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Latin America: E-commerce takes off, Retargeting follows suit

According to the Latin American E-commerce Insititute e-commerce sales in Latin America surpassed the milestone of $ 70 billion, up from just $ 1.6 billion in 2003. This means that the Latin American ecommerce market grew by almost 40 times in just 10 years!

There are various reasons that have contributed to this quantum leap. Firstly, the digital environment in the region has witnessed a widespread acceptance with increase in the number of internet connected mobile devices in Latin America. According to e- Marketer, the number of internet users in LATAM will increase to about 300 million this year. Besides, ecommerce has other practical benefits such as the ease to buy. You need not step outside and visit multiple stores – you can do so while you watch television back home. Further, most e-commerce transactions are done using credit cards. In mature e-commerc markets, it is common for customers to use credit cards for online purchases. In recent years, Latin American markets have witnessed an increase in usage of such cards as well.

With the user willing to explore e-commerce, it is important that advertisers engage these users and provide products & services that delight the users and transform website visits into sales transactions and further into relationships. Marketing channels like desktop retargeting, mobile retargeting and social retargeting with dynamic banner creative optimization are extremely beneficial to achieve marketing goals and in building a customer relationship. To know more about retargeting click here, here and here.

dynamic creative retargeting

Since each of these channels are relatively new there was an initial reluctance among advertisers to take the first step. But once advertisers realized the huge benefits that retargeting can provide, we witnessed a swift adoption of these channels by all the leading advertisers in LATAM. However, it is important to reinforce that retargeting must be used intelligently and combined with a good e-commerce marketing platform for dynamic creative banners optmization and Real Time Bidding with great intelligence, flexibility and creativity to achieve the desired results.A combined strategy of desktop, mobile and social retargeting has proven to be most beneficial for our clients.

why retargeting works

Some of the big players in retail and e-commerce operating in LATAM are already working with us and combining all these channels very well. This experience and knowledge of their customer helps e-commerce or retail companies to work better and achieve thier ROI. Further, these companies are able to engage more effectively with their users and take the next big step and work with omni-channel and omni-consumer strategies. With all the insights generated and the commercial benefits possbile through effective utilization of these marketing channels – a combined retargeting strategy will no doubt be the next big thing in Latin America’s E-commerce market.

[New Feature] Dynamic Emails with our Mobile Marketing Platform

There’s some exciting news I would like to share. We have just launched “Dynamic Emails”, a new feature available on our Mobile Marketing Platform. Using this feature, online commerce marketers like you will be able to reach both website and app users with highly personalized emails, enabling you to further improve your overall marketing effectiveness.

Dynamic_emails_with_Vizury.png

What are Dynamic Emails?

These are highly personalized emails that can be sent out to your target audience based on their intent and activity. And these mails can be personalized for every single user that you want to reach.

Inner workings: Dynamic Emails with Vizury’s Mobile Marketing Platform

  • Real-time data: Our platform gathers behavioral data from your website/app and analyses them at a user level. This helps in determining the user’s intent and generating relevant product recommendations/offers.
  • 1:1 personalization at scale: The platform allows you to create niche target segments and engage them with personalized content.
  • Rich media: The platform draws relevant product images, description, recent price via a live product feed. These parameters are included within the email.
  • Reach across devices: Reach users even when they are not available on desktop and social websites/apps.

Some use cases to try with Dynamic Emails

There are a bunch of things that you can do with Dynamic Emails. Here are some typical use cases that you must try.

  1. Send “First Buy” offers to new users and prompt them to complete a purchase.
  2. Retarget cart drop offs by sending a quick reminder email about the pending purchase. This could be an event based trigger.
  3. Everytime a product price drops, the platform can trigger emails to users who have carted that product to prompt a purchase.
  4. Retain inactive users with personalized re-engagement offers. These could be tailored based on last activity, inactive period to generate product/segment level recommendations.
  5. Our platform’s machine learning capabilities allow you to build user personas and map them for look-alike recommendations via emails. You can use this feature to cross-sell/upsell relevant products.

