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Reading Time: 9 minutes In marketing, data isn’t a buzzword. It’s the lifeblood of all successful campaigns. But are you truly harnessing its power, or are you drowning in a sea of information? To answer this question (and many others), we sat down with Ankur Kothari, a seasoned Martech expert, to dive deep into this crucial topic. This interview, originally conducted for Chapter 6 of “The Customer Engagement Book: Adapt or Die” explores how businesses can translate raw data into actionable insights that drive real results. Ankur shares his wealth of knowledge on identifying valuable customer engagement data, distinguishing between signal and noise, and ultimately, shaping real-time strategies that keep companies ahead of the curve.   Ankur Kothari Q&A Interview 1. What types of customer engagement data are most valuable for making strategic business decisions? Primarily, there are four different buckets of customer engagement data. I would begin with behavioral data, encompassing website interaction, purchase history, and other app usage patterns. Second would be demographic information: age, location, income, and other relevant personal characteristics. Third would be sentiment analysis, where we derive information from social media interaction, customer feedback, or other customer reviews. Fourth would be the customer journey data. We track touchpoints across various channels of the customers to understand the customer journey path and conversion. Combining these four primary sources helps us understand the engagement data. 2. How do you distinguish between data that is actionable versus data that is just noise? First is keeping relevant to your business objectives, making actionable data that directly relates to your specific goals or KPIs, and then taking help from statistical significance. Actionable data shows clear patterns or trends that are statistically valid, whereas other data consists of random fluctuations or outliers, which may not be what you are interested in. You also want to make sure that there is consistency across sources. Actionable insights are typically corroborated by multiple data points or channels, while other data or noise can be more isolated and contradictory. Actionable data suggests clear opportunities for improvement or decision making, whereas noise does not lead to meaningful actions or changes in strategy. By applying these criteria, I can effectively filter out the noise and focus on data that delivers or drives valuable business decisions. 3. How can customer engagement data be used to identify and prioritize new business opportunities? First, it helps us to uncover unmet needs. By analyzing the customer feedback, touch points, support interactions, or usage patterns, we can identify the gaps in our current offerings or areas where customers are experiencing pain points. Second would be identifying emerging needs. Monitoring changes in customer behavior or preferences over time can reveal new market trends or shifts in demand, allowing my company to adapt their products or services accordingly. Third would be segmentation analysis. Detailed customer data analysis enables us to identify unserved or underserved segments or niche markets that may represent untapped opportunities for growth or expansion into newer areas and new geographies. Last is to build competitive differentiation. Engagement data can highlight where our companies outperform competitors, helping us to prioritize opportunities that leverage existing strengths and unique selling propositions. 4. Can you share an example of where data insights directly influenced a critical decision? I will share an example from my previous organization at one of the financial services where we were very data-driven, which made a major impact on our critical decision regarding our credit card offerings. We analyzed the customer engagement data, and we discovered that a large segment of our millennial customers were underutilizing our traditional credit cards but showed high engagement with mobile payment platforms. That insight led us to develop and launch our first digital credit card product with enhanced mobile features and rewards tailored to the millennial spending habits. Since we had access to a lot of transactional data as well, we were able to build a financial product which met that specific segment’s needs. That data-driven decision resulted in a 40% increase in our new credit card applications from this demographic within the first quarter of the launch. Subsequently, our market share improved in that specific segment, which was very crucial. 