The Shopify Ecosystem

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Every<00:00:00.480><c> new</c><00:00:00.800><c> customer</c><00:00:01.360><c> makes</c><00:00:01.600><c> your</c><00:00:01.839><c> entire</c>

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Every new customer makes your entire
 

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Every new customer makes your entire
digital<00:00:02.720><c> ecosystem</c><00:00:03.360><c> stronger.</c><00:00:03.919><c> But</c><00:00:04.000><c> that</c>

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digital ecosystem stronger. But that
 

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digital ecosystem stronger. But that
only<00:00:04.400><c> works</c><00:00:04.640><c> if</c><00:00:04.799><c> your</c><00:00:05.040><c> data</c><00:00:05.279><c> is</c><00:00:05.520><c> accurate.</c><00:00:06.000><c> In</c>

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only works if your data is accurate. In
 

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only works if your data is accurate. In
this<00:00:06.400><c> video,</c><00:00:06.720><c> I'm</c><00:00:06.960><c> going</c><00:00:07.040><c> to</c><00:00:07.120><c> talk</c><00:00:07.279><c> about</c><00:00:07.440><c> the</c>

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this video, I'm going to talk about the
 

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this video, I'm going to talk about the
part<00:00:07.759><c> of</c><00:00:07.839><c> the</c><00:00:08.000><c> ecosystem</c><00:00:08.559><c> that</c><00:00:08.960><c> everything</c>

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part of the ecosystem that everything
 

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part of the ecosystem that everything
depends<00:00:09.760><c> on.</c><00:00:10.080><c> Your</c><00:00:10.320><c> tracking,</c><00:00:10.880><c> your</c>

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depends on. Your tracking, your
 

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depends on. Your tracking, your
attribution,<00:00:12.080><c> and</c><00:00:12.240><c> the</c><00:00:12.480><c> data</c><00:00:12.960><c> layer</c><00:00:13.200><c> that</c>

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attribution, and the data layer that
 

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attribution, and the data layer that
becomes<00:00:13.840><c> the</c><00:00:14.080><c> brain</c><00:00:14.400><c> behind</c><00:00:14.799><c> your</c><00:00:15.040><c> growth.</c>

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becomes the brain behind your growth.
 

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becomes the brain behind your growth.
Nothing<00:00:15.839><c> in</c><00:00:16.080><c> the</c><00:00:16.240><c> ecosystem</c><00:00:16.800><c> can</c><00:00:16.960><c> scale</c>

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Nothing in the ecosystem can scale
 

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Nothing in the ecosystem can scale
without<00:00:17.680><c> clean</c><00:00:18.000><c> data.</c><00:00:18.400><c> Not</c><00:00:18.560><c> your</c><00:00:18.720><c> ads,</c><00:00:19.359><c> not</c>

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without clean data. Not your ads, not
 

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without clean data. Not your ads, not
your<00:00:19.680><c> clavio</c><00:00:20.160><c> flows,</c><00:00:20.880><c> not</c><00:00:21.039><c> your</c><00:00:21.199><c> conversion</c>

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your clavio flows, not your conversion
 

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your clavio flows, not your conversion
rate<00:00:21.920><c> improvements,</c><00:00:22.640><c> not</c><00:00:22.800><c> your</c>

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rate improvements, not your
 

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rate improvements, not your
decision-making.<00:00:23.920><c> If</c><00:00:24.080><c> the</c><00:00:24.240><c> brain</c><00:00:24.480><c> is</c>

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decision-making. If the brain is
 

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decision-making. If the brain is
confused,<00:00:25.680><c> the</c><00:00:26.000><c> entire</c><00:00:26.400><c> system</c><00:00:26.720><c> becomes</c>

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confused, the entire system becomes
 

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confused, the entire system becomes
unstable.<00:00:27.920><c> So</c><00:00:28.160><c> let's</c><00:00:28.400><c> break</c><00:00:28.640><c> down</c><00:00:29.119><c> how</c><00:00:29.359><c> we</c>

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unstable. So let's break down how we
 

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unstable. So let's break down how we
build<00:00:29.760><c> the</c><00:00:30.000><c> data</c><00:00:30.400><c> layer</c><00:00:30.640><c> inside</c><00:00:30.960><c> the</c><00:00:31.199><c> digital</c>

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build the data layer inside the digital
 