Results

We are thrilled with the beta results of dynamic emails. Typically, static emails sent out by ecommerce brands get upto 2.5% CTR. Dynamic Emails sent out from Vizury’s Mobile Marketing Platform garnered upto 3X higher CTR. Also, these emails were able to drive significant improvement in conversions as well.

To know more / try Dynamic Emails, sign up for a demo.

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Why Should Organisations Care about Mobile Marketing- NASSCOM Martech Confluence 2015 [Video]

NASSCOM Martech Confluence 2015, held recently in Mumbai, saw great minds gather and discuss the merging gap between Marketing and Technology. An interesting discussion around “Why should organisations care about Mobile Marketing” had Kartik Jain, CMO, HDFC Bank and Arijit Sarker, Director – India Operations, Google and our Chetan Kulkarni, CEO Vizury as the panelists, moderated by Hari Thalapalli, CEO, CallHealth.

A person looks at his mobile phone at least 200 times a day and there are roughly 2 billion people are smartphone engaged globally! With such startling numbers, the panel took a fiery start and got the audience to sit up and understand why mobile marketing is so important for their brand.

Arijit, began by bursting some myths and spoke about how mobile is beyond E commerce and social. Karthik confirmed the rapid shift with customers quickly adapting to mobile transactions. Chetan looked at the marketers’ perspective about how a marketers dream is fulfilled with “the always ON” medium and continued to talk about mass personalisation with an interesting example from the airline industry.
Here’s the entire video .


Drive new users down the sales funnel, quicker!

The great BFSI digital migration is upon us. In the last one year alone, this is what has happened,

sales_funnel-1.png

BFSI customers are slowly but surely moving to digital and the imperatives to marketers is beyond obvious,

  • Make your website conversion centric rather than just an information dispensary
  • Create personalized experiences on data marketing platform across all channels

While most BFSI marketers have already jumped on the wagon, only baby steps are being taken yet. The potential for revenue generation through digital channels in the BFSI domain is unprecedented.

The website is the primary digital touchpoint of any BFSI brand. You can have 3 types of visitors to your website,

  1. Existing customer
  2. Not a customer, but a repeat visitor
  3. Not a customer, first time visitor

You don’t need me to tell you that you’re committing a crime if you aren’t personalizing the experience of existing customers on your website. So let’s keep that for later.

What about a repeat visitor?

A simple example: a user has visited your website before and has looked for auto loan products

And this user has visited your website again. Are you able to personalize the experience of this user? Or are you just serving him static banners of your usual promotional offers which he is going to ignore with almost cent percent certainty?

So what do we know about this user? Based on your clickstream data, you know he’s looking for an auto loan.

The Home page banner of your website can be personalized with an auto loan offer. Here is an example screenshot:

The exact same offering can be mirrored in a paid channel through programmatic display retargeting and Facebook. Reach out to this user with the same personalized auto loan offer. Here is an example screenshot of a car insurance offer for a user who has looked for car insurance products in his previous visits:
Ensure a consistent and personalized experience for your users across all digital touchpoints to boost engagement and push them towards the eventual transaction. Make the best use of your owned channels (website, email) before venturing into paid avenues (display, social) to optimize your marketing spends.

You can download this guide to get your hands on 5 growth recipes to maximize the digital share of your business through new-to-bank users.

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In the next article, lets look at personalization for existing customers and the unique use cases through which you can surprise your customers to generate incremental revenue through relevant upsell and cross-sell.

Write to us at marketing@vizury.com to let us know your thoughts on the great digital migration in the BFSI domain.

 

Demystifying Marketing (Series 01)- What is Omnichannel Personalisation?

Activate omnichannel personalization using your online and offline data across channels including second screen engagement for personalized advertising that is powered by predictive analytics and is optimized with programmatic buying for a marketing strategy that works.

Are you still with me?

