Minimal impacts to Kochava and what marketers need to know

On January 4, Google began rolling out third-party cookie deprecation by default for 1% of Chrome users. For perspective, Chrome commands a 63% global web browser market share, with some 3.2 billion users⁽¹⁾. According to Google’s announcement, this action is being implemented to facilitate testing ahead of a full roll-out in Q3 2024, when the change will be in effect for 100% of Chrome users.

Other browsers, including Apple’s Safari and Mozilla’s Firefox, have already introduced privacy-driven initiatives that limit the use and application of third-party cookies; however, complete deprecation still remained on a distant horizon. That’s changing here in 2024.

Additionally, third-party cookies enabled advertisers to measure metrics such as click-through rates, conversions, and attribution across devices and sites, providing visibility into how users interacted with ads across the customer journey. This helped optimize campaigns for higher return on investment.

Publishers leveraged third-party cookies to serve interest-based ads on their sites, retarget prior visitors, and measure ad engagement, using the data to maximize yield from their ad revenue.

In recent years, increasing privacy legislation and browser restrictions have limited the capabilities of third-party cookies. As the industry transitions, alternative privacy-focused solutions are emerging for audience targeting, personalization, and measurement.

How do these changes affect the measurement and attribution solutions provided by Kochava?

Kochava and Third-Party Cookie Deprecation

The attribution methodologies employed by Kochava for its measurement solutions do not rely on third-party cookies. To perform attribution of conversion outcomes back to ad campaigns, Kochava leverages the following:

• Device identifiers—gathered with user consent and in compliance with applicable policies of the respective device operating systems (OS)
• Authenticated partner attribution APIs—common with self-attributing networks to support deterministic and/or modeled conversion attribution
• Install referrer solutions—available across a variety of app stores (Google Play, Samsung, Huawei) and certain publishers (Meta)
• Privacy-first measurement frameworks—SKAdNetwork on iOS; upcoming Privacy Sandbox on Android
• Probabilistic and/or contextual device metadata—configurable by the end advertiser based on chosen privacy settings across platforms, devices, and partners
• Third-party identity graphs—via partnerships with Blockgraph and other third-party identity/household graph providers
• Aggregated, market-level data—leveraged as a privacy-first input for marketing mix modeling (MMM) solutions such as AIM by Kochava

While Kochava attribution functionality is not affected, it’s important to understand the impact on your mobile web-based campaigns. We recommend communicating with the ad networks, demand-side platforms, and/or super publishers you run mobile web-based campaigns with to understand how their ad targeting, retargeting, and/or optimization capabilities may be impacted.

Stay Updated

Subscribe to our newsletter for ongoing updates on industry developments. For specific questions about your Kochava account, please contact your client success manager or email Support@Kochava.com for any specific questions.

Android-specific measurement solution benefits advertisers

App install reporting on Meta Android Campaigns is improving within Kochava. Our integrations team has been working closely with Meta on the implementation of a new solution called Meta install referrer, and we are excited to announce that support is live as of January 5, 2024. We are now able to share install-level reporting on additional measurement use cases for clients who choose to leverage this solution.

What Is Meta Install Referrer?

Meta install referrer is an Android-specific measurement solution designed to help attribute ad views and clicks to the correlating app download. This means that it supports same-session click-through attribution as well as use cases unsupported by Google Play Install Referrer: most view-through attribution and cross session click-through attribution.

What Is the User Flow?

When a user views or clicks on an advertiser’s app install ad on Meta’s app (i.e., Facebook or Instagram), Meta’s app encrypts and logs the relevant ad campaign metadata in the Meta app’s local storage layer on-device.

Once the resulting install completes and the user first opens the app, the Kochava Android software development kit (SDK) reads Meta install referrer data from the local storage layer on-device and uses it for install attribution.

How Does Meta Install Referrer Help?

Advertisers will now see a more complete performance picture for their Meta Android Campaigns. It’s anticipated that the volume of unattributed installs in your reports will reduce and instead report as view-through or cross session click-through installs.

How to Use Meta Install Referrer with Kochava

Minimum Android SDK Version
To use Meta install referrer for your Android app(s), you need to be using Kochava Android SDK version 5.1.0 or higher. Please see the Meta/Facebook entry under the Additional Steps section of this support document.