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build the data layer inside the digital
ecosystem.<00:00:32.399><c> The</c><00:00:32.559><c> first</c><00:00:32.719><c> thing</c><00:00:32.880><c> we</c><00:00:33.120><c> do</c><00:00:33.520><c> is</c><00:00:33.760><c> make</c>

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ecosystem. The first thing we do is make
 

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ecosystem. The first thing we do is make
sure<00:00:34.079><c> that</c><00:00:34.239><c> G4</c><00:00:34.960><c> is</c><00:00:35.120><c> tracking</c><00:00:35.520><c> correctly.</c><00:00:36.000><c> We</c>

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sure that G4 is tracking correctly. We
 

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sure that G4 is tracking correctly. We
need<00:00:36.480><c> full</c><00:00:36.880><c> precision.</c><00:00:37.680><c> We</c><00:00:37.920><c> need</c><00:00:38.079><c> accurate</c>

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need full precision. We need accurate
 

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need full precision. We need accurate
revenue.<00:00:39.120><c> We</c><00:00:39.280><c> need</c><00:00:39.440><c> clean</c><00:00:39.680><c> events.</c><00:00:40.480><c> We</c><00:00:40.640><c> need</c>

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revenue. We need clean events. We need
 

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revenue. We need clean events. We need
the<00:00:41.040><c> ability</c><00:00:41.360><c> to</c><00:00:41.600><c> see</c><00:00:41.840><c> what's</c><00:00:42.160><c> actually</c>

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the ability to see what's actually
 

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the ability to see what's actually
happening<00:00:43.040><c> at</c><00:00:43.360><c> every</c><00:00:43.680><c> stage</c><00:00:43.920><c> of</c><00:00:44.079><c> the</c><00:00:44.320><c> customer</c>

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happening at every stage of the customer
 

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happening at every stage of the customer
journey.<00:00:45.120><c> So</c><00:00:45.360><c> we</c><00:00:45.520><c> rebuild</c><00:00:46.000><c> the</c><00:00:46.239><c> entire</c>

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journey. So we rebuild the entire
 

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journey. So we rebuild the entire
structure.<00:00:47.120><c> Clean</c><00:00:47.440><c> purchase</c><00:00:47.760><c> events,</c>

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structure. Clean purchase events,
 

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structure. Clean purchase events,
product<00:00:48.719><c> views,</c><00:00:49.360><c> checkout</c><00:00:49.840><c> steps,</c><00:00:50.399><c> and</c>

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product views, checkout steps, and
 

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product views, checkout steps, and
enhance<00:00:51.200><c> e-commerce</c><00:00:51.760><c> tracking.</c><00:00:52.320><c> Now</c><00:00:52.559><c> G4</c>

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enhance e-commerce tracking. Now G4
 

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enhance e-commerce tracking. Now G4
becomes<00:00:53.520><c> a</c><00:00:53.760><c> true</c><00:00:54.079><c> source</c><00:00:54.399><c> of</c><00:00:54.640><c> truth,</c><00:00:55.360><c> not</c><00:00:55.600><c> an</c>

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becomes a true source of truth, not an
 

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becomes a true source of truth, not an
approximation.<00:00:56.640><c> Once</c><00:00:57.039><c> G4</c><00:00:57.600><c> is</c><00:00:57.760><c> reporting</c>

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approximation. Once G4 is reporting
 

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approximation. Once G4 is reporting
clean<00:00:58.480><c> data,</c><00:00:58.960><c> we</c><00:00:59.199><c> connect</c><00:00:59.440><c> the</c><00:00:59.600><c> attribution</c>

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clean data, we connect the attribution
 

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clean data, we connect the attribution
layer.<00:01:00.559><c> This</c><00:01:00.719><c> is</c><00:01:00.800><c> where</c><00:01:01.039><c> Meta,</c><00:01:01.600><c> Google</c><00:01:01.920><c> Ads,</c>

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layer. This is where Meta, Google Ads,
 

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layer. This is where Meta, Google Ads,
YouTube,<00:01:03.120><c> Performance</c><00:01:03.680><c> Max,</c><00:01:04.239><c> any</c><00:01:04.479><c> ad</c>

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YouTube, Performance Max, any ad
 

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YouTube, Performance Max, any ad
platform<00:01:05.280><c> we're</c><00:01:05.600><c> using</c><00:01:06.159><c> all</c><00:01:06.479><c> receive</c>

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platform we're using all receive
 

