For years, Launchmetrics has helped brands launch campaigns with efficiency and benchmark their performance in a competitive landscape. Its AI-powered Brand Performance CloudSM now provides more than 1,700 clients with the software, data and insights they need to connect strategy with execution. By tracking upwards of 1 million social profiles, eight million documents and over 70 million social media comments per day, Launchmetrics turns this vast amount of data into actionable insights, empowering clients to transform their brand strategies and initiatives to gain a competitive edge.
In today’s landscape, with complex go-to-market strategies and millions of media placements, social media posts and influencers, it can be difficult for brands to understand what really resonates with their consumers. With its AI-powered Brand Performance CloudSM, Launchmetrics helps executives launch campaigns, amplify reach, measure ROI and benchmark brand performance.
Their AI-driven and proprietary Media Impact Value® algorithm is the answer to modern measurement in a global world, making impact measurable. Launchmetrics brings a sharp focus to profitability, accountability, and efficiency while enabling the type of quick decision-making required for agility. With tools for sample management, event organization, PR monitoring and brand performance, the Launchmetrics Brand Performance CloudSM enables brands to build a successful marketing strategy, all in one place.
Running on Amazon Web Services (AWS), the variable nature of Launchmetrics’ workloads meant the company previously found it hard to predict exactly how much compute power it needed, making it difficult to take advantage of AWS committed-use discounts. To maintain flexibility and avoid potential underutilization, Launchmetrics initially committed to a portion of its compute workloads and utilized on-demand services for the remainder. However, the company sought ways to optimize these on-demand costs.
At the same time, Launchmetrics was in the process of negotiating a new three-year Enterprise Discount Program (EDP) with AWS, and wanted to be sure it was getting the most accurate value from the cloud platform.
Additionally, without the proper tooling to spot and fix these spikes quickly and accurately, the company faced unexpected spikes in cloud costs which also resulted in time-consuming maintenance. When it implemented a third-party system to see these spikes faster, Launchmetrics experienced a high number of false positives. “Every time our team got an alert, we had to stop working and check to understand what was happening,” remembers Pau Montero Parés, Chief Technology Officer at Launchmetrics. “It was not an efficient way of working and had several false positives.”
Launchmetrics turned to DoiT to help it control these unexpected costs and optimize its cloud spend.
Securing discounted rates for fluctuating workloads
Understanding Launchmetrics’ need to control its cloud costs in the face of unpredictable workloads, DoiT recommended DoiT DoiT Flexsave™ for Compute. With the help of machine learning, DoiT Flexsave™ for Compute identifies which of Launchmetrics’ EC2 compute instances are not already covered by discounts, and automatically applies discount rates, significantly reducing Launchmetrics’ on-demand costs.
“Despite strategically managing our compute usage, we nevertheless missed out on discounts for up to 30% of our workloads. With DoiT Flexsave™ for Compute, we can now dynamically adjust our compute usage while securing reduced rates for nearly all our workloads,” says Pau. “DoiT takes care of the process seamlessly, allowing us to focus on our core objectives and better help our clients.”
Unblocking negotiations to sign a new three-year contract
DoiT then supported Launchmetrics in negotiations over its new three-year EDP. Leveraging its official partnership with AWS, DoiT worked together with the cloud provider to find the most suitable pricing plan for Launchmetrics, and its finance team in particular, enabling Launchmetrics to finalize the new contract with ease.
“We had a real block in negotiations,” Pau recalls. “Then DoiT appeared with this new approach and unlocked the negotiation. Within two weeks, we had signed.”
DoiT also supported Launchmetrics with the procurement of Google Workspace, using its access to volume pricing as a Google Cloud partner to secure credits to use Workspace at a preferential rate.
Understanding and managing cloud costs with the DoiT console
With the DoiT console, Launchmetrics now has access to Cloud Analytics to visualize its cloud spend in detail, generate reports, and manage costs. For example, Launchmetrics has a report to track its EDP expenditure to ensure it’s meeting its contracted usage commitments. This allows the company to make any necessary adjustments promptly, rather than adjusting its usage all at once.
Launchmetrics has also implemented Anomaly Detection to automatically monitor its cloud consumption and alert it of unexpected cost surges, dramatically reducing the number of false alerts.
“The big difference is that every time we receive an alert from DoiT, it’s a real anomaly and I know the team has to look into it,” Pau explains. “Now instead of wasting time looking into false positives, I can concentrate on developing services for our customers.”
When necessary, Launchmetrics consults with DoiT’s Cloud Reliability Engineers (CREs) to diagnose and resolve anomalies. For instance, when unexpected price surges occurred with Amazon S3 cloud storage, a DoiT CRE quickly identified an unusually high number of requests as the cause. By implementing the CRE’s recommendations, Launchmetrics efficiently reduced the number of requests and stabilized costs within just two days.
Exploring the best way to cloud with DoiT expertise
Launchmetrics and DoiT check in biweekly to discuss issues, seek advice on using new cloud services, and gain support on new projects. When Launchmetrics wanted to use Amazon Kendra to develop an internal GenAI chatbot to improve efficiency, DoiT explained how the service works and how to use it effectively.
“These direct discussions save us a significant amount of time by enabling us to focus directly on critical issues,” says Pau. “DoiT provides clear explanations of our options, detailing the advantages and disadvantages of various products and services. Together, we can determine the optimal approach.”
DoiT then secured credits for Launchmetrics to use Kendra, saving the company money as it developed its proof of concept. The chatbot is now in production.
20% savings on compute power with DoiT Flexsave™ for Compute
Since using DoiT Flexsave™ for Compute to automatically find and allocate reduced rates to its workloads, Launchmetrics has saved 20% on its EC2 spend.
$1,000s saved with Anomaly Detection
With DoiT Anomaly Detection, Launchmetrics is continually saving money by quickly spotting and fixing unexpected price increases.
15% savings on overall cloud expenditure
Securing a better rate for its EDP by leveraging DoiT, Launchmetrics saved 8% on its cloud costs. Combined with its other savings secured with DoiT’s support and cost optimizations, including DoiT Flexsave™ for Compute and Anomaly Detection, Launchmetrics has reduced its overall annual cloud spend by 15%.
Less time managing costs and more time spent in developing core services
With DoiT, Launchmetrics has saved significant time and resources on managing costs. “For me, this is the most important thing DoiT gives my team: time,” says Pau. “DoiT has saved time that my team used to spend managing costs. Now, we can invest it in developing new products and services for our customers instead.”
Next, Launchmetrics is looking forward to developing several new genAI services with the help of DoiT’s expertise.
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