INKA Kludeln I Acquisition Corporation

Filed by KludeIn I Acquisition Corp. and Near Intelligence Holdings Inc.

Pursuant to Rule 425 under the Securities Act of 1933

and deemed filed pursuant to Rule 14a-12

of the Securities Exchange Act of 1934, as amended

Subject Company: KludeIn I Acquisition Corp.

Commission File No.: 001-39843

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The Data Storytellers - Bringing Your Data to Life Transcript

 

Are consumers flying or driving on vacation? Are they staying in hotels, campgrounds, or a friend’s home? Are they shopping online, in store, or both? Are they eating in or out? Are they resuming their behavior, or have they adopted new behavior? Smart, strategic decisions are based on the ability to answer key questions around consumer behavior. That’s where Near comes in.

 

For over 10 years, companies around the world have trusted us to provide insightful answers. We are the data storytellers bringing your data to life.

 

Our platform unites the marketers and operational leaders by providing the most accurate, reliable source of data. Our transparent approach means you will never doubt our authenticity.

 

We are determined to provide actionable insights as we work relentlessly to shape, build, and maintain the world’s largest source of intelligence on people, places, and products in both the physical and digital space.

 

Ultimately, our vision is to inspire the world to make better decisions. And to inspire ourselves to deliver the most trusted, privacy-led source of intelligence on people, places, and products. We will not rest until we get there.

 

Customer Testimonial - Yahoo! Australia - Transcript

 

Moderator:

 

Would you please share just a bit about your role and what you do at Yahoo APAC?

 

Dan Richardson:

 

My role across APAC is really to strengthen and build our commercial strategy all around data. So data is all encompassing these days. We have targeting insights, measurement, privacy, but ultimately, it’s about powering up omnichannel partnerships with other things like audience insight, segmentation, and testing strategies. So it’s quite hands on, but also really strategic as well. And my larger mandate is to really lead our commercial proposition and to help businesses identify new ways of reaching people. Particularly in environments where there is no identifier commonly referred to as the cookie-less or id-less world. So, my team really focuses in on building solutions for our platforms to help publishers, to help brands, to be more relevant, and be more accountable for their investment in environments both known and unknown.

 

Moderator:

 

How did you first hear about Near and our suite of marketing audience and measurement solutions?

 

 

Dan Richardson:

 

I’ll try to summarize as best as I can, and I think I’ll go back to 2019, early 2019. So, we knew that we needed to tap into points of interest data and that footfall particularly was of interest. Also location insights where people were going, human movement. So I created an RFI across the APAC region. We reviewed many suppliers or providers, and I think the Allspark platform was the best demonstration, the most usable, very polished. So we were really impressed with that. So that led to a proof of concept, which we ran with a major software and consumer electronics provider. And that was really interesting because from day one we really pushed Near to do new things. I think the example was we wanted to recapture people who were attending a B2B conference and then retarget them very quickly, which was quite new for the time. So that went well as a proof of concept and led into our RFI across the region. And I think we really settled in on Near due to coverage, the technology, and the willingness to collaborate and service us. So, to be a true partner. So that played out and then we entered our ANZED contract and then scaled up to APAC earlier this year. But throughout it’s just about collaboration and being up for the challenge, particularly with emerging channels and tracking changes and everything coming in, you’ve got to push the needle.

 

Moderator:

 

Why did you select near as a partner?

 

Dan Richardson:

 

One of the reasons, ultimately, why we selected Near as a partner is because our proposition at Yahoo in market is to bring in emerging channels particularly into the omnichannel toolkit. So whether that’s augmented reality, which is now largely web-based, which makes it easy to collect information, digital at home, connected TV, these things are no longer siloed channels. They’re incorporated into one platform for easy targeting, measurement, retargeting, all that sort of stuff. So not all those things were a capability immediately, but through persistence and testing, we were able to start and really growing our business. So if someone wants to invest in digital at home, then they’re going to have success if they can recapture that audience and retarget them with in-feed, display, or video or other types of things as well. So we’ve really been working hard on that. We have created a pretty slick operation’s workflow and we’re genuinely on the phone, or Slack, or working with Near on a day-to-day basis across ANZED and SEA, particularly now scaling out to the region. So I think some of the success stories for us, and we can go back a few years, is how we built that test and learn mindset into our client relationships. So a few big clients, particularly for ANZED were Officeworks, Big W, which is a big box store, and Tourism Tasmania. Now all of these brands are incorporating either augmented reality or digital at home or footfall into their campaigns. So with Officeworks, we placed a virtual Santa Claus in people’s living rooms so they could have a selfie with him. And this was great because no one wanted to go to Westfield shopping centers during Covid lockdowns, information for retargeting and then measured footfall and even onsite as well with Near. The same was for Big W. So they produced some outdoor play equipment, which you can’t even see the size of it in the store. It’s in a box. You can’t measure the scales. We used AR to place that in people’s backyard and when they engaged with that, we captured that on our sales, but also with Near and measured that through to site and footfall. And where we’re really seeing success now is in new verticals, automotive, and tourism particularly. How can we measure visitation to that location or distribution spent? With Tourism Tasmania, we are able to track with Near over 50% uplift in traffic to Tasmania in the off-season following exposure to ads. So it’s that type of thing, which is really a success story for us because it’s bringing in new verticals into our advertisers agreement and investment.