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platform we're using all receive
consistent,<00:01:07.840><c> reliable</c><00:01:08.479><c> signals</c><00:01:08.960><c> about</c>

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consistent, reliable signals about
 

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consistent, reliable signals about
what's<00:01:09.760><c> actually</c><00:01:10.159><c> converting.</c><00:01:10.720><c> When</c><00:01:10.960><c> each</c>

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what's actually converting. When each
 

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what's actually converting. When each
platform<00:01:11.760><c> gets</c><00:01:12.000><c> clean</c><00:01:12.320><c> feedback,</c><00:01:13.119><c> every</c><00:01:13.360><c> part</c>

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platform gets clean feedback, every part
 

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platform gets clean feedback, every part
of<00:01:13.680><c> your</c><00:01:13.840><c> acquisition</c><00:01:14.400><c> engine</c><00:01:14.720><c> gets</c><00:01:14.960><c> smarter.</c>

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of your acquisition engine gets smarter.
 

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of your acquisition engine gets smarter.
The<00:01:15.600><c> ads</c><00:01:15.920><c> start</c><00:01:16.159><c> finding</c><00:01:16.479><c> better</c><00:01:16.880><c> customers.</c>

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The ads start finding better customers.
 

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The ads start finding better customers.
The<00:01:17.759><c> bids</c><00:01:18.159><c> gets</c><00:01:18.400><c> more</c><00:01:18.560><c> efficient.</c><00:01:19.280><c> The</c>

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The bids gets more efficient. The
 

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The bids gets more efficient. The
algorithm<00:01:20.080><c> aligns</c><00:01:20.560><c> with</c><00:01:20.799><c> your</c><00:01:21.040><c> real</c><00:01:21.280><c> business</c>

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algorithm aligns with your real business
 

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algorithm aligns with your real business
goals<00:01:22.159><c> and</c><00:01:22.400><c> not</c><00:01:22.640><c> guest</c><00:01:23.119><c> signals.</c><00:01:23.840><c> This</c><00:01:24.000><c> is</c>

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goals and not guest signals. This is
 

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goals and not guest signals. This is
what<00:01:24.320><c> allows</c><00:01:24.640><c> the</c><00:01:24.880><c> ecosystem</c><00:01:25.439><c> to</c><00:01:25.600><c> scale.</c>

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what allows the ecosystem to scale.
 

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what allows the ecosystem to scale.
After<00:01:26.400><c> that</c><00:01:26.640><c> comes</c><00:01:26.880><c> the</c><00:01:27.040><c> data</c><00:01:27.439><c> layer</c><00:01:27.600><c> and</c><00:01:27.840><c> this</c>

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After that comes the data layer and this
 

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After that comes the data layer and this
is<00:01:28.080><c> where</c><00:01:28.240><c> the</c><00:01:28.400><c> real</c><00:01:28.560><c> magic</c><00:01:28.960><c> happens.</c><00:01:29.600><c> The</c>

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is where the real magic happens. The
 

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is where the real magic happens. The
data<00:01:30.240><c> layer</c><00:01:30.479><c> organizes</c><00:01:31.119><c> everything</c><00:01:31.520><c> your</c>

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data layer organizes everything your
 

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data layer organizes everything your
store<00:01:32.079><c> collects.</c><00:01:32.720><c> Your</c><00:01:32.960><c> customer</c><00:01:33.360><c> behavior,</c>

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store collects. Your customer behavior,
 

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store collects. Your customer behavior,
product<00:01:34.560><c> interactions,</c><00:01:35.600><c> revenue</c><00:01:36.000><c> events,</c>

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product interactions, revenue events,
 

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product interactions, revenue events,
checkout<00:01:36.960><c> steps,</c><00:01:37.680><c> everything</c><00:01:38.320><c> into</c><00:01:38.640><c> the</c>

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checkout steps, everything into the
 

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checkout steps, everything into the
structured<00:01:39.360><c> information</c><00:01:39.920><c> that</c><00:01:40.320><c> every</c><00:01:40.560><c> part</c>

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structured information that every part
 

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structured information that every part
of<00:01:40.880><c> the</c><00:01:41.040><c> ecosystem</c><00:01:41.600><c> can</c><00:01:41.840><c> use.</c><00:01:42.240><c> Clavio</c><00:01:42.799><c> uses</c><00:01:43.119><c> it</c>

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of the ecosystem can use. Clavio uses it
 

