Ripple closed-loop Ecommerce ads automation

In this post, I’m discussing the ripple closed-loop ads automation in e-commerce and how to grow your sales using the data you already have. 

We will deep dive into the ads automation for E-commerce and how to utilize the ads automation on Facebook and Google.

Before we started. We created a Facebook group in case you were interested to know more about the ads automation and how to make self-growing ripples join us!

This section is assuming you have a new e-commerce store, and that you already have some customers, but before jumping into the ripple closed loops automated ads, I need to talk a little bit about the automation of the ads making sure we all are on the same page.

In order to start automated ads, you have to 

Install Facebook and Google pixels at your website, it’s a code snippet that you install to your website pages. 

The catalog that contains your products, sync of your products into Facebook and Google catalog module

Having those steps done, you can now create dynamic ads 

Dynamic Prospecting 

Dynamic Retargeting 

Dynamic Prospecting

: Facebook recommends your ads to audiences who are most probably interested in your products according to the data he has for their interests. Facebook controls what items to be shown in which order.

Dynamic Retargeting:

Retargeting your customers that broke the funnel at your website, trying to get them back to continue the business deal they started and never shaken hands on! Facebook recommends products to be displayed in which order to the customers.

The previous section is for the new-eCommerce as for the old ones that already have customers. The coming part is for you what we call the ripple closed loops ads. 

What I’m going to discuss next is the ripple effect and how to maximize the use of the data you already have to create infinite loops that generates new customers on every turn rocket-shipping your business. 

Let’s assume that you have 5000 customers, for the biggest part of your day you are focusing on getting new customers, however, your current customers are more likely to purchase faster than new customers. All it takes is to retarget him with what they might be interested in; it’s way cheaper than acquiring new customers and more effective. 

The thing is to effectively recommend what is the most interesting for them you need to have an internal recommendation engine, instead of showing ads for cross-selling in the checkout page, it will recommend it in the form of an ad, targeting the most likely to buy customers٫ 

Typically from what we found is that the data of the 5000 customers you have are not fully utilized, not even used correctly in most of the cases.

So typically if you are utilizing your data your funnel should be something like this:

Group of people visited your website, part of them decided to exit the journey at some stage, other part went through and became a customer, 

For the first part that exited early they are being targeted with ads trying to get them to buy, part of them will be your customer other parts will be out of the ads loop

For the two groups that became part of your custom audience you can use them to generate lookalike customers on social platforms. 

Those new custom audiences you can target them with ads, again part of them will go to your website and exit the journey you target them again once they are your customers create a custom audience and a lookalike audience and target the new custom audience with ads, and do all that again for the newcomers! 

If you were able to automate the processing of every new piece of data, coming to your store to be used to both target your customers to sell, and generate new lookalike audiences. That means that your system will be auto-scaling through a well-defined loop. 

The method I just mentioned, is being used at the ads platform through the Data Management Platforms. 

Data Management Platforms model customers’ data and generate lookalike audiences on the fly, it’s the process of generating lookalike audiences like the ones who interacted with the ads however they are totally anonymous. That was until 2008 then the landscape changed when more data specialized platforms appeared as such Customer Data Platforms.

Customer Data Platform is a platform that collects customer data and re-use the collected data in marketing.

The question here is what the tools you might use to be able to perform the ripple effect we discussed?

The direct answer, the biggest part of that you can do by yourself. Also, you can use any tool of the tools that are out there. Or you can use Convertedin which typically does all the mentioned above from a-z. 

Also you may join our specialized group to know more about the ads automation and how to make self-growing ripples join us!

 #Marketing #ads #advertising #facebookAds #google_ads

Boost In-Store Sales, The Digital Way

Recipe for In-Store Sales and Success: Bridging the Gap Between the Physical and Digital

Boost In-Store Sales, The Digital Way
Boost In-Store Sales, The Digital Way

It’s no secret that digital especially mobile-first technologies have not only changed the way customers shop, but also the way retailers boost in-store sales. From how we use our smartphones to discover stores and products to what we want our purchase experiences to be like.

Not to mention, eCommerce retailers who are armed with all the data around their customers’ visiting, browsing and buying behavior.

They use this very data to reach the right people, at the right time- with the right offer.

There is a form to request a demo or get more information at the end of the article. So please don’t hesitate to contact us if you have any questions or want access to our store analytics or re-targeting ads platform.

If you’re here, as a physical retailer you’re most likely evaluating where your store or chain stands. How can you boost in-store sales by tapping into digital technologies? How can you build a bridge between your physical brick-and-mortar and the chaotic digital world your customer love?

You Don’t Have To Distribute and Sell Online, But You Need To Attract and Market Online.

As a starting point, consider asking yourself:

  1. How can I learn about my visitors and customers so that I can send more effective and personalized offers?
  2. How do I digitally attract my ideal customers to come and buy from my physical brick-and-mortar store?
  3. When and How can I re-attract or retarget customers to keep coming back to my store?

All good questions- and the answers are right here.

1. Get Your Hands On Accurate Customer and In-Store Data

While eCommerce retailers track everything to offer better offers and experiences, physical retail stores remain data blind spots.

