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Effortless, Intuitive and Actionable
Analytics for Digital Marketing

  • Quick implementation
  • Hands-on Team Training
  • Enterprise SLA
  • Zero Coding

New-age BI loved by many
sophisticated brands and unicorns

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Top 4 Challenges We Fix For You;
So You Can Now Totally
Concentrate On Growth

1. Data Data Everywhere, Insights Nowhere

Our professional experts automate marketing reporting, create custom dashboards, exhaustive reports, handle custom data integrations, and more. ET Medialabs' data analysts and visualization experts will help you release the full potential of your data and unlock new growth opportunities for your business.

2. We arrange professional training

Do you want to break the clutter and focus on data and analyses that really matters, but don’t have enough time to learn by yourself and coach your team? Our dedicated training module will help you master the process so you can get the most out of it. Just tell us about your data pains, areas of interest and analytical know-how and we will schedule coaching sessions post dashboard implemention.

3. We assess data granularity

Have you noticed that the reports generated by the system aren’t effective and lack valuable insights? Our professional team will assess the current reporting formats and performance of your system, define the problem, and eliminate it in the shortest possible terms. We’ll help you boost both reporting speed and the overall value of the generated insights.

4. A team of specialists

At some point, you might realize that you don’t have enough understanding or resources to find actionable insights on your own. This strategy allows you to surround yourself with trained digital analysts virtually without having to actually size up your team. Thus, you’ll get a clear vision of your data and boost your revenue at any point.

See How Edureka Uses our BI to agreegate
marketing data with Zero Engineering Effort

Enabled 300% jump in overall revenue after uncovering growth
insights powered by our proprietary tech- Adbytzz

We Solve All Your Digital
Marketing Data Pains

Off the Shelf for mid-sized brands

  • Full Funnel Data Integration Unified Data from Ad Networks, Analytics, Offline Channels and CRM
  • Exhaustive Dashboards Buidling Deepdive dashboards on Data Studio/Tableau
  • Custom Reports Scheduling Custom Automated E-Mail Reports for all stakeholders
  • Outlier Alerts Automating Instant alerts when key KPIs go beyond guardrails
  • Custom Dimensions Labelling of Ads and Users for Custom Dimensions
  • Google Analytics Unsampling 100% accurate reports from GA by pulling data on a daily basis
  • First Click Attribution Model Scale customers by measuring branding ads effectively

Solution that powers a better media future

solutions

Addons for enterprises

  • Offline Events Integration Make first party data actionable on the Ad networks for maximized ROAS
  • Cross channel Custom Attribution Measure True Growth Incrementality of Ad Channels
  • Cross-channel Real-time attribution Enable parallel tracking own Pixel and attribute conversions to campaigns in real time
  • Custom Data Models AI based algorithmic and predictive modelling to optimise quality and conversion rates
  • Advanced Analyses Deeper and quicker insights to get ahead of the curve
  • Data Sancity Checks Assessing the current data measurement system and eliminate loopholes
  • First-Party Data Readiness Become future proof with tracking more user behaviour with own Pixel

INTRODUCING A NEW ART
OF GROWTH SOLVING- THE DATA WAY

ET Medialabs has a singular purpose:

To instill in large enterprises and funded startups, a fundamentally requisite approach to growth marketing
through FULL-FUNNEL MONITORING and ACTIONABLE DATA. It is designed to not just match today’s
incredible pace of change, but to help firms capitalize on data analytics.

Gain out and out clarity
into your D2C performance.

Key Insights

Calculating Repeat Rate of customers aquired from different marketing channels, product promotion, campaigns, etc., are crucial to maintain a healthy long-term LTV:CAC ratio.

Eg:
FB LTV (3 month) > other channels
Organic (Repeat%) > other channels

Key Insights

Owing to varied sales cycle, substantial revenue comes from user visited first time in first month and converted in subsequent months. Measuring the Click-to-Transaction time, conducting experiments based on that duration and calculating True ROAS is critical for channel expansion.

Eg:
April is the worst month in terms of user quality since it has lowest cumulative ROI

Key Insights

Key Insights - Owing to variance in ROI metrics from product to product, measure Quality of User Cohorts coming from ads of products with different price ranges at aggregate level using our powerful labelling feature.

KPIs:
1. Acquisition Volume
2. LTV
3. Repeat%
Eg:
1500-2000 priced product ads bring users with highest LTV

Key Insights

Owing to variance in ROI metrics from discount 1 to discount 2, measure Quality of User Cohorts coming from ads of products with different discount ranges at aggregate level using our powerful labelling feature.

KPIs:
1. Acquisition Volume
2. LTV
3. Repeat%
Eg:
Less than 10% discount based product ads bring users with highest profit while non-discount ads brings in users with highest LTV.

Key Insights

Last-click attribution model is the default reporting model in your Backend and Google Analytics. But it hides half the picture. Especially when the user journey is multi-touch in nature and we want to measure efficiency of top-funnel ads, we need first-click attribution model too to leverage ads with high user quality.

Eg;
Youtube channel's potential is uncoverd using first-click data that was hidden in last-click data.

Key Insights

Key Insights - Owing to variance in ROI metrics from offer 1 to offer 2, measure Quality of User Cohorts coming from ads of products with different offers at aggregate level using our powerful labelling feature.

KPIs:
1. Acquisition Volume
2. LTV
3. Repeat%
Eg:
Offer 3 based product ads bring users with highest profit while non-offer ads brings in users with highest LTV.

