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.
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.
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.
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.
Enabled 300% jump in overall revenue after uncovering growth insights
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.
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
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
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 - 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
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.
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 - 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.
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.
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.
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.
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.
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
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
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
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.
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.
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
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.
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.
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
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.
Role specific views allow you to efficiently manage cross-team coordination and save time on manual reports.
Quick implementation
