Hackers are driven by curiosity,
last week we attended the Wolves Summit 2016 in Warsaw, a networking event for startups and investors that feature a competition with a 100’000€ prize. We were so happy to see Twisto getting the second prize and SwipeStox the first money prize, they both deserved the recognition.
Could the future be predicted?
This was our first thought as soon as the startups that could continue the competition through the semifinal were announced: who will win the 100K prize? Companies still in run were: Inovar, Skeleton, Bike ID, Frink, Personal, Travels, FIVE, SwipeStox, Deekit, Leadfeeder, NUVIZ, Sharewood, Weps, Motoraporter, WeRoll, Lab4Motion, Stylelounge, Twisto, Zylia, NanoSanguis, The, Invoice, Exchange, Elinta, Motors, Tap4Parking, Nanothea, CrankWheel, Wazzurb, Nesthub, Scortex, AddMondo, Samokup, Netbeast, International, Friends, Community, Sounday, Music, SOMAprobes, Time, Machine, For Net and Cyberproductivity.
Some of them are really sound ideas and executions. Even if the time was too tight to get a prediction for the day after (12 April) we wanted to analyze the traction finalists were having, at least at the conference.
Traction analysis using Google Ad Words and Geo-Targeting
Our plan took us about two hours to be executed. First we created an Ad Word campaign on Monday (11 April) with as keywords the names of the startups that were semi-finalists.
Match type Broad
Campaign Wolves Summit
Ad group Wolves Semi-Finals
Ad group max CPC 5
The daily limit was set at 100€ but the campaign never reached that amount. In total 103.36€ were spent to get 111 Clicks, 11199 Impressions with a CTR of 0.99% (not bad for an hijack campaign!) and an Average CPC of 0.93€. The ad were almost always in the first position with an Average position of 1.2.
Analysis results
The winner (SwipeStox) was in 7th position (0 Clicks, 104 Impressions) so we would never bet on it based on our data. There were much stronger runners, first Inovar (34 Clicks on 6513 Impressions), second Skeleton (7Clicks on 1707 Impressions) and then Bike ID (32 Clicks on 841 Impressions).
Especially the last one had a 3.80% CTR, meaning that users were more motivated compared to other brands.
Complete data
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