Inputting Your Install Referrer Decryption Key
To enable decryption of Meta Install Referrer payloads, be sure to follow the steps outlined in this support document to input your Install Referrer Decryption Key. For Meta install referrer, there are two steps:

1. Your application development team needs to acknowledge the on-device connection between our and Meta’s client-side tech. Simply follow these steps on your next application submission to Google Play (or respective Android APK location).

2. Kochava leverages the same process used for Google Play Install Referrer, which involves a decryption key. If you already entered this key to support Google Play Install Referrer per this support document, you do not need to repeat these steps.

Please note that the Kochava attribution waterfall uses only one of the three attribution methods across Meta install referrer, Google Play Install Referrer, and self-attributing network claims—ensuring that both aggregate and user-level output do not contain duplication.

These new install-level reports are available both through Kochava install detail reports and Kochava Query within the installs_primary table.

FAQs Answered by Meta

Is there support for iOS?
No, iOS does not have an equivalent to the Meta install referrer mechanism.

When is Meta install referrer applicable for attribution?

• Install attribution
  • Click-through attribution for all campaigns
  • View-through attribution for all Advantage+ App Campaigns and Manual App Promotion Campaigns with broad targeting (e.g., where age, gender are set to “default).
• Google Play Store and 3rd party app stores
• Does not include campaigns redirecting to landing pages

How does Meta define broad targeting?
Broad targeting is required to receive view-through install data. You can find the supported campaign configuration below:

• Age: Default setting (18-65+) is applied
• Gender: Default setting (All genders) is applied.
• Location: Country groups, countries are all supported.
  • Note: For more targeted locations (such as cities or zip codes), if the campaign uses inclusion targeting with any of these, it would need to be set as relaxed.
• Detailed Targeting: Interest segments, behaviors, advanced demographics are set as relaxed.
• Custom Audiences: Set as relaxed.
  • By relaxed, we mean that the following box should be ticked in ad campaigns:

For additional questions, please connect with your Meta account representative. If you need help checking your configuration in Kochava, please contact your client success manager or email support@kochava.com.

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Partnership rooted in shared values and industry expertise to deliver an elevated standard of client service

Through this new partnership with AppSamurai, which is a one-stop-shop AdTech platform for user acquisition & mobile growth; enabling mobile advertisers to strategically acquire new users for their app from a broad spectrum of mobile placements including DSP & App Discovery (OEM). AppSamurai’s growth consultants are equipped with a deep understanding of the Kochava dashboard and attribution structure. This commitment positions the AppSamurai team as seasoned experts uniquely equipped to provide clients with superior insights and support. The trust, user acquisition proficiency, rich supply capabilities, and technical consultancy that AppSamurai’s platform provides its partners has expanded its reach.

“This strategic partnership with Kochava aligns seamlessly with our commitment to providing unparalleled growth solutions for advertisers,” said Osman Soysal, Managing Director, AppSamurai. “I am particularly excited about the synergy between our comprehensive growth solutions, including AppSamurai DSP, App Discovery (OEM), and AppSamurai for Games, and Kochava’s robust MMP capabilities.”

The Best Choice for Mobile Growth

AppSamurai empowers marketers to reach intended audiences seamlessly using diverse channels, including:

• Precise user acquisition strategy with focused targeting
  • Performance-based, Programmatic DSP inventory & App Discovery via OEMs on partners like Samsung—craft tailor-made user acquisition initiatives aligned with your app’s objectives, audience preferences, and KPIs.</live
• Efficient budget allocation for optimal outcomes
  • Harnessing the potential of machine learning, AppSamurai streamlines your campaign budgets, curbing your acquisition costs and amplifying your ROI.
  • Beyond their cutting-edge technology for campaign optimization and ad fraud prevention, AppSamurai’s seasoned growth consultants stand by your app’s side, ensuring consistent expansion and providing guidance amidst the competitive user acquisition landscape.

AppSamurai’s optimization mechanism guarantees the prudent allocation of your budget toward the users who genuinely matter to you. Together, AppSamurai and Kochava will deliver an unparalleled service boosted by trust, experience, and a shared dedication to excellence.

“We believe AppSamurai’s growth solutions and Kochava’s MMP strength will deliver exceptional value to advertisers and contribute to their mobile success,” continued Soysal.

How do you become a Kochava Authorized Partner?