5. Are there any other examples of ways that you see customer engagement data being able to shape marketing strategy in real time? When it comes to using the engagement data in real-time, we do quite a few things. In the recent past two, three years, we are using that for dynamic content personalization, adjusting the website content, email messaging, or ad creative based on real-time user behavior and preferences. We automate campaign optimization using specific AI-driven tools to continuously analyze performance metrics and automatically reallocate the budget to top-performing channels or ad segments. Then we also build responsive social media engagement platforms like monitoring social media sentiments and trending topics to quickly adapt the messaging and create timely and relevant content. With one-on-one personalization, we do a lot of A/B testing as part of the overall rapid testing and market elements like subject lines, CTAs, and building various successful variants of the campaigns. 6. How are you doing the 1:1 personalization? We have advanced CDP systems, and we are tracking each customer’s behavior in real-time. So the moment they move to different channels, we know what the context is, what the relevance is, and the recent interaction points, so we can cater the right offer. So for example, if you looked at a certain offer on the website and you came from Google, and then the next day you walk into an in-person interaction, our agent will already know that you were looking at that offer. That gives our customer or potential customer more one-to-one personalization instead of just segment-based or bulk interaction kind of experience. We have a huge team of data scientists, data analysts, and AI model creators who help us to analyze big volumes of data and bring the right insights to our marketing and sales team so that they can provide the right experience to our customers. 7. What role does customer engagement data play in influencing cross-functional decisions, such as with product development, sales, and customer service? Primarily with product development — we have different products, not just the financial products or products whichever organizations sell, but also various products like mobile apps or websites they use for transactions. So that kind of product development gets improved. The engagement data helps our sales and marketing teams create more targeted campaigns, optimize channel selection, and refine messaging to resonate with specific customer segments. Customer service also gets helped by anticipating common issues, personalizing support interactions over the phone or email or chat, and proactively addressing potential problems, leading to improved customer satisfaction and retention. So in general, cross-functional application of engagement improves the customer-centric approach throughout the organization. 8. What do you think some of the main challenges marketers face when trying to translate customer engagement data into actionable business insights? I think the huge amount of data we are dealing with. As we are getting more digitally savvy and most of the customers are moving to digital channels, we are getting a lot of data, and that sheer volume of data can be overwhelming, making it very difficult to identify truly meaningful patterns and insights. Because of the huge data overload, we create data silos in this process, so information often exists in separate systems across different departments. We are not able to build a holistic view of customer engagement. Because of data silos and overload of data, data quality issues appear. There is inconsistency, and inaccurate data can lead to incorrect insights or poor decision-making. Quality issues could also be due to the wrong format of the data, or the data is stale and no longer relevant. As we are growing and adding more people to help us understand customer engagement, I’ve also noticed that technical folks, especially data scientists and data analysts, lack skills to properly interpret the data or apply data insights effectively. So there’s a lack of understanding of marketing and sales as domains. It’s a huge effort and can take a lot of investment. Not being able to calculate the ROI of your overall investment is a big challenge that many organizations are facing. 