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of the ecosystem can use. Clavio uses it
to<00:01:43.439><c> improve</c><00:01:43.840><c> segmentation.</c><00:01:44.720><c> Conversion</c><00:01:45.200><c> rate</c>

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to improve segmentation. Conversion rate
 

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to improve segmentation. Conversion rate
uses<00:01:45.840><c> it</c><00:01:46.079><c> to</c><00:01:46.479><c> identify</c><00:01:46.880><c> friction.</c><00:01:47.600><c> Ads</c><00:01:47.920><c> will</c>

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uses it to identify friction. Ads will
 

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uses it to identify friction. Ads will
use<00:01:48.320><c> it</c><00:01:48.479><c> to</c><00:01:48.720><c> find</c><00:01:48.880><c> the</c><00:01:49.119><c> right</c><00:01:49.280><c> audiences.</c>

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use it to find the right audiences.
 

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use it to find the right audiences.
Analytics<00:01:50.720><c> uses</c><00:01:51.040><c> it</c><00:01:51.200><c> to</c><00:01:51.360><c> measure</c><00:01:51.840><c> rorowaz</c><00:01:52.399><c> and</c>

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Analytics uses it to measure rorowaz and
 

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Analytics uses it to measure rorowaz and
lifetime<00:01:53.119><c> value.</c><00:01:53.520><c> It</c><00:01:53.759><c> all</c><00:01:53.920><c> loops</c><00:01:54.240><c> back</c>

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lifetime value. It all loops back
 

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lifetime value. It all loops back
together.<00:01:54.960><c> Now</c><00:01:55.280><c> think</c><00:01:55.439><c> about</c><00:01:55.600><c> what</c><00:01:55.840><c> this</c><00:01:56.000><c> does</c>

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together. Now think about what this does
 

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together. Now think about what this does
inside<00:01:56.560><c> the</c><00:01:56.799><c> digital</c><00:01:57.119><c> ecosystem.</c><00:01:57.840><c> A</c><00:01:58.159><c> customer</c>

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inside the digital ecosystem. A customer
 

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inside the digital ecosystem. A customer
comes<00:01:58.719><c> in,</c><00:01:59.040><c> the</c><00:01:59.280><c> system</c><00:01:59.600><c> tracks</c><00:02:00.000><c> their</c>

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comes in, the system tracks their
 

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comes in, the system tracks their
behavior<00:02:00.880><c> accurately.</c><00:02:01.680><c> They</c><00:02:01.920><c> purchase</c><00:02:02.479><c> that</c>

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behavior accurately. They purchase that
 

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behavior accurately. They purchase that
data<00:02:03.119><c> strengthens</c><00:02:03.600><c> your</c><00:02:03.759><c> lookalike</c>

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data strengthens your lookalike
 

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data strengthens your lookalike
audiences.<00:02:04.880><c> They</c><00:02:05.119><c> engage</c><00:02:05.439><c> with</c><00:02:05.680><c> flows.</c>

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audiences. They engage with flows.
 

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audiences. They engage with flows.
Clavio<00:02:06.880><c> builds</c><00:02:07.360><c> richer</c><00:02:07.726><c> [music]</c><00:02:07.840><c> profiles.</c>

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Clavio builds richer [music] profiles.
 

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Clavio builds richer [music] profiles.
Your<00:02:08.879><c> ads</c><00:02:09.200><c> then</c><00:02:09.520><c> use</c><00:02:09.759><c> those</c><00:02:10.080><c> profiles</c><00:02:10.640><c> to</c>

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Your ads then use those profiles to
 

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Your ads then use those profiles to
target<00:02:11.280><c> people</c><00:02:11.599><c> who</c><00:02:11.920><c> look</c><00:02:12.160><c> like</c><00:02:12.319><c> your</c><00:02:12.560><c> best</c>

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target people who look like your best
 

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target people who look like your best
customers.<00:02:13.360><c> Your</c><00:02:13.680><c> website</c><00:02:14.080><c> uses</c><00:02:14.400><c> the</c><00:02:14.560><c> data</c>

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customers. Your website uses the data
 

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customers. Your website uses the data
layer<00:02:15.120><c> to</c><00:02:15.360><c> improve</c><00:02:15.760><c> user</c><00:02:16.160><c> experience</c><00:02:16.720><c> and</c>

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layer to improve user experience and
 

