We are tool agnostic.
We turn chaos into clarity, transforming massive data into insights. Everything we do is measurable, from constantly monitoring your data to re-evaluating and adjusting the relevant information.
IT Operation Analytics
SPIN team will help you turn your IT into profit center. We help with descriptive, predictive and prescriptive insights to detect complex issues from multiple symptoms, build remediation and automation engines so that they take actions by sending alerts, triggering a workflow or script to selfheal.
- Root Cause Analysis: The models, structures and pattern descriptions of IT infrastructure or application stack being monitored can help users pinpoint fine-grained and previously unknown root causes of overall system behavior pathologies.
- Proactive Control of Service Performance and Availability: Predicts future system states and the impact of those states on performance.
- Problem Assignment: Determines how problems may be resolved or, at least, direct the results of inferences to the most appropriate individuals or communities in the enterprise for problem resolution.
- Service Impact Analysis: When multiple root causes are known, the analytics system’s output is used to determine and rank the relative impact, so that resources can be devoted to correcting the fault in the most timely and cost-effective way possible.
- Complement Best-of-breed Technology: The models, structures and pattern descriptions of IT infrastructure or application stack being monitored are used to correct or extend the outputs of other discovery-oriented tools to improve the fidelity of information used in operational tasks (e.g., service dependency maps, application runtime architecture topologies, network topologies).
- Real time application behavior learning: Learns & correlates the behavior of Application based on user pattern and underlying Infrastructure on various application patterns, create metrics of such correlated patterns and store it for further analysis.
- Dynamically Baselines Threshold: Learns behavior of Infrastructure on various application user patterns and determines the Optimal behavior of the Infra and technological components, bench marks and baselines the low and high water mark for the specific environments and dynamically changes the bench mark baselines with the changing infra and user patterns without any manual intervention.
Marketing analytics includes data not only from your website, but also from other sources like email, social media, and even offline events. SPIN Marketing Analytics team provides insights into the campaign performance, identify the right targets with advanced models, attribution models for effective measurement. We help in following areas:
Segmentation solution ensure that our clients are no longer guessing about who their best customers are, how to reach them and what they need. SPIN experts have done the segmentation in eCommerce, Retail, Payment Technology and Healthcare industries.
Market segmentation is the process of dividing an entire market up into different customer segments. Targeting or target marketing then entails deciding which potential customer segments the company will focus on. Marketing segmentation always comes before targeting, which helps a company be more selective about who they are marketing their products to. Marketing segmentation and targeting are equally important for ensuring the overall success of a company.
How much should a company spend per acquisition?
Calculating the customer life time value (CLV) is the key input for making a decision on how much to spend per acquisition. SPIN team is adept in identifying the right customer value that will help marketing optimize their ROI and increase revenue.
How can a company identify the customers are most likely to convert?
Our response to your question is using our propensity to buy model. We analyze the existing customer data and their onsite behavior. Additionally, we use your customer offsite behavior to be part of the model to give customer’s search preferences and predict their purchase probability.
Our models consider anywhere upto 140 to 200 variables and identify top 4 or 5 variables that predict the purchase probability and help optimize those particular factors to get better marketing ROI.
Attribution modelling is the process of understanding and assigning credit to the acquisition channels which leads to conversions. SPIN’s Attribution model assess multiple attribution models and applies the right one that suits your business, which makes it a custom attribution model that works exclusively for you. Want more details about our model?
SPIN Analytics runs A/B tests and analyzes the campaign results looking for ideas that are better in a statistically significant way. Statistical significance is due to a number of factors, including how many touch points you send in your tests, how wide the results are between your ideas, how many ideas you’re trying, and more.
SPIN Analytics helps companies with –
We help companies with Tag Management by answering the following questions:
- What problems does their tags and pixels are causing to their website?
Help solve the problems with their tags and pixels
- What tag management solution fits best?
Help them with the implementation and documentation for future references
We help with setting up A/B test and analyzing the results to optimize the websites or software products on sites.
- Establish experimentation platform for websites
- Sample size selection
- A/B testing
- Page flow optimization and insights
With SPIN as your partner, say hello to proactive analytics that work. Tell us how we can help!
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