If you’re an agency interested in becoming a Kochava Authorized Partner, please contact us today. The process involves a series of educational Discovery Sessions on various topics, including:

• Measurement & Attribution*
• Fraud Prevention
• User Engagement
• Deep Linking
• iOS 14.5+ and SKAdNetwork
• Apple Search Ads
• Identity Solutions
• MediaLift
• OTT and CTV

*Measurement & Attribution session required, plus two additional sessions selected by the agency. Once agencies become a Kochava Authorized Partner, they will be listed as such in the Kochava Media Index, the largest advertising database in the world.

‘Twas the Night Before Techmas: 2024 Tech Predictions

It’s the night before Techmas, and as tech leaders settle down for a long winter’s nap, visions of the year to come dance in their heads. As you cozy up with your smart blanket and tell your voice assistant to dim the lights, here are a few predictions to ponder from Kochava’s experts as you wait for the year to come — the future is looking bright!

Charles Manning, Founder & CEO, Kochava
Digital marketing trends that will define 2024

“We believe that the advertising industry will be one of the first at-scale impacted industries through the use of AI and related models. LLM’s are now well known across verticals as being an assist for text, image, and now video-based creations, but much of it is consumer-facing novelty.”

“2024 will be marked as the year that AI, applied to advertising efforts, using privacy-safe models that are trained on first-party data, will be the difference maker on activating and optimizing winning advertising campaigns. Kochava is incorporating AI into our own SaaS stack to apply AI in each of the modules and offerings we deliver which is transforming the way marketers plan, target, activate, measure, optimize and re-target their campaigns.”

Ethan Lewis, CTO, Kochava
Key trends in disruptive technologies for business innovation in 2024

“Enhancing developer experiences, leveraging AI for intelligent applications, democratizing access to advanced technologies, and adapting to regulatory changes in the app store landscape, will fundamentally help organizations rapidly transform and improve their business.”

“Shifts from procedural features to AI-driven predictions and recommendations, tailoring apps to users and advancing data-driven decision-making, will transform the experience for customers, users, product owners, architects, and developers.”

Mark Kellogg, Senior Product Manager, Kochava
The direction of measurement in 2024

“The inclusion of LLM’s into products will rapidly increase productivity, delivery and speed to market, impacting every component of the tech stack from creative assets management to performance and outcomes reporting. The trick will be capturing and maintaining attention with so much noise being introduced into the market.”

“Decreasing the availability of granular, device level data that is shareable between developers/service providers will continue to emphasize the importance of 1st party data collection and proper usage. The opportunity will be in the co-mingling of these 1p datasets together in either sophisticated aggregations or DCR-esque technologies. There are currently several DCR solutions, but I predict progress toward consolidation around only a couple.”

Grant Simmons, VP, Kochava Foundry
The future of the mobile adtech ecosystem in 2024

“There’s an underlying trend on major ecosystem platforms: a movement towards enhancing user privacy. Apple has taken a more direct approach, putting users in the driver’s seat, by asking users for consent. Google is pursuing a more gradual and less disruptive path for its advertising ecosystem. They are looking to phase out third-party cookies and identifiers while introducing new tools that balance user privacy with advertisers’ needs.

“For advertisers, this means adapting to a world where user consent and privacy-preserving methods of advertising are paramount. The success of mobile acquisition strategies will increasingly depend on the ability to respect user privacy choices while providing value and relevance in advertising.”

Gary Danks, GM, AIM by Kochava
DIgital marketing trends on the rise into 2024

“In 2024 where data privacy is rapidly evolving and creating more signal loss, Marketing Mix Modeling (MMM) emerges as a critical tool for marketers. Unlike traditional Touch Attribution models, MMM exceeds the limitations of user-level data analysis, aligning perfectly with a privacy-first ecosystem. It offers a holistic view of the marketing landscape, interweaving all channels to provide a comprehensive picture of investment returns. This advanced approach empowers marketers with a wealth of insights for more strategic, informed decision-making.”

“What sets MMM apart is its ability to dissect the entire marketing mix, assigning precise value to each component’s influence on the final sale. This nuanced understanding surpasses the traditional models, which often credit 100% value to a single touchpoint. This probabilistic approach to measurement offers strategic insights, ensuring that every media investment decision is backed by robust, data-driven intelligence. In 2024, MMM is not just an option; it’s an imperative for forward-thinking marketers aiming to stay ahead in a privacy-centric, ever-evolving marketplace.”