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layer to improve user experience and
conversions.<00:02:17.920><c> Every</c><00:02:18.160><c> part</c><00:02:18.400><c> of</c><00:02:18.480><c> the</c><00:02:18.720><c> ecosystem</c>

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conversions. Every part of the ecosystem
 

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conversions. Every part of the ecosystem
benefits.<00:02:20.000><c> Every</c><00:02:20.239><c> part</c><00:02:20.400><c> gets</c><00:02:20.720><c> sharper</c><00:02:21.120><c> and</c>

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benefits. Every part gets sharper and
 

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benefits. Every part gets sharper and
every<00:02:21.599><c> part</c><00:02:21.920><c> grows</c><00:02:22.400><c> together.</c><00:02:22.879><c> This</c><00:02:23.040><c> is</c><00:02:23.200><c> why</c>

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every part grows together. This is why
 

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every part grows together. This is why
the<00:02:23.520><c> data</c><00:02:23.840><c> brain</c><00:02:24.160><c> is</c><00:02:24.400><c> so</c><00:02:24.640><c> important</c><00:02:25.200><c> because</c>

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the data brain is so important because
 

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the data brain is so important because
without<00:02:25.760><c> it</c><00:02:26.000><c> the</c><00:02:26.239><c> ecosystem</c><00:02:26.720><c> is</c><00:02:26.959><c> blind.</c><00:02:27.520><c> With</c>

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without it the ecosystem is blind. With
 

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without it the ecosystem is blind. With
it,<00:02:28.080><c> the</c><00:02:28.319><c> ecosystem</c><00:02:28.959><c> becomes</c>

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it, the ecosystem becomes
 

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it, the ecosystem becomes
self-correcting<00:02:30.319><c> and</c><00:02:30.640><c> self-improving.</c><00:02:31.840><c> And</c>

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self-correcting and self-improving. And
 

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self-correcting and self-improving. And
this<00:02:32.160><c> is</c><00:02:32.319><c> also</c><00:02:32.560><c> why</c><00:02:32.800><c> brands</c><00:02:33.120><c> that</c><00:02:33.519><c> ignore</c>

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this is also why brands that ignore
 

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this is also why brands that ignore
tracking<00:02:34.319><c> get</c><00:02:34.560><c> stuck.</c><00:02:34.959><c> They</c><00:02:35.200><c> scale</c><00:02:35.440><c> to</c><00:02:35.599><c> a</c>

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tracking get stuck. They scale to a
 

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tracking get stuck. They scale to a
point<00:02:36.080><c> and</c><00:02:36.319><c> then</c><00:02:36.560><c> everything</c><00:02:37.040><c> stalls.</c><00:02:37.680><c> Their</c>

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point and then everything stalls. Their
 

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point and then everything stalls. Their
ads<00:02:38.160><c> stop</c><00:02:38.400><c> performing.</c><00:02:39.120><c> Their</c><00:02:39.166><c> [music]</c>

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ads stop performing. Their [music]
 

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ads stop performing. Their [music]
rorowaz<00:02:39.920><c> becomes</c><00:02:40.560><c> impossible</c><00:02:41.120><c> to</c><00:02:41.360><c> measure.</c>

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rorowaz becomes impossible to measure.
 

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rorowaz becomes impossible to measure.
Their<00:02:42.480><c> decision-m</c><00:02:43.280><c> becomes</c><00:02:43.680><c> emotional</c>

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Their decision-m becomes emotional
 

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Their decision-m becomes emotional
instead<00:02:44.640><c> of</c><00:02:44.879><c> statistical.</c><00:02:45.680><c> They</c><00:02:45.920><c> grow</c>

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instead of statistical. They grow
 

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instead of statistical. They grow
sideways<00:02:47.040><c> instead</c><00:02:47.440><c> of</c><00:02:47.680><c> upwards.</c><00:02:48.480><c> But</c><00:02:48.640><c> when</c>

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sideways instead of upwards. But when
 

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sideways instead of upwards. But when
the<00:02:48.959><c> digital</c><00:02:49.280><c> ecosystem</c><00:02:50.000><c> has</c><00:02:50.319><c> accurate</c><00:02:50.800><c> data,</c>

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the digital ecosystem has accurate data,
 

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the digital ecosystem has accurate data,
scaling<00:02:52.000><c> can</c><00:02:52.400><c> become</c><00:02:52.720><c> predictable.</c><00:02:53.599><c> You</c><00:02:53.760><c> can</c>