9. Why do you think the analysts don’t have the business acumen to properly do more than analyze the data? If people do not have the right idea of why we are collecting this data, we collect a lot of noise, and that brings in huge volumes of data. If you cannot stop that from step one—not bringing noise into the data system—that cannot be done by just technical folks or people who do not have business knowledge. Business people do not know everything about what data is being collected from which source and what data they need. It’s a gap between business domain knowledge, specifically marketing and sales needs, and technical folks who don’t have a lot of exposure to that side. Similarly, marketing business people do not have much exposure to the technical side — what’s possible to do with data, how much effort it takes, what’s relevant versus not relevant, and how to prioritize which data sources will be most important. 10. Do you have any suggestions for how this can be overcome, or have you seen it in action where it has been solved before? First, cross-functional training: training different roles to help them understand why we’re doing this and what the business goals are, giving technical people exposure to what marketing and sales teams do. And giving business folks exposure to the technology side through training on different tools, strategies, and the roadmap of data integrations. The second is helping teams work more collaboratively. So it’s not like the technology team works in a silo and comes back when their work is done, and then marketing and sales teams act upon it. Now we’re making it more like one team. You work together so that you can complement each other, and we have a better strategy from day one. 11. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations? We present clear business cases where we demonstrate how data-driven recommendations can directly align with business objectives and potential ROI. We build compelling visualizations, easy-to-understand charts and graphs that clearly illustrate the insights and the implications for business goals. We also do a lot of POCs and pilot projects with small-scale implementations to showcase tangible results and build confidence in the data-driven approach throughout the organization. 12. What technologies or tools have you found most effective for gathering and analyzing customer engagement data? I’ve found that Customer Data Platforms help us unify customer data from various sources, providing a comprehensive view of customer interactions across touch points. Having advanced analytics platforms — tools with AI and machine learning capabilities that can process large volumes of data and uncover complex patterns and insights — is a great value to us. We always use, or many organizations use, marketing automation systems to improve marketing team productivity, helping us track and analyze customer interactions across multiple channels. Another thing is social media listening tools, wherever your brand is mentioned or you want to measure customer sentiment over social media, or track the engagement of your campaigns across social media platforms. Last is web analytical tools, which provide detailed insights into your website visitors’ behaviors and engagement metrics, for browser apps, small browser apps, various devices, and mobile apps. 13. How do you ensure data quality and consistency across multiple channels to make these informed decisions? We established clear guidelines for data collection, storage, and usage across all channels to maintain consistency. Then we use data integration platforms — tools that consolidate data from various sources into a single unified view, reducing discrepancies and inconsistencies. While we collect data from different sources, we clean the data so it becomes cleaner with every stage of processing. We also conduct regular data audits — performing periodic checks to identify and rectify data quality issues, ensuring accuracy and reliability of information. We also deploy standardized data formats. On top of that, we have various automated data cleansing tools, specific software to detect and correct data errors, redundancies, duplicates, and inconsistencies in data sets automatically. 14. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years? The first thing that’s been the biggest trend from the past two years is AI-driven decision making, which I think will become more prevalent, with advanced algorithms processing vast amounts of engagement data in real-time to inform strategic choices. Somewhat related to this is predictive analytics, which will play an even larger role, enabling businesses to anticipate customer needs and market trends with more accuracy and better predictive capabilities. We also touched upon hyper-personalization. We are all trying to strive toward more hyper-personalization at scale, which is more one-on-one personalization, as we are increasingly capturing more engagement data and have bigger systems and infrastructure to support processing those large volumes of data so we can achieve those hyper-personalization use cases. As the world is collecting more data, privacy concerns and regulations come into play. I believe in the next few years there will be more innovation toward how businesses can collect data ethically and what the usage practices are, leading to more transparent and consent-based engagement data strategies. And lastly, I think about the integration of engagement data, which is always a big challenge. I believe as we’re solving those integration challenges, we are adding more and more complex data sources to the picture. So I think there will need to be more innovation or sophistication brought into data integration strategies, which will help us take a truly customer-centric approach to strategy formulation.   This interview Q&A was hosted with Ankur Kothari, a previous Martech Executive, for Chapter 6 of The Customer Engagement Book: Adapt or Die. Download the PDF or request a physical copy of the book here. The post Ankur Kothari Q&A: Customer Engagement Book Interview appeared first on MoEngage.

Take the Speakers, Headphones, and Earphones SurveyTake other PCMag surveys. Each completed survey is a chance to win a $250 Amazon gift card. OFFICIAL SWEEPSTAKES RULESNO PURCHASE NECESSARY TO ENTER OR WIN. A PURCHASE WILL NOT INCREASE YOUR CHANCES OF WINNING. VOID WHERE PROHIBITED. Readers' Choice Sweepstakes (the "Sweepstakes") is governed by these official rules (the "Sweepstakes Rules"). The Sweepstakes begins on May 9, 2025, at 12:00 AM ET and ends on July 27, 2025, at 11:59 PM ET (the "Sweepstakes Period").SPONSOR: Ziff Davis, LLC, with an address of 360 Park Ave South, Floor 17, New York, NY 10010 (the "Sponsor").ELIGIBILITY: This Sweepstakes is open to individuals who are eighteen (18) years of age or older at the time of entry who are legal residents of the fifty (50) United States of America or the District of Columbia. 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Jun 16, 2025Ravie LakshmananMalware / DevOps Cybersecurity researchers have discovered a malicious package on the Python Package Index (PyPI) repository that's capable of harvesting sensitive developer-related information, such as credentials, configuration data, and environment variables, among others. The package, named chimera-sandbox-extensions, attracted 143 downloads and likely targets users of a service called Chimera Sandbox, which was released by Singaporean tech company Grab last August to facilitate "experimentation and development of [machine learning] solutions." The package masquerades as a helper module for Chimera Sandbox, but "aims to steal credentials and other sensitive information such as Jamf configuration, CI/CD environment variables, AWS tokens, and more," JFrog security researcher Guy Korolevski said in a report published last week. Once installed, it attempts to connect to an external domain whose domain name is generated using a domain generation algorithm (DGA) in order to download and execute a next-stage payload. Specifically, the malware acquires from the domain an authentication token, which is then used to send a request to the same domain and retrieve the Python-based information stealer. The stealer malware is equipped to siphon a wide range of data from infected machines. This includes - JAMF receipts, which are records of software packages installed by Jamf Pro on managed computers Pod sandbox environment authentication tokens and git information CI/CD information from environment variables Zscaler host configuration Amazon Web Services account information and tokens Public IP address General platform, user, and host information The kind of data gathered by the malware shows that it's mainly geared towards corporate and cloud infrastructure. In addition, the extraction of JAMF receipts indicates that it's also capable of targeting Apple macOS systems. The collected information is sent via a POST request back to the same domain, after which the server assesses if the machine is a worthy target for further exploitation. However, JFrog said it