Hamilton Radcliffe, GM, Search Ads Maven by Kochava
The path forward with automation + AI

“AI-driven ASO solutions have already demonstrated an ability to significantly reduce the amount of time it takes to complete a successful campaign. As mobile continues to dominate the digital space, tools like these will become increasingly critical for marketers looking to maximize return on investment.”

“The future of winning in app store optimization is a creative combination of the ASO AI and transparent, exceedingly configurable automation. It’s going to make marketers more efficient and help them see the data more clearly, quickly coming up with creative ideas that work.”

Leverage the opportunity of post-holiday engagement with Q5

All I want for Christmas is my two front teeth and an increased ROI.

Advertisers and marketers alike will soon face Q5. This elusive fifth quarter is not a traditional part of the calendar year but rather represents the period after Christmas until mid-January. It’s a time when consumers are often more relaxed, off work, and spending a significant amount of time on their devices, making it ripe with opportunities for brands.

Q5: A Hidden Cash Cow

This period is characterized by high digital engagement but often lower competition in ad spaces, as many companies have wrapped up their holiday campaigns. Consumers are armed with new devices and gift cards, making them eager to download apps and make purchases. They’re also likely to spend more time exploring their new smart TVs and streaming devices, making this a perfect time for brands to increase their campaigns’ reach.

Consumer Activity and Mobile Apps

• 67% of TikTok users are likely to spend the same amount or more time downloading apps in Q5 compared to a typical week.
• 79% of TikTok users are likely to continue shopping in Q5.
• Meta’s CPM dropped 37% in Week 51, a decrease from its average CPM of $9.75 during Black Friday week (Week 47).
• X experienced a 27% decrease in the average cost-per-conversion and a 5% decrease in the average CPM during Q5.
• Between December 26 and mid-January, Instagram’s CPM experienced a 33% decline.
• In 2022, 70% of holiday shoppers planned to shop the week after Christmas.

How to Leverage Q5

To capitalize on this unique opportunity, mobile and CTV marketers should consider the following strategies:

Time Your Campaigns: Launch campaigns that coincide with the onset of Q5. Users are often in a festive mood and more receptive to trying new apps or services.

Tailor Messaging: Create messaging that resonates with the post-holiday spirit. Highlight relaxation, entertainment, and the joy of new beginnings to align with the mood of the season.

Create Promotional Offers: Introduce special Q5 promotions to entice users to engage with your app or service. This could include rare discounts, extended free trials, or exclusive content.

Leverage New Devices: With many consumers getting new phones or CTV devices for the holidays, ensure your app or content is optimized for these platforms and prominently featured in app stores and marketplaces.

Retarget and Re-engage: Retargeting is also crucial in Q5. Re-engage users who may have installed your app but not used it or those who have interacted with your brand but not converted. Personalized retargeting campaigns can lead to higher engagement and conversion rates.

Case in Point: New iPhones and Apple Search Ads (ASA)

With the holiday season comes a surge of new iPhone activations, as users set up their devices and rush to the App Store to discover and install apps. While many brands exhaust their holiday budgets during Black Friday, Cyber Monday, and the lead-up to Christmas, those who allocate a budget for the post-holiday period can tap into fresh opportunities, particularly within ASA. Consider setting aside a portion of your budget for these strategies:

1. Increase Budgets Temporarily: Anticipate an influx of new iOS users and adjust your budgets to ensure your ads maintain visibility during this high-activation period.
2. Adjust Targeting for New Device Models: Target users who have recently activated the latest iPhone models, as they may be more likely to engage with new apps.
3. Bid on Generic Keywords: Users with new devices may not have specific apps in mind, so bidding on generic terms related to your app’s function can help you capture this audience.
4. Highlight App Features in Ad Copy: Make ad copy compelling and highlight unique features or benefits that can attract new users looking to populate their devices with useful apps.
5. Leverage Apple Search Match: Use Apple’s Search Match feature to match your ad with relevant search terms, capturing a broader range of users.
6. Refresh Creative Assets: Ensure that your ad creatives are updated and resonate with the New Year’s mindset, possibly incorporating themes of the holidays, new beginnings, and resolutions.