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scaling can become predictable. You can
 

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scaling can become predictable. You can
see<00:02:54.160><c> exactly</c><00:02:54.560><c> where</c><00:02:54.879><c> opportunities</c><00:02:55.599><c> are,</c>

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see exactly where opportunities are,
 

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see exactly where opportunities are,
exactly<00:02:56.640><c> where</c><00:02:56.959><c> bottlenecks</c><00:02:57.519><c> are,</c><00:02:58.000><c> and</c>

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exactly where bottlenecks are, and
 

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exactly where bottlenecks are, and
exactly<00:02:58.720><c> how</c><00:02:58.879><c> to</c><00:02:59.040><c> push</c><00:02:59.280><c> the</c><00:02:59.519><c> whole</c><00:02:59.760><c> system</c><00:03:00.480><c> to</c>

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exactly how to push the whole system to
 

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exactly how to push the whole system to
the<00:03:00.879><c> next</c><00:03:01.040><c> level.</c><00:03:01.760><c> So</c><00:03:01.920><c> that's</c><00:03:02.159><c> the</c><00:03:02.400><c> foundation</c>

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the next level. So that's the foundation
 

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the next level. So that's the foundation
of<00:03:02.959><c> this</c><00:03:03.200><c> video.</c><00:03:03.599><c> Data</c><00:03:04.000><c> isn't</c><00:03:04.319><c> just</c>

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of this video. Data isn't just
 

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of this video. Data isn't just
reporting.<00:03:05.360><c> It's</c><00:03:05.599><c> not</c><00:03:05.760><c> just</c><00:03:06.000><c> analytics.</c><00:03:06.879><c> It's</c>

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reporting. It's not just analytics. It's
 

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reporting. It's not just analytics. It's
the<00:03:07.280><c> intelligence</c><00:03:08.080><c> layer</c><00:03:08.319><c> that</c><00:03:08.640><c> powers</c><00:03:09.040><c> the</c>

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the intelligence layer that powers the
 

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the intelligence layer that powers the
ecosystem's<00:03:10.080><c> ability</c><00:03:10.400><c> to</c><00:03:10.640><c> learn,</c><00:03:11.200><c> adapt,</c><00:03:11.840><c> and</c>

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ecosystem's ability to learn, adapt, and
 

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ecosystem's ability to learn, adapt, and
grow<00:03:12.720><c> exponentially.</c><00:03:13.227><c> [music]</c><00:03:13.599><c> In</c><00:03:13.840><c> the</c><00:03:14.000><c> next</c>

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grow exponentially. [music] In the next
 

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grow exponentially. [music] In the next
video,<00:03:14.720><c> I'm</c><00:03:14.959><c> going</c><00:03:15.040><c> to</c><00:03:15.120><c> take</c><00:03:15.360><c> all</c><00:03:15.519><c> this</c>

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video, I'm going to take all this
 

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video, I'm going to take all this
accurate<00:03:16.239><c> data</c><00:03:16.800><c> and</c><00:03:17.040><c> show</c><00:03:17.200><c> you</c><00:03:17.360><c> how</c><00:03:17.519><c> we</c><00:03:17.680><c> use</c><00:03:17.760><c> it</c>

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accurate data and show you how we use it
 

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accurate data and show you how we use it
for<00:03:18.159><c> conversion</c><00:03:18.640><c> rate</c><00:03:18.959><c> optimization.</c>

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for conversion rate optimization.
 

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for conversion rate optimization.
Basically,<00:03:20.400><c> how</c><00:03:20.560><c> we</c><00:03:20.800><c> optimize</c><00:03:21.280><c> the</c><00:03:21.519><c> shopping</c>

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Basically, how we optimize the shopping
 

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Basically, how we optimize the shopping
experience,<00:03:22.800><c> improve</c><00:03:23.280><c> conversions,</c><00:03:24.159><c> and</c>

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experience, improve conversions, and
 

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experience, improve conversions, and
extract<00:03:24.959><c> more</c><00:03:25.200><c> value</c><00:03:25.519><c> from</c><00:03:25.760><c> every</c><00:03:26.080><c> visitor</c>

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extract more value from every visitor
 

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extract more value from every visitor
who<00:03:26.800><c> enters</c><00:03:27.040><c> the</c><00:03:27.280><c> ecosystem.</c>