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FEATURES

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DATA INTEGRATION

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It is always hard to bring data from different sources, stitch them together and report under one roof. Your campaigns run on multiple platforms and to add complexity, some data points will be manual or offline. These obstacles contribute enough when we try extracting data from multiple places.

 

We ensure smooth and accurate data flow by using platforms that are powered by cutting-edge data models. The best practices applied data analysts and scientists learned add high efficiency to your data. 

 

We ensure you 100% unified data that keep the standards of data transparency and visibility high.

 

You will get a list of more than 500 native marketing data connectors. You will be able to build custom connectors based on your unique requirements. 

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Data integration powered by

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FORECASTING

  • Identify relevant data elements, perform pattern analysis, correlation analysis and anomaly detection
     

  • Build features based on pattern identification, Level shift adjustments, Fourier Transforms, Associations, Regressed Features
     

  • Get forecast recommendations at multiple levels - Hourly, Daily, Weekly, Monthly Forecasts and by segments & regions

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BENCHMARKING

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  • Benchmarking against a time series of performance by using forecasting/regression methodology
     

  • Clustering and segmentation technique to find a look-alike for your campaign for benchmarking
     

  • Anomaly/spike alerts whenever there is a breach of these thresholds

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ATTRIBUTION

  • Better quantification approach than traditional single touch approaches like first touch, last touch
     

  • Marketing effort attribution throughout the journey of the sales funnel and at an overall level
     

  • Marketing Strategy Optimization using Media Mix Modelling
     

  • Efficient Spending & Incremental Returns

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LIFT ANALYSIS

ROMI/ROAS

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MEDIA SPEND PLANNER

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An Application that allows marketers to allocate online media budget across various paid channels, targeting strategies or audiences to maximize outcomes of interest such as revenue, orders, leads, etc.

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What are the business benefits?

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Opportunities to optimize spend exist because:

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  • Reach and effectiveness of channels vary by audience sizes, product category, and brand to name a few important drivers.

  • Due to finite reach marketing channels or strategies often run into saturation. These saturation levels differ across channels as well.

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Return on Ad Spend (ROAS) can be increased by planning for:

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  • Existing revenue at lower media spend

  • Higher revenue at existing media spends.

ROAS
Lift Analysis
Attribution
Benchmarking
Forecasting
Data Integration
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ROMI / ROAS

Being a marketer, calculating ROMI and ROAS is as hard as it gets.

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  • Vanity metrics will distract you from your goal and complicate your ROMI and ROAS calculation.

    1Score keeps you true to your goals and costs by identifying the KPIs that are important for your conversions.
     

  • With all the reports coming in, it is hard to differentiate profitable versus unprofitable marketing programs.

    1Score gives you one of a kind performance evaluation to act on your non-performing efforts to reduce ROMI and ROAS.
     

  • Calculation of ROMI and ROAS does not stop with the evaluation of marketing activities. Testing run on marketing activities is the next step to optimize costs.

    1Score's one metric approach provides an easy comparison on these marketing tests identifying winners resulting in more outcome and fewer costs.

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LIFT ANALYSIS

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Use lift analysis to estimate the effect of online marketing campaigns on your most important KPIs.

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You could measure lift in engagement, sales or conversion. Lift is calculated as the percentage of increase or decrease in each metric for

users who received a new campaign versus a control group.

 

Major steps to be followed during this analysis:
 

  • Identify Control Geos where Ads will be shown

    Example: Detect a control group with similar KPI trends as the test markets. You can do this by using time series matching based on historical data before the proposed campaign period.

 

  • Inferring the causal impact of the Campaign – Lift measurement

    Example: Analyze the lift in the KPI by comparing the observed sales for the test and control markets during the campaign period.

 

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Spend Optmizer
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