Case in Point: Preload Campaigns on Android

Preload campaigns aren’t an option on iOS devices, but for certain app verticals on Android, they can be quite successful. A number of ad networks offer preloads as a campaign type, enabling you to work with original equipment manufacturers (OEMs) and/or wireless carriers to highlight your app on the users’ screen in an ideal placement during device installation—potentially increasing your daily install volume multifold. Here are some recommendations to take into account:

1. Target Device Types of Historically High-Value Users: If you have existing app analytics in place, you should have an understanding of how the user’s device type (e.g. flagship phone vs. budget phone) impact user engagement, retention, and lifetime value (LTV). Work with your preload partner to target your preload campaigns toward device types that produce high-LTV users.
2. Optimize App Onboarding: Ensure that the first-time user experience in your app is smooth and engaging, as this can significantly impact user retention rates. A positive onboarding experience can encourage new users to keep the app installed and use it regularly.
3. Leverage In-App Promotions: Introduce special offers exclusive to the Q5 period. This can incentivize users to engage more deeply with a preloaded app.
4. Customize Messaging: Tailor your app’s welcome messages and push notifications to reflect the festive season and the spirit of new beginnings associated with the New Year.
5. Monitor User Behavior: Use analytics to closely monitor how new users interact with your app. Look for patterns that indicate successful engagement and quickly iterate on aspects of the app that may not be performing as well.

Make Data-Driven Decisions

Make data analytics the cornerstone of your Q5 strategy. Utilizing a comprehensive measurement tool such as Kochava can empower your marketing team with deep insights necessary for success. By analyzing and interpreting user behavior patterns specific to this period, you have the opportunity to refine your campaigns, ensuring they resonate with your audience and deliver optimal results.

Unpacking key takeaways from Kochava’s recent AI webinar

In a recent dynamic webinar on Generative AI’s potential within AdTech, an expert ensemble discussed pivotal insights and perspectives. Let’s take a look at some key takeaways from the discussion.

Must-Know: AI Defined

To begin, Ethan Lewis, CTO at Kochava, provided clarity on what AI truly is—an approach to training computer systems to perform tasks that mimic human behavior. But it’s more than that: it converges mathematics, computer science, and cognitive science to simulate human intellect. Lewis smartly differentiated AI into ‘Narrow AI’; focused on specific tasks, and ‘Artificial General Intelligence’ (AGI) that can self-learn and explore new concepts—although largely theoretical at this point.

Large Language Models (LLMs): Opaque Monsters or Tools of Potential?

One question that came up was about the secrecy surrounding large language models (LLMs). Lewis clarified that these models are essentially black boxes—their internal workings are not well understood due to their complexity and the billions of parameters involved in their operation. This lack of transparency, according to Lewis, indeed poses a unique challenge. However, he also pointed out that leveraging LLMs is an essential part of integrating AI into AdTech.

AI In Real-World AdTech

Katie Darren, Manager of Client Analytics at Kochava, noted a number of existing applications of AI, including machine learning. She detailed Kochava’s long-standing predictive churn modeling that leverages learnings from the first seven days of user engagement post-install to anticipate how that user will behave in a customer’s app for the subsequent 30 days. These insights, in turn, prime better marketing responses, especially when coupled with channel and campaign attribution. Marketing dollars can readily be optimized toward the channel partners, campaigns, and strategies that drive the highest engagement and user retention rates.

Mike Brooks, an AdTech investor and advisor, chimed in about the positive potential generative AI could have in real-world AdTech, particularly in media buying. All the experts collectively acknowledged the potential for generative AI to glean deeper insights about customers through generated content and analyze vast amounts of data to optimize advertising campaigns quicker and smarter.

Drawing the Fine Line: Brand Guidelines and AI

All excitement aside, the road to AI liberation isn’t without bumps. Brooks expressed reservations about generative AI’s potential to infringe brand guidelines and dilute brand identities. One solution is training AI on brand guidelines to ensure compliance and always maintaining human checkpoints along the way. Emphasis was also put on implementing ethical practices, such as citing, tracking, and watermarking generated content to ensure brand authenticity and transparency on the use of AI.

Hamilton Radcliffe, GM of Search Ads Maven at Kochava, further spotlighted success quantification issues while using AI for marketing, emphasizing the need for clear success criteria and direction. Nonetheless, Radcliffe sees a future where businesses could focus more on their primary goals while the menial, mundane marketing tasks take care of themselves through AI-driven automation.