was unable to obtain the payload at the time of analysis. "The targeted approach employed by this malware, along with the complexity of its multi-stage targeted payload, distinguishes it from the more generic open-source malware threats we have encountered thus far, highlighting the advancements that malicious packages have made recently," Jonathan Sar Shalom, director of threat research at JFrog Security Research team, said. "This new sophistication of malware underscores why development teams remain vigilant with updates—alongside proactive security research – to defend against emerging threats and maintain software integrity." The disclosure comes as SafeDep and Veracode detailed a number of malware-laced npm packages that are designed to execute remote code and download additional payloads. The packages in question are listed below - eslint-config-airbnb-compat (676 Downloads) ts-runtime-compat-check (1,588 Downloads) solders (983 Downloads) @mediawave/lib (386 Downloads) All the identified npm packages have since been taken down from npm, but not before they were downloaded hundreds of times from the package registry. SafeDep's analysis of eslint-config-airbnb-compat found that the JavaScript library has ts-runtime-compat-check listed as a dependency, which, in turn, contacts an external server defined in the former package ("proxy.eslint-proxy[.]site") to retrieve and execute a Base64-encoded string. The exact nature of the payload is unknown. "It implements a multi-stage remote code execution attack using a transitive dependency to hide the malicious code," SafeDep researcher Kunal Singh said. Solders, on the other hand, has been found to incorporate a post-install script in its package.json, causing the malicious code to be automatically executed as soon as the package is installed. "At first glance, it's hard to believe that this is actually valid JavaScript," the Veracode Threat Research team said. "It looks like a seemingly random collection of Japanese symbols. It turns out that this particular obfuscation scheme uses the Unicode characters as variable names and a sophisticated chain of dynamic code generation to work." Decoding the script reveals an extra layer of obfuscation, unpacking which reveals its main function: Check if the compromised machine is Windows, and if so, run a PowerShell command to retrieve a next-stage payload from a remote server ("firewall[.]tel"). This second-stage PowerShell script, also obscured, is designed to fetch a Windows batch script from another domain ("cdn.audiowave[.]org") and configures a Windows Defender Antivirus exclusion list to avoid detection. The batch script then paves the way for the execution of a .NET DLL that reaches out to a PNG image hosted on ImgBB ("i.ibb[.]co"). "[The DLL] is grabbing the last two pixels from this image and then looping through some data contained elsewhere in it," Veracode said. "It ultimately builds up in memory YET ANOTHER .NET DLL." Furthermore, the DLL is equipped to create task scheduler entries and features the ability to bypass user account control (UAC) using a combination of FodHelper.exe and programmatic identifiers (ProgIDs) to evade defenses and avoid triggering any security alerts to the user. The newly-downloaded DLL is Pulsar RAT, a "free, open-source Remote Administration Tool for Windows" and a variant of the Quasar RAT. "From a wall of Japanese characters to a RAT hidden within the pixels of a PNG file, the attacker went to extraordinary lengths to conceal their payload, nesting it a dozen layers deep to evade detection," Veracode said. "While the attacker's ultimate objective for deploying the Pulsar RAT remains unclear, the sheer complexity of this delivery mechanism is a powerful indicator of malicious intent." Crypto Malware in the Open-Source Supply Chain The findings also coincide with a report from Socket that identified credential stealers, cryptocurrency drainers, cryptojackers, and clippers as the main types of threats targeting the cryptocurrency and blockchain development ecosystem. Some of the examples of these packages include - express-dompurify and pumptoolforvolumeandcomment, which are capable of harvesting browser credentials and cryptocurrency wallet keys bs58js, which drains a victim's wallet and uses multi-hop transfers to obscure theft and frustrate forensic tracing. lsjglsjdv, asyncaiosignal, and raydium-sdk-liquidity-init, which functions as a clipper to monitor the system clipboard for cryptocurrency wallet strings and replace them with