions to these areas – they are thickly populated (or regulated in the train stations case) and without Grabb-It it would be hard to promote users.

Another basis was catching the users in the right moments but very hard to measure;

In downtown Mountain View, the idea was to target consumers about to make decisions (about food or places to go)
At the Fremont BART stations, the idea was to target leisure consumers who were completing the productive cycle of the day

The Creative

The creative was a full 30 second TV slot that was posted on a rear window of a ride sharing vehicle. The creative repeated itself with a small pause allowing passer by footsteps to see a full LCD quality TV ad right where they were making decisions.

The TV creative was provided by the digital greeting card company based on their TV and Video digital ad strategy.

We are unable to share the final creative for now, but here is another test creative for Grabb-It to help understand how the creative worked.

The footstep engagement gives you a perspective of the potential of an innovative ad unit that can be deployed to hyper targeted areas.

Results

The results were calculated based on 100 surveyors a week after the campaign based on assumption of repeat footsteps. results

What the above results told us were;

45 out of 100 remembered seeing the digital greeting card advertisement
95% (43) of those 45 recalled the brand (digital greeting card company)
60% (28) of those understood the brand product
47% (22) of those were willing to make a purchase of the product

The above results significantly outperform digital advertising and OOH purely based on the hyper-targeted aspects. To provide a comparative note;

What we were able to prove was Digital OOH converging digital and OOH for hyper targeting outperforms existing formats by 20X.

Conclusion

In conclusion, what we were able to prove was;

Grabb-It was able to reach in areas that reached affluent millennials with the right mindset where digital advertising or OOH would find it hard to reach
Grabb-It outperforms traditional advertising by 20X in brand recall metrics
Grabb-It was able to create a purchase intent of about 20% within exposed groups which is significant

With new technology, and innovation the measurement methods for Grabb-It will significantly improve where advertisements can be mapped back to purchase cycles soon. However, with this study we were clearly able to prove that Digital OOH via ride-sharing cars is here to stay.

Digital advertising has really matured and grown like a beast; we may not necessarily all agree we like advertising, but it sure has influenced our path to purchase, debatably, more so than any medium including TV.

While Digital Advertising really solves for reminders to our online persona — also called the brand recall metric — it has remained invisible in the offline world as a performance driver, especially for smaller brands that find budgets too high and the experience too cumbersome to measure. When we are out and about ‘on the go’, traditional billboards, printed ads, etc. — also called as OOH (Out of Home) — are the only promotional reminders we get on the fly. And while OOH is becoming digitized, they are still inflexible in terms of where the ad is presented to the consumer.

It is time promotions reach us when we are about to make decisions on the fly or when we are ready to take them — on the go and near real time and hyper located! And all of the above with existing digital formats of delivery that do not need to be recreated.

When we head to meet our friends, more often than not what we, as a group, agree that we will meet at a place and hunt for places on the fly. Same goes for our day to day lunch decisions — almost everyone makes those decisions on the fly as they enter the block where food places co-exist. Meanwhile idle hours when we are getting on, off the train, bus, cabs, etc. are great times to influence our minds about daily, and even longer-term decisions.

It is these moments where digital advertising remains ineffective and even digital OOH which can now change ads on the fly, unless strategically placed, may not be meaningful. Any existing form of advertising, digital or OOH, is ineffective driving footsteps to local shop is well known; and may be one of the reasons e-commerce, e-tail, etc. does so much better than store-commerce or re-tail as they have a medium to drive traffic.

We can come up with more examples around conferences, meetups, train stations, etc. — advertising has always been about scale and when you are a single brand, single store, single eatery it’s been hard to really justify scale.

Think Dynamically Served (Location and Time) Digital Out of Home Ads; have you thought if digital ads could reach your audience where they can be influenced on the go and at the moment of most influence. We, at Grabb-it, are doing exactly that. If you want to drive store traffic real time or influence your audience for brand recall locally or drive targeted traffic at an event we have the solution for you. We have cars that drive your digital advertisements on the passenger side windows to your audience to get optimal results — when you are hyper targeted and know how your money is working for you, you are already out-performing digital, and you will see hyper targeted results as well.

With Grabb-it, we can take your 30-second spot, your brand, or your message at your sponsored event, train stations, city streets, near homes, etc. in a workable budget with a significant brand and message recall influencing the audience that matters much to you — local, and at the time marketers can influence them the most.

With Grabb-it you get DD OOH— Dynamically Served Digital Out of Home. Same old digital billboard using the effectiveness and nimbleness of digital advertising with full trackable location exposure and no fraud related nonsense to deal with.

Please contact us at contact@grabb-it.io for getting a demo scheduled.

Grabb-It

Case Study: Offline promotion of Digital goods