Well I wouldn’t blame you if you lost me somewhere in the second line. The above statement is pretty much the state of marketing for most brands today – filled with jargons which more than half the people in any given board room might not even begin to comprehend.

Especially with the surge of digital marketing channels and platforms, it is no wonder that your company’s marketing handbook is getting fatter with fancy jargons added to it each day.

Let’s take a breath… hold the reign here. Where do these jargons come from? Are they actually a thing? Do they mean anything to your marketing?

Matter of fact, they do. They do mean something and they are not as complicated as they are made to sound. Now take a look at the opening statement again. Actually just look at the highlighted terms, ‘coz the sentence as such doesn’t mean much.

We will take each of the 5 terms and dissect them. We will figure out what they mean with the help of certain use cases, one by one. To start off, let’s take the term – omnichannel personalization. We will come to the other terms in the following blogs.

Enough jargons. Let’s talk some real marketing.

So, what is omnichannel personalization?

 

marketoonist_marketing_Declutter By Tom Fishburne, marketoonist.com

This is an easy one – Personalize your conversations with every customer based on their interests as you connect with them on different touch points. Essentially, what this means is, if you are a fashion retailer and you find out that Emma is looking for a Louis Vuitton handbag, then you must recommend the handbag to her with the same discount on your website, app, social, email, sms, push notifications and offline as well.

It is easier said than done though. To be able to personalize messaging to your customer, the first thing you need to do is to identify a customer across these channels and then find out what she really wants.

This is precisely why ‘data’ is gradually becoming the crux of marketing at all brands. A Data and Marketing Platform becomes a powerful tool to fuel personalization.

Customer data from any source or format, both online and offline, can be onboarded to a single platform and the data and marketing platform will give you a unified view of the customer in terms of demography, product preferences, buying behavior, preferred channels and devices etc.

Let’s say you are an ecommerce brand and you have a special discount on certain products for registered users alone. You want to reach out to these users using different marketing channels and tell them about the offer. The key here is to keep the messaging consistent across channels and platforms (website, mobile web, app). A single message on all channels keeps it simple for the customer and pushes them forward on the purchase cycle.

This is omnichannel personalization. It’s that simple! More importantly, it’s found to improve conversion rates by 30%.

Sounds good?

Here are 4 reasons to consider data driven marketing (a real good read, trust me!)

Next week, we’ll de-clutter more.

 

 

Demystifying Marketing (Series 01)- What is Omnichannel Personalisation?

Activate omnichannel personalization using your online and offline data across channels including second screen engagement for personalized advertising that is powered by predictive analytics and is optimized with programmatic buying for a marketing strategy that works.

Are you still with me?

Well I wouldn’t blame you if you lost me somewhere in the second line. The above statement is pretty much the state of marketing for most brands today – filled with jargons which more than half the people in any given board room might not even begin to comprehend.

Especially with the surge of digital marketing channels and platforms, it is no wonder that your company’s marketing handbook is getting fatter with fancy jargons added to it each day.

Let’s take a breath… hold the reign here. Where do these jargons come from? Are they actually a thing? Do they mean anything to your marketing?

Matter of fact, they do. They do mean something and they are not as complicated as they are made to sound. Now take a look at the opening statement again. Actually just look at the highlighted terms, ‘coz the sentence as such doesn’t mean much.

We will take each of the 5 terms and dissect them. We will figure out what they mean with the help of certain use cases, one by one. To start off, let’s take the term – omnichannel personalization. We will come to the other terms in the following blogs.

Enough jargons. Let’s talk some real marketing.

So, what is omnichannel personalization?

 

marketoonist_marketing_Declutter By Tom Fishburne, marketoonist.com

This is an easy one – Personalize your conversations with every customer based on their interests as you connect with them on different touch points. Essentially, what this means is, if you are a fashion retailer and you find out that Emma is looking for a Louis Vuitton handbag, then you must recommend the handbag to her with the same discount on your website, app, social, email, sms, push notifications and offline as well.