Key Insights

When you run online campaigns and sales happen via offline means, it becomes crucial to attribute those conversions to the campaigns for leverage. Adbytzz technology enables measurment and attribution of offline sales to online campaigns and ads for clients who have a significant portion of offline sales.

Key Insights

With increased restrictions on 3rd party cookies by different browsers and iOS, we have observed that marketers who invest in a first-party data strategy curtail data loss significantly.

Using Adbytzz' Signals, we make first party data actionable on the advertising network for better optimisation and you get advanced insights of a user's behaviour throughout the marketing funnel.

Key Insights

Owing to variance in ROI metrics from product 1 to product 2, measure Quality of User Cohorts coming from ads of products at aggregate level using our powerful labelling feature.

KPIs:
1. Acquisition Volume
2. LTV
3. Repeat%
Eg:
Product 1 brings users with highest LTV.

Key Insights

Owing to variance in conversion rate from gross to delivered orders from campaign to campaign, measure Entire Funnel Quality of User Cohorts coming from campaigns at aggregate level using our powerful labelling feature.

Gain out and out clarity
into your D2C performance.

1. Repeat Rate and LTV:CAC
2. Channel Cohort Scalability
3. Price Elasticity
4. Discount Analysis
5. First-click attribution for branding measurement
6. Offer Analytics
7. Offline Attribution
8. s2s for tackling iOS
9. Product intelligence
10. Delivered Orders after Returns/Cancellations

Key Insights

key insights 1

Calculating Repeat Rate of customers aquired from different marketing channels, product promotion, campaigns, etc., are crucial to maintain a healthy long-term LTV:CAC ratio.

Eg:
FB LTV (3 month) > other channels
Organic (Repeat%) > other channels

Key Insights

key insights 2

Owing to varied sales cycle, substantial revenue comes from user visited first time in first month and converted in subsequent months. Measuring the Click-to-Transaction time, conducting experiments based on that duration and calculating True ROAS is critical for channel expansion.

Eg: April is the worst month in terms of user quality since it has lowest cumulative ROI

Key Insights

key insights 3

Owing to variance in ROI metrics from product to product, measure Quality of User Cohorts coming from ads of products with different price ranges at aggregate level using our powerful labelling feature.

KPIs: 1. Acquisition Volume 2. LTV 3. Repeat%
Eg: 1500-2000 priced product ads bring users with highest LTV

Key Insights

key insights 4

Owing to variance in ROI metrics from discount 1 to discount 2, measure Quality of User Cohorts coming from ads of products with different discount ranges at aggregate level using our powerful labelling feature.

KPIs: 1. Acquisition Volume 2. LTV 3. Repeat%
Eg: Less than 10% discount based product ads bring users with highest profit while non-discount ads brings in users with highest LTV.

Key Insights

key insights 5

Last-click attribution model is the default reporting model in your Backend and Google Analytics. But it hides half the picture. Especially when the user journey is multi-touch in nature and we want to measure efficiency of top-funnel ads, we need first-click attribution model too to leverage ads with high user quality.

Eg; Youtube channel’s potential is uncoverd using first-click data that was hidden in last-click data.

Key Insights

key insights 6

Owing to variance in ROI metrics from offer 1 to offer 2, measure Quality of User Cohorts coming from ads of products with different offers at aggregate level using our powerful labelling feature.

KPIs: 1. Acquisition Volume 2. LTV 3. Repeat%
Eg: Offer 3 based product ads bring users with highest profit while non-offer ads brings in users with highest LTV

Key Insights

When you run online campaigns and sales happen via offline means, it becomes crucial to attribute those conversions to the campaigns for leverage. Adbytzz technology enables measurment and attribution of offline sales to online campaigns and ads for clients who have a significant portion of offline sales.

Key Insights

With increased restrictions on 3rd party cookies by different browsers and iOS, we have observed that marketers who invest in a first-party data strategy curtail data loss significantly.

Using Adbytzz’ Signals, we make first party data actionable on the advertising network for better optimisation and you get advanced insights of a user’s behaviour throughout the marketing funnel.

Key Insights

key insights 9

Owing to variance in ROI metrics from product 1 to product 2, measure Quality of User Cohorts coming from ads of products at aggregate level using our powerful labelling feature.

KPIs: 1. Acquisition Volume 2. LTV 3. Repeat%
Eg: Product 1 brings users with highest LTV

Key Insights

key insights 10

Owing to variance in conversion rate from gross to delivered orders from campaign to campaign, measure Entire Funnel Quality of User Cohorts coming from campaigns at aggregate level using our powerful labelling feature.

Case Study

Every stakeholder gets to see data that matters to them

  • The finance team will get to see spend data.
  • The performance team will get to see channels, audiences and creatives.
  • The brand manager will get to see engagement and awareness.
  • The CEO gets to see the business metrics like PnL and channel growth.
  • The investor gets monthly customised long form of report with relevant dimensions and metrics.

Role specific views allow you to efficiently manage cross-team coordination and save time on manual reports.

beneficial 4

In a nutshell, you are going to supercharge your marketing campaigns with

A/ Dashboards
B/ Advanced Data Models
C/ Insights

new nutshell

A future-proof Data Stack

ET Medialabs' Adbytzz is built to plug into your current and future tech stack. — it will always send your data exactly
where you want it. Streamline agile decision making that may have been previously restricted by departmental
and data platform silos.

Stop wasting your tech team's time on tedious data entry and/or API management
for the sake of marketing data. Eliminate labor intensive and costly bottle necks.

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    What you should do now?

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