The Promise of Generative AI in Marketing

Despite their concerns, the speakers were optimistic about the paradigm-shifting potential of generative AI in marketing, enabling marketers to learn more about their customers and better tailor advertising strategies accordingly. A particular question from the audience fueled this discussion by pondering whether generative AI could trigger a substantial uptake in multivariate testing for all elements of ad campaigns. Boosting the point, Mike Brooks added that research suggests the possibility of achieving scale faster using AI, having more efficient testing, and wasting fewer impressions.

The speakers all agreed that over the next 6 to 12 months, creative roles would see a seismic shift. The capacity to generate various content forms and personalized recommendations is set to be a key driver of marketing operations.

The Future of AI in AdTech

Generative AI holds unfathomable promise for the future of AdTech and marketing, with its potential to revolutionize creative applications, customer interaction, and campaign optimization. However, brand guidelines and ethical considerations need to stay at the forefront of this technological push for balance and sustainability. Rest assured, it’s a thrilling new chapter that’s only just beginning to be written. Brooks had thought-provoking advice for SMBs looking to get their feet wet with AI: leverage larger companies who’ve already paved the way in adopting AI into their platforms.

Kochava, as an example, recently added an AI Prompt to its platform in order to allow marketers to more easily and quickly extract insights from their marketing data. Learn more about Kochava AI Prompt here.

How are you planning to work generative AI into your marketing workflows? Get in touch with us to see how we can help.

Catch the Full Webinar On Demand

Our on-demand webinar, “Generative AI’s Explosive Potential in AdTech“, is available now! Hear the entire discussion directly from seasoned industry professionals about the potential and challenges of AI. Don’t miss this opportunity to enhance your understanding and apply these insights directly to your digital marketing strategies. Don’t just keep pace with the industry; set it.

The North Face’s ascent to optimized measurement

The North Face, a globally recognized brand under the VF Corporation, has a robust international footprint in the retail sector. Their eCommerce app rewards users with loyalty points through the XPLR Pass program, creating a dynamic and engaging shopping experience. However, with such a diverse range of brand entities, The North Face faced a significant challenge: efficiently consolidating data from multiple media channels and in-app events into a single platform.

The Solution: Measurement & Attribution with Kochava

The Impact: Consolidated Media Channels and Increased User Acquisition

The North Face has successfully consolidated all paid and owned media channels onto a single, unified platform, enhancing data integrity and providing valuable insights into the origins of their most devoted clientele. Armed with a comprehensive overview of campaign performance, they can readily identify the top-performing channels and in-app events that foster the most impactful growth.

Within a span of 60 days, The North Face witnessed an impressive 41% surge in new user acquisition and more than a 60% increase in app users who joined the XPLR pass program through their owned media channels, showcasing consistent month-over-month growth and an overall boost in-app engagement.

The Power of Effective Owned Media Measurement

By leveraging Kochava’s solutions, The North Face was able to streamline their data, gain valuable insights, and ultimately drive significant growth in their user base and loyalty program. Inspired by The North Face’s success story? Explore Kochava’s comprehensive suite of mobile measurement solutions today and see how they can help your business achieve similar results.

For a deeper dive into The North Face’s journey, you can access the full case study here.

AI Prompt Coming Soon, Samsung Cloud Gaming ID, TikTok Updates, BlockGraph support and more

AI Prompt – COMING SOON

For years, Kochava has leveraged AI and machine learning for advanced fraud detection and prevention, predictive churn modeling, and other applications.

Later this month, we will begin alpha testing for an AI Prompt tool with a select group of Kochava clients, followed by a general release. This AI Prompt tool is powered by a secure, enterprise connection to OpenAI and will enable marketers to converse with their universe of first-party data within Kochava, without needing to write or request sophisticated server query language (SQL) scripts to run through the Kochava Query prompter.

Marketers can ask simple questions from their data, and our AI model will craft custom queries that tap into their app installs & events, campaign attribution and performance outcomes, IdentityLink® inputs, and any other data point available across their Kochava account.

The possibilities are endless for how this technology can be utilized for more approachable campaign optimization insights, rapid KPI check-ins, customer segmentation, and beyond. It truly puts the power in the hands of customers to analyze their data in creative or customized ways without requiring an analyst.

Outreach will begin soon with a select group of customers for participation in the alpha test. Stay tuned for exciting updates on the general release to all Kochava Enterprise accounts.