It is easier said than done though. To be able to personalize messaging to your customer, the first thing you need to do is to identify a customer across these channels and then find out what she really wants.

This is precisely why ‘data’ is gradually becoming the crux of marketing at all brands. A Data and Marketing Platform becomes a powerful tool to fuel personalization.

Customer data from any source or format, both online and offline, can be onboarded to a single platform and the data and marketing platform will give you a unified view of the customer in terms of demography, product preferences, buying behavior, preferred channels and devices etc.

Let’s say you are an ecommerce brand and you have a special discount on certain products for registered users alone. You want to reach out to these users using different marketing channels and tell them about the offer. The key here is to keep the messaging consistent across channels and platforms (website, mobile web, app). A single message on all channels keeps it simple for the customer and pushes them forward on the purchase cycle.

This is omnichannel personalization. It’s that simple! More importantly, it’s found to improve conversion rates by 30%.

Sounds good?

Here are 4 reasons to consider data driven marketing (a real good read, trust me!)

Next week, we’ll de-clutter more.

 

 

Implementing Real Time Logging

Note: Knowledge of Flume, Kafka and AWS EC2, Auto-scaling, S3, Spot instances would be helpful for understanding this article.

Overview

Being a big data marketingcompany, we do a lot of analytics on the data that gets generated by this traffic to websites. This poses considerable scale challenges when we begin to think of implementing systems which are real-time. One such challenge was seen when we wanted to implement real-time logging for all our Real Time Bidding (RTB) bid servers. Our bid severs mainly has the jetty web service running in it which process HTTP bid requests sent by ad-exchanges and generates some log entries for the requests that it has processed. These log entries are later used for Analytics.

History

Here are some numbers to understand how the RTB infra is distributed.

  1. We are geographically spread in 6 regions (US-East, US-West, EU-Weast, AP-Southeast, AP-Northeast & China).
  2. Each of the bigger geographies (APSE & USE), has about 20 c3.2xlarge serving bid traffic during peak hours. And across all geographies, there could be about 75 c3.2xlarge machines handling bid traffic during these peak hours.
  3. Each region is treated very independently i.e. every region has its own set of cache servers, front-end bid servers, back-end cache population servers, etc.
  4. Each bid server handles approx. 4000 requests per second and the size of logs generated by each bid sever is around 300 MB / min. So, at peak times, the bigger regions would be generating around 20 * 300 ~ 6 GB of uncompressed data every minute or 100 MB / second.

All these logs are written to files and uploaded to S3 to be consumed later by analytics systems. Earlier, we used to use the below method to make these logs available for Analytics:

  1. Uncompressed logs got uploaded from each bid sever every half-an-hour to AWS S3.
  2. As soon as a log got uploaded to S3, the bid sever would send a SQS message giving details about the log that got uploaded.
  3. There used to be a set of offline logging instances, which were subscribed to the SQS queue. As soon as a message was recieved in the queue, one of the offline-logging server, would download and decipher the message.
  4. The offline-logging server would then proceed to download the log-file mentioned in the message, compress it and upload to S3. We preferred to do the compression on the offline-logging instances rather than on the bid severs as we would otherwise end up with spikes in CPU utilization on bid severs at the time of compression.

This worked well as S3 was acting as the intermediate layer and each offline logging server was able to independently download any newly uploaded log file, compress it and re-upload it to S3 for consumption by analytics systems. However, there was one major concern with this architecture. If a bid server got terminated suddenly, upto the last half-an-hour data on that bid server would get lost. Also, our bid servers were on auto-scaling and we were thinking of using spot instances rather than on-demand instances. With spot instances, there is a high chance of sudden termination. So, this implied that if we were to use spot instances, we had to make the bid-servers stateless and so we did not have the luxury of accumulating log data for half-hour and uploading it periodically. We had to push the logs out of the bid-server real-time!