 

 

Moderator:

 

Where do we go from here in terms of our partnership together?

 

Dan Richardson :

Our aim for the partnership with Near is to keep pace with the evolution of emerging channels and supply. If you think about digital out of home coming through Southeast Asia, Hong Kong, other areas to be able to keep pace with that to measure and retarget. But also as we grow the partnership, our aim would be to go from manual to automated. So that means we keep a lot of the great custom insights work that’s happening, but we also make things easier. In fact, our motto is easy to buy for the Yahoo DSP. So that means in platform. So being able to queue up a digital at home, retargeting campaign, or maybe footfall lift and figure out how do we do that in the platform to compliment any sort of post-campaign measurement that’s happening. So that’s where our heads at for the next year or so.

 

Customer Testimonial - Coldwell Banker Commercial - Transcript

 

Moderator:

Tell us about your role at Coldwell Banker, the breadth of the team, and how you make it all work?

 

John McClelland:

 

Yeah, so I manage research services for Coldwell Banker Commercial Premier. That involves helping our brokers and their clients understand the marketplace-specific assets, areas and sub-markets. Data is the largest component of that and also telling the story with that data. So it can involve geographic information systems and other public and private data sources. We do the best we can to try to tell the story of a property either for positioning it on the market or dealing with investors and trying to understand their goals, and applying the data that provides them the answers to make them comfortable in making a decision.

 

Moderator:

 

What are some of the typical challenges or what are the use cases?

 

John McClelland:

 

The real estate market is very disaggregated. It’s heterogeneous. There’s a lot of moving parts to it and we work with a lot of the middle market and also private investors. Could be sometimes smaller, occasionally institutional size, but mostly that middle market is kind of where we’re at. They don’t have the capacity necessarily to be doing data analysis and research and writing at all times. They may not be in the market at all times either. There’s gaps where they’re just holding assets or plenty of moving parts.

 

So they may be working with their architects and engineers and their entitlement folks, the municipalities. They don’t have time or the capacity to do what we do, which is what our value add is. We’re always in the market doing something. They may be in and out of the market. So that’s where our resources come into play is we maintain the databases and the relationships with our software vendors and data purveyors. We’re always looking at the market and investigating things. So that’s really where our role comes into play, is helping people evaluate deals and projects, often from the land acquisition side all the way through stabilization and the sale.

 

 

Moderator:

 

How did you first hear about Near?

 

John McClelland:

 

Near was brought to us by our leadership on the brand side, and then they kind of disseminated that down to through the franchise levels. We were initially attracted to it, in part because we didn’t know a lot of those components of those packages even existed. In the industry, it’s been common that you’ve got, say it’s a retail site, and you’ll look at traffic numbers, traffic counts for automobiles. That’s often a basis for like step one of looking at a detail site. But that’s kind of like the stick figure on a napkin kind of a start to it. So what the Near products did for us is to really paint the picture of what else is going on over there. So instead of just drawing a contrived radius around something, we’re able to actually see, for example, what is a true sub-market for that shopping center or that triple net retail building.

 

Moderator:

 

What are the benefits or improvements that your team is realizing in their workflow over the past three years?

 

John McClelland:

 

Yeah, certainly it’s enhanced the efficiency, but it’s more than that, because I don’t think that we even had the ability to look at some of these things before we found you. So for example, on the affinities, or as I mentioned, the trade area, so there’s a specific example I was working on in northwest Las Vegas on a triple net retail project or site. Looking at some of the other stores around there, you could develop out what their trade area is with the mobile data. We can see where the patterns were, and it’s not something that you would necessarily know by instinct. You would think it would be one thing, but actually in reality, it turns out to be something else. That’s the key insight for us is the difference between assumption and knowledge. So in this case, we were able to determine that a store could be built here of that similar flag without it cannibalizing upon the other stores in the area. It wasn’t necessarily obvious. So that was a key insight.

 

Then we’ve been power using the products lately, because we’ve got a client that’s looking for multiple single-tenant retail buildings across different markets. Not necessarily markets, there’s some markets that we’re always looking in. So this is an easier, more efficient way to determine what the patterns look like at that site. So one of the reasons that’s important is because it helps reduce the amount of risk in the deal. So for example, if you got a similar capitalization rate for a similar tenant or maybe the same tenant, and the lease terms are similar, but in the mobile data, you can see that the traffic at this site is so much better. The trade area is wider. So you could say that when you’re underwriting those deals, you’re underwriting the tenant, but you’re also underwriting the site.

 

So that tells you that regardless of turnover in the tenant, you know that you’ve got a solid site on your hands, and you’re not really having to pay that much of a lower cap rate for it. Those specific tools, I don’t think we would have recognized that without it.