threat actor‑controlled addresses to reroute transactions to the attackers "As Web3 development converges with mainstream software engineering, the attack surface for blockchain-focused projects is expanding in both scale and complexity," Socket security researcher Kirill Boychenko said. "Financially motivated threat actors and state-sponsored groups are rapidly evolving their tactics to exploit systemic weaknesses in the software supply chain. These campaigns are iterative, persistent, and increasingly tailored to high-value targets." AI and Slopsquatting The rise of artificial intelligence (AI)-assisted coding, also called vibe coding, has unleashed another novel threat in the form of slopsquatting, where large language models (LLMs) can hallucinate non-existent but plausible package names that bad actors can weaponize to conduct supply chain attacks. Trend Micro, in a report last week, said it observed an unnamed advanced agent "confidently" cooking up a phantom Python package named starlette-reverse-proxy, only for the build process to crash with the error "module not found." However, should an adversary upload a package with the same name on the repository, it can have serious security consequences. Furthermore, the cybersecurity company noted that advanced coding agents and workflows such as Claude Code CLI, OpenAI Codex CLI, and Cursor AI with Model Context Protocol (MCP)-backed validation can help reduce, but not completely eliminate, the risk of slopsquatting. "When agents hallucinate dependencies or install unverified packages, they create an opportunity for slopsquatting attacks, in which malicious actors pre-register those same hallucinated names on public registries," security researcher Sean Park said. "While reasoning-enhanced agents can reduce the rate of phantom suggestions by approximately half, they do not eliminate them entirely. Even the vibe-coding workflow augmented with live MCP validations achieves the lowest rates of slip-through, but still misses edge cases." Found this article interesting? Follow us on Twitter  and LinkedIn to read more exclusive content we post. SHARE    

Winter is well and truly biting, but this fresh crop of game deals is bringing the heat. From mythological mayhem to pocket-sized platformers, there’s something here for every taste and timeframe. If your digital shelf could use a mid-year injection of chaos, charm, or challenge, this week’s offerings are primed to please.This Day in Gaming 🎂In retro news, I’m lighting a 26‑candle cake for Silent Hill, the fog‑laden survival horror fest that kept '99-era me perched on a seat with barely 2% of the surface area of one butt cheek. I still remember tentatively sweeping my flashlight across those grainy, polygonal streets, only to have the beam half illuminate some scurrying something in the dark. Though the OG Resident Evil certainly vexed me first, the unique magic of Silent Hill lay in how its graphical limitations—thick fog and encroaching darkness—became tools of terror rather than platform limitations. Every ring of static from your radio or *that* air raid siren heralding the "other plane" of this madhouse could ratchet up the dread in an instant. Lastly, I recall working game retail at launch and having to help absolutely bloody everybody with a solution to the piano puzzle.Tank controls and (hardware induced) bugger all visibility. OG Silent Hill was terrifying.Aussie bdays for notable games- Silent Hill (PS) 1999. Redux- Marvel vs. Capcom 2 (DC) 2000. Redux- The Conduit (Wii) 2009. eBay- Monster Hunter Generations (3DS) 2016. eBayContentsNice Savings for Nintendo SwitchAvailable now!Nintendo Switch 2 ConsoleNintendo Switch 2 + Mario Kart WorldNintendo kicks things off with Persona 5 Royal for A$66.60, a lavishly expanded edition of the genre-defining RPG whose original director Katsura Hashino was inspired by Carl Jung’s theories of the psyche. Also worth nabbing is Bravely Default II at A$63.10, a spiritual twinner to the Final Fantasy titles that’s cheekily packed with nostalgic mechanics like turning off random encounters to power-level in peace.Persona 5 Royal (-33%) - A$66.60Bravely Default II (-21%) - A$63.10Sonic Frontiers (-53%) - A$47Sonic x Shadow Generations (-35%) - A$49NBA 2K25 (-79%) - A$19Metal Gear Col. (-50%) - A$45Expiring Recent DealsOr gift a Nintendo eShop Card.Switch Console PricesHow much to Switch it up?Switch OLED + Mario Wonder: $̶5̶3̶9̶ $538 | Switch Original: $̶4̶9̶9̶ $448 | Switch OLED Black: $̶5̶3̶9̶ $469 | Switch OLED White: $̶5̶3̶9̶ $449 ♥ | Switch Lite: $̶3̶2̶9̶ $328 | Switch Lite Hyrule: $̶3̶3̶9̶ $335See itBack to topExciting Bargains for Xbox Over on Xbox Series X, Warhammer 40,000: Space Marine 2 is slashing skulls and prices at A$49.90, finally giving fans the long-awaited sequel to one of gaming’s most satisfyingly weighty shooters. Suicide Squad: Kill the Justice League is an outrageous A$9.90, and despite its rocky reception, it’s a fascinating look at how Batman: Arkham devs tried to blend looter-shooter DNA into their universe.40K Space Marine 2 (-54%) - A$49.90Suicide Squad: KTJL (-91%) - A$9.90Wild Hearts (-83%) - A$19Avatar: Pandora Gold Ed. (-69%) - A$49.90Hogwarts Legacy (-75%) - A$27.40Xbox OneTopSpin 2K25 (-88%) - A$14.90Sunset Overdrive (-36%) - A$19.20Alan Wake Rem. (-85%) - A$6.70Expiring Recent DealsThe Witcher 3 Comp. (-56%) - A$34.80Tekken 8 (-53%) - A$39.90NBA 2K25 (-80%) - A$24Farming Simulator 25 (-32%) - A$68FC 25 (-57%) - A$34Red Dead Redemption 2 (-78%) - A$20Lies of P (-19%) - A$73Lego Jurassic World (-65%) - A$22.50Or just invest in an Xbox Card.Xbox Console PricesHow many bucks for a 'Box? Series X: $̶7̶9̶9̶ $724 👑| Series S Black: $̶5̶4̶9̶ $545 | Series S White:$̶4̶9̶9̶ $498 | Series S Starter: N/ASee itBack to topPure Scores for PlayStationFor PS5 players, Marvel’s Spider-Man: Miles Morales swings down to A$39, letting you sling through Harlem while wearing everything from a Bodega Cat suit to a Spider-Verse frame-rate filter. Meanwhile, Ratchet & Clank: Rift Apart for A$54 is a tech marvel that started life as a PS4 title, before being fully rebuilt to show off the PS5’s SSD.PS4God of War Ragnarök (-60%) - A$44Gran Turismo 7 (-60%) - A$44Watch Dogs: Legion (-86%) - A$13.60Expiring Recent DealsPS+ Monthly FreebiesYours to keep from May 1 with this subscriptionArk: Survival Ascended (PS5)Balatro (PS5/PS4)Warhammer 40,000: Boltgun (PS5/PS4)Or purchase a PS Store Card.What you'll pay to 'Station.PS5 + Astro Bot:$̶7̶2̶4̶.9̶5̶ $699👑 | PS5 Slim Disc:$̶7̶9̶9̶ $625 | PS5 Slim Digital:6̶7̶9̶ $549 | PS5 Pro $̶1̶,1̶9̶9̶ $1,049 | PS VR2: $649.95 | PS VR2 + Horizon: $1,099 | PS Portal: $329See itBack to topPurchase Cheap for PCOn PC, Resident Evil 4 is a steal at A$29.90, a stunning remake where the developers added extra charm to Leon’s famous “Where’s everyone going, bingo?” line by letting players unlock vintage filters that emulate 2005-era graphics. Also notable is Lies of P at A$76.40, the Pinocchio-meets-Bloodborne mash-up that lets you lie in dialogue choices for combat perks.Lies of P (-15%) - A$76.40The Alters (-30%) - A$35.60Clair Obscur: Expedition 33 (-18%) - A$57.30Silent Hill 2 (-40%) - A$61.50Forza Horizon 5 (-65%) - A$31.40Resident Evil 4 (-50%) - A$29.90Expiring Recent DealsOr just get a Steam Wallet CardPC Hardware PricesSlay your pile of shame.Official launch in NovSteam Deck 256GB LCD: $649 | Steam Deck 512GB OLED: $899 | Steam Deck 1TB OLED: $1,049See it at SteamLaptop DealsDesktop DealsLenovo neo 50a G5 27" AIO (-47%) – A$1,379Lenovo neo 50q G4 Tiny (-35%) – A$639Lenovo neo 50t G5 Tower (-20%) – A$871.20Legion Tower 5i G8 (-29%) – A$1,899Monitor DealsSamsung QE50T 50" (-31%) – A$596ARZOPA 16.1" 144Hz (-55%) – A$159.99Z-Edge 27" 240Hz (-15%) – A$237.99Gawfolk 34" WQHD (-28%) – A$359LG 27" Ultragear (-42%) – A$349Component DealsStorage DealsBack to topLegit LEGO DealsExpiring Recent DealsBack to topHot Headphones DealsAudiophilia for lessBose QuietComfort Ultra Wireless (-38%) – A$399.95Soundcore by Anker Q20i (-43%) – A$68.79Sony MDR7506 Professional (-30%) – A$169Technics Premium (-46%) – A$299Bose SoundLink Flex (-31%) – A$171JBL Charge 5 - Portable Speaker (-28%) – A$144JBL Flip Essential 2 Waterproof Speaker (-26%) – A$96Sony SRS-XB100 Travel Speaker (-41%) – A$84.15Ultimate Ears Boom 3 Portable Speaker (-41%) – A$134.95Samsung Galaxy Buds2 Pro (-26%) – A$259.29Sennheiser Momentum 4 Wireless (-46%) – A$275Back to topTerrific TV DealsDo right by your console, upgrade your tellyLG 43" UT80 4K (-24%) – A$635Kogan 65" QLED 4K (-50%) – A$699Kogan 55" QLED 4K (-45%) – A$549LG 55" UT80 4K (-28%) – A$866Prism+ Q75 Ultra 75" 4K QLED (-47%) – A$1,229Gaimoo Mini Projector 1080p w/ 4K (-33%) – A$119.99GooDee 4K Projector (-58%) – A$169.99VOPLLS Mini Projector 4K (-19%) – A$168.99XuanPad Mini Projector (-36%) – A$128.99LG S70TY Q Series Sound Barn*-22%) – A$546Sony HTG700 Atmos Soundbar (-15%) – A$594Yamaha NS-SW050 Subwoofer (-13%) – A$270Smart Home DealsBack to top Adam Mathew is our Aussie deals wrangler. He plays practically everything, often on YouTube.