Architecture And Design of New Implementation

So, here was the solution that we implemented:

  1. We decided to use kafka as a broker for the log events.
  2. Each bid sever would push its log events/messages to a kafka topic.
  3. The offline-logging servers would connect to the specific topic as a kafka consumer and keep reading the log entries and writing to files.
  4. Periodically (currently every half-an-hour), the consumers would stop reading data and upload the files that got generated to S3, which would later be consumed by analytics systems.

architecture
The java process running in the offline-logging severs is a multi-threaded multi-layered appliaction with the important thread pools being as follows:

  1. Consumer Thread Pool: This is responsible for running one consumer per thread to read data from Kafka Broker
  2. File Thread Pool: The consumer thread pool would submit data to the File thread pool which would be responsible for compressing it and writing it to files.
  3. S3 Upload thread pool: Periodically (currently every half-an-hour), the consumer in the first layer, would stop consuming data from the kafka broker, close all the files that were being written to by the File Thread pool, and then inform the S3 Upload thread pool to upload the files generated from this consumer thread to S3. Once this is done, the offsets in the Kafka partitions would be committed, indicated that the data in the topic partitions from which the consumer was reading has been successfully uploaded to S3 upto the committed offset.

Challenges Faced

We faced several challenges, while implementing this solution. I am documenting some of them here:

Ensuring that data uploaded to S3 is complete and not redundant:
If you observe the design of offline-logging java process, it can be observed that there are multiple points at which if something fails, we could end up with missing data or redundant data uploaded to S3. For ex. if a file is uploaded to S3 from offline-logging server, but before it can commit the offset to Kafka, let us say the java process crashes. In this case, another offline-logging consumer would re-process the data of the partition (from the last committed offset) and we could end up with redundant data in S3. To address this, we suffixed each file with the partition and the offset from where it was read. So, if a partition data was re-processed from the last committed offset, this uploaded S3 file would just get overwritten.

Handling Kafka (Broker) Server downtime
It sometimes happens that we might have to move to a new Kafka server and so there could be downtime for Kafka broker. During this time, the jetty process running on bid sever would not be able to submit log events to the kafka topic. To overcome this problem, we run flume agent on each of our bid severs. The main jetty process which actually generates the log event, submits it to the flume agent running on the same machine, which in turn submits to kafka broker using its Kafka sink. In the event that the kafka server is unreachable, flume spools them locally (we are using FileChannel) and resubmits to kafka broker once it becomes available.

Flume throughput
Initially, we observed that flume was not able to submit data fast enough to Kafka. One of the major reasons was the flume batch size and transaction capacity was small. We realized that increasing the batch size and transaction capacity helped considerably. See http://blog.cloudera.com/blog/2013/01/how-to-do-apache-flume-performance-tuning-part-1/ for more information on this.

Disk and Network I/O bottleneck on the kafka server
We are using one c3.2xlarge for running the kafka server. We saw that the peak bandwidth on these instances is generally around 150 MB/s. We were further using EBS volumes for storing kafka data logs, which peaks out at similar bandwidth. Considering that we were generating about 100 MB of log data every second, and that this 100 MB data again had to be consumed by offline-logging servers as well, the single c3.2xlarge instance became a bottleneck as it couldn’t support 100 MB/s in as well as 100 MB/s out traffic. To work around this, we used snappy compression while pushing data from kafka. This helped us reduced bandwidth by 50%. Also, see http://nehanarkhede.com/2013/03/28/compression-in-kafka-gzip-or-snappy/ on an interesting comparison between using snappy and gzip compression for kafka.

Kafka broker throughput not increasing in spite of available CPU on the kafka server
We also observed that even when the number of bid severs were high, the CPU utilization of the kafka broker server was low and there was a backlog building up on the bid server side (in the flume agent). This was due to the lower number of io threads on the kafka broker. The solution to this was to increase num.io.threads in the Kafka broker.