Samsung’s new Cloud Gaming ID

Support was rolled out in full for Samsung’s new Cloud Gaming ID, enabling Kochava clients to benefit from this new identifier for insights into gamers leveraging the Samsung Game Launcher app. Game Launcher is preloaded on Samsung devices and has over 150M monthly active users and 7B+ monthly page views.

This identifier represents the GAID equivalent of a device, which is streaming remotely from another device. For example, if a user is streaming a game remotely, the ADID would normally originate from the remote machine where the app (and SDK) is running. This means all streaming users would share the same ADID of the remote machine. The new Cloud Gaming ID represents the client device connected to the remote machine, which is gathered by the SDK on the remote machine before making its way to Kochava or another mobile measurement partner. This facilitates new opportunities for attribution to gaming engagement streamed through Samsung’s mobile cloud gaming environment.

TikTok’s Self-Attributing Network Migration

Per our prior post, many Kochava customers opted in for the auto-migration to TikTok’s new self-attributing network (SAN) integration. Whether you were part of the auto-migration, or opted to handle it manually, be on the lookout for communication from your TikTok for Business representative on the next steps.

Here’s a timeline that TikTok has shared for what marketers can expect:

• September 25, 2023 – New apps that want to be on TikTok’s SAN module will be automatically allowlisted (previously they had to be added manually).
• November 1, 2023 – Any new apps must use the TikTok SAN integration (previously marketers had a choice between TikTok’s legacy or SAN integrations).
• December 31, 2023 – All apps should be transitioned to the TikTok SAN integration (this is TikTok’s goal; however, it will be evaluated on a case to case basis where necessary).
• March 20, 2024 – All apps must be running on the TikTok SAN integration. You can read TikTok’s formal guidance here.

If you have questions, please contact your TikTok for Business representative.

New partners and updated integrations

Below is a list of new partners that recently completed a first-time integration with Kochava, followed by existing partners that made updates to their integrations.

New Partner Integrations

500traffic
Ad2pedia
Adium Media
AdPiece
Adrollmedia
Ads in Action
Adschemistry
Adzbloom Advertising LLP2
Adzpressway
Aititude
APPLEADS LIMITED
Appreachmedia
Appsec Media
Aragma
ATT
Cash Shopy
Clickgency
CRTech
DigitalScoop

DigitalSpire
dooshmedia
Ekonic Ads
EnvisionX Digital
Flexi Mobile Ads
Growth Hackers
iCubesWire DSP
Key2plus Media
LiveTop Media
Livingnet Media
mindmagicmedia aff network
Moboost
NMRDigital
Offers Knife
Paytm
Pixelpulse
Podscribe
PromotionSquad
RAODIGITALMEDIA

RB MEDIA & WEB
ReEngagehub
SHEEPMOB
SkyMobi Corporation
SmartyAds
SOFI MOBI
Spectrum DIgital
Tanay
TCLUB
Topscore Ads
Toyoumobi
TRAFFIC NOMADS
TSpirit Digital
TsungAds
Upraiser LLC
Vedhamedia.com
versemedia
Vidmatic
Wallnut Media
Whatsmore Technologies

Updated Partner Integrations

Adglobi
Adomobi
Applovin
Atlas MMP
Bidease
Bidroid Hub Technologies Pvt Ltd
Change
Claymotion
Clearpier Performance
Digital Adz Hub
ecomobi_int
Flairly
Google Ads
GoogleIndCampaign
HicMobile
IGN
Impact

InMobi DSP
Instal US
Koneo
Koneo2
Maddict
MAGIXENGAGE PVT LTD
martyAds
Memob+
Mintegral
Moca
MOCA Global
MoEngage
MYAPPFREE
Naver performance display ad
Nextdoor Inc.
Paddlwaver
Performance Launchpad

Petal Ads
Peyops
Pixelpulse
Reclame digital media
Resilience Esports
RevX
Smadex
SOFI MOBI
Tappx
TikTok for Business SAN
trafficsource.id
tvScientific
Twitter
Ventes Avenues
Vertoz
Yahoo!

If you’re an ad network, publisher, DSP, or other partner looking to integrate with Kochava, please contact Integrations@Kochava.com.
For a list of all integrated networks and publishers, click here.

Questions

If you have any questions regarding these updates, please contact your Client Success Manager or email support@kochava.com.

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