Rebalancing of offline-logging consumers
Another edge case issue that we faced was related to consumer rebalancing in Kafka. Let us say that we have a offlien-logging server which is consuming data from a particular kafka topic partition. Now, after reading some data from this partition, let us say that partition rebalance has occurred and this partition is now consumed by another offline-logging sever. Now before this first server begins upload to S3, suppose rebalance again occurs and the partition is assigned back to this first offline-logging server again, then it would read data from the last committed offset and hence could end up with duplicate data. To address this, we wrote a rebalance notifier, which notifies whenever a partition rebalance occurs and in that case, the offline-logging java process would clear all data that it had written for that specific topic partition until then. So, if the partition is reassigned to the same offline-logging instance, it has no older data related to that partition. An alternative solution to this problem could have been using low-level consumers rather than high-level consumers, but then we would lose the flexibility of dynamically scaling up and scaling down offline logging instances in an elegant manner.

Key Takeaways

  • Increasing flume transaction capacity helps improve throughput
  • Use EBS Optimized instances in cases where you want reliable EBS bandwidth
  • Using compression helped us reduce disk and network bandwidth considerably on the kafka server
  • Increasing num.io.threads in the kafka broker helped increase kafka throughput and utilize CPU to the full
  • Higher read throughput on the kafka server is observed in times of backlog as data is no longer available from disk buffers and it has to be read from disk
  • Parallel stripe of LVM for EBS volumes does not help much as EBS bandwidth generally becomes bottleneck. On the other hand parallel stripe of ephemeral storage helps increase disk throughput (this was seen when we later moved our Kafka Broker to d2.2xlarge)

Make every ‘push’ count with Rich Media Push Notifications

When you think of push notifications, what immediately springs to mind is a generic, abstract message about a special sale or something similar, devoid of any value specific to each person receiving it. How many of us even read them, right? Although this is how Push notifications started out, brands have since gone big on data accumulation and analysis in order to introduce a personal touch to each message they send out to the user.
While Push notifications in android has been coming through very well with highest level of personalisation with images, rich media push are the latest must-have (with iOS 10 launching soon), in the race to hone the most effective communication channel between brands and users for iOS Push notifications.

Push Notification Best Practices

  1. A non personalized, badly timed push notifications seems like a half hearted attempt to engage your users and tell them something you think they would want to hear. Paying special attention to the content and timing of execution, in other words strategic optimization, yields better results in terms of convincing your customer to go ahead and take a look at what’s on offer rather than swiping the notification away.Personalization of various levels, including complete data crunching is the first step. Accounting for time zones and other preferences before sending out the push notification is the next. It’s almost like a carefully constructed CV: craft the perfect message and you’re in. Now how do you perfect it further? Rich media push is the answer.iOS-10-The-E-Commerce-Marketers-Guide-to-Push-Notification-900x500.jpg
  2. It’s not just your text that needs to be short and succinct. Push notifications that talk about a sale or a particular product and then take the user to the app’s home page or somewhere equally unrelated is a source of constant annoyance. That is the opposite of making life easy for your users.
    Multi-Product-Push-Notifications
    With rich media pushes, you can deep link precise links corresponding to the images or the content your push contains, reducing the steps to user conversion and thereby boosting conversion rates by as much as 3 times normal push notifications.
    All this is just scratching the surface. Come this way to check out our handy guide on how rich media pushes can give your notifications a new degree of perfection.

When to send Push Notifications?

Users do not voluntarily open their phones to read your push notifications, least of all if it is full of random text. They’re either going to be really distracted to read it completely, or simply eager to get rid of the message.
If you’re still going to send them one about a product you think they might be interested in, a related image has a much greater chance of piquing their attention rather than a description. Rich media lets you send push notifications with images or maps (basically any form of rich media content) in a bid to make it more appealing to the user at first glance.
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Vizury Engage launches Web Push Notification for BFSI

With the surge in digital content consumption and the time users spend on the internet in the BFSI industry, marketers are constantly on the lookout for new channels to engage with their users. Consumers come in touch with a brand at several digital touchpoints and they have grown to expect a consistent experience across.

Retargeting on display and social media has been the most prominent mode of reaching out to users who have dropped off from a brand’s website. Web push notification, as an off-the-site channel is the perfect addition which completes the engagement cycle.

What is Web Push Notification?

A new channel for user engagement that brings the ‘push notification’ capability of mobile phones to web browsers. This feature is powerful in a way that it enables the rare combination of the reach of web browsers with the effective engagement capability of push notifications.

Why Vizury Web Push?

A typical banking customer visits the bank’s website not more than twice a month. 95% of insurance customers don’t visit the insurance brand’s website more than once a month. The effectiveness of your website as a channel to engage these users is severely impeded.

These users are more often than not retargeted on display and social media which are paid channels.

Web Push Notification allows you to reach out to your users outside of your website without denting your marketing budget.

It is most powerful when used in sync with other channels conveying a consistent personalized message to the user.

Web push on Engage Finance – key features

  • Segmentation

Users can be segmented into existing customers, new prospects and first time visitors based on several parameters. Target audience for the push notification can be decided at the segmenting phase itself.

  • Personalization

The push notification can be personalized at a 1:1 user level with dynamic placeholders and user level personalized messaging. With Engage Finance, you can ingest offline data on top of your online behavioral data to enrich personalization.

Web_push-2.png

Benefits to Marketers

  • Easy integration and usability

Engage Finance can easily be integrated into your existing marketing system and an intuitive UI makes for extremely user friendly navigation

  • Part of omnichannel growth marketing stack

With Engage, you get to execute WPN along with a host of other channels – site personalization, site notifications, email, display and social

  • Consistent and personalized messaging at a user level along with other channels boosts user engagement and grow digital conversions

Click here for a demo of Web Push Notification on the Engage Finance platform.

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Vizury Engage launches Web Push Notification for BFSI

With the surge in digital content consumption and the time users spend on the internet in the BFSI industry, marketers are constantly on the lookout for new channels to engage with their users. Consumers come in touch with a brand at several digital touchpoints and they have grown to expect a consistent experience across.

Retargeting on display and social media has been the most prominent mode of reaching out to users who have dropped off from a brand’s website. Web push notification, as an off-the-site channel is the perfect addition which completes the engagement cycle.

What is Web Push Notification?

A new channel for user engagement that brings the ‘push notification’ capability of mobile phones to web browsers. This feature is powerful in a way that it enables the rare combination of the reach of web browsers with the effective engagement capability of push notifications.

Why Vizury Web Push?

A typical banking customer visits the bank’s website not more than twice a month. 95% of insurance customers don’t visit the insurance brand’s website more than once a month. The effectiveness of your website as a channel to engage these users is severely impeded.

These users are more often than not retargeted on display and social media which are paid channels.

Web Push Notification allows you to reach out to your users outside of your website without denting your marketing budget.

It is most powerful when used in sync with other channels conveying a consistent personalized message to the user.

Web push on Engage Finance – key features

  • Segmentation

Users can be segmented into existing customers, new prospects and first time visitors based on several parameters. Target audience for the push notification can be decided at the segmenting phase itself.

  • Personalization

The push notification can be personalized at a 1:1 user level with dynamic placeholders and user level personalized messaging. With Engage Finance, you can ingest offline data on top of your online behavioral data to enrich personalization.

Web_push-2.png

Benefits to Marketers

  • Easy integration and usability

Engage Finance can easily be integrated into your existing marketing system and an intuitive UI makes for extremely user friendly navigation

  • Part of omnichannel growth marketing stack

With Engage, you get to execute WPN along with a host of other channels – site personalization, site notifications, email, display and social

  • Consistent and personalized messaging at a user level along with other channels boosts user engagement and grow digital conversions

Click here for a demo of Web Push Notification on the Engage Finance platform.

{{cta(‘2c33348b-844c-4b3b-8417-7b0224c974a9′,’justifyleft’)}}

 

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