Beyond basic data points like footfall and total sales, brick-and-mortar stores fail to track customer activity, behaviour or patterns.

As a physical retailer you need to make sure that you’re not missing out due to a lack of high-quality data!

A simple, cost-effective and convenient approach would be to choose an all-in-one in-store analytics and targeting platform, like Pinoffer.

A platform that tracks and analyses all of your in-store customers, activities and sales.

retail analytics dashboard
retail analytics dashboard

Our dashboard specifically, tells you everything that happens in your store(s) or branch(es). Who your customers are, how much time they spend in your premises, what they like, what they buy, when they buy, how many leave without buying, how many come back and more.

To give your sales an even bigger boost, our platform uses this data to uncover shopping patterns and preferences.

That way, you can easily run interest and preference based campaigns and take your marketing and sales game to the next level (more on this later).

2. Digitally Target Ideal Buyers for In-Store Purchases

On an average, smartphone users in the US spend more than 3 hours a day on their mobile devices.

In essence, mobile can be a rewarding targeting and marketing channel. A channel to acquire your ideal customers and drive in-store traffic and purchase decisions.

A. Geo-fenced Proximity Targeting

Geo-fencing or Geo-targeting simply put, translates to targeting potential customers around a particular location. In this case, your physical brick-and-mortar store.

Although geo-localised technologies have been around for a while, too many retailers make the mistake of bombarding passersby with countless out-of-context offers. Be it through Google and Facebook ads or real-time notifications.

Here geo-targeting solutions like our platform, can help avoid those mistakes.

Essentially, you can direct relevant in-store offers and ads to ideal customers who are in the proximity of your store based on their mobile device location.

Remember: you can specify radius down to the last decimal. So, say you want to target people in the same mall as your store, you can!

And wait there’s more.

Combining location with other targeting factors like age, gender, etc can be a great way to reach and influence ideal buyers when it’s most convenient for them to stop by your store. Get in touch with us to learn more about how you can start leveraging geo-fencing and drive in-store sales.

3. Re-targeting Past Customers Online or On-Mobile

Today, physical retailers need to make sure that their stores remain relevant places where customers want to come back to. Again, digital can be the best hook.

A.  Facebook and Google Remarketing

What better way to expose past customers to personalised offers than reappear on two of their favourite platforms. We’re talking about targeted Facebook and Google ads.

With Pinoffer for instance, you can target promotional offers to past buyers based on a bunch of other factors. Factors like shopping history, proximity to your store, their preferences etc.

A great example of a Facebook Ad that targets past customers near its stores
A great example of a Facebook Ad that targets past customers near its stores

 

Your ads could be offering discount coupons for in-store purchases exclusively to past customers who’ve gone cold. Or like Macy’s, you could be advertising specific products to frequent buyers.

As long as you avoid spamming the wrong offer at the wrong time, targeted ad campaigns can be huge stepping stone for in-store sales.

B. Personalised SMS Retargeting

sms retargeting image
sms retargeting image

With a read rate of 98%, , SMS campaigns can expand your physical stores’ boundaries into your customers’ mobile devices.

For your SMS campaign to work, you want to make it as relevant and non-spammy as possible.

Again, location can be a key targeting factor. Say, if you want to send ‘exciting discounts,’ it makes sense to SMS past customers when they’re near your store.

Purchase history can be another targeting factor. You could be running campaign to announce new stock or first day of sale to your highest spenders. You could also be SMS-ing discount coupons to say customers who bought from you two months ago.

Needles to say, Pinoffer’s retention features let you do all of this, and then some.

In the long run repeat customers or the lack of them can make or break a business. You can make sure that you end up on the winning side.

At the end of the day, the more you connect your physical store to the digital world, the more in-store sales and revenue you’ll end up generating.

Get in touch with us and learn more about how you can take advantage of digital technologies and boost your physical retail sales.

It’s time to get creative with digital!

 

Pinoffer Introducing Location analytics and retention platform for venues

We’re super excited to finally to share what we’ve been working on

we are launching our Location analytics and retention platform.

venues analytics and retention
venues analytics and retention

 

TL;DR

Retailers, offline stores and venues now can have access to analytics and insight for there business by implementing pin offer SDK inside their mobile app and they can retarget and retain users by creating campaigns from pinoffer dashboard to target people by behaviors like “people visited specific store or place last week or months”.

publishers/mobile app owners can increase revenues by selling on ground ads and partnerships to advertisers whom want to target stadium for example . when user entered a geofence ( virtual point on map ) user will notified by ad

users will not be annoyed by ads because the ads will have a discount or offer

Example of geoFencing

geo-fencing example
geo-fencing example

How can pinoffer help venues and offline businesses?

PinOffer analytics allows storesand venues to find answers to the following questions:

1- What’s the Churn Rate in one branch of the store or in all branches?

2- What’s the Retention Rate of your store? What’s the percentage of returning users/visitors?

3- What’s the percentage of non-returning users/visitors who may have found a better alternative?

4- What kind of Ads did you use to bring visitors to your stores?

Location analytics dashboard
Location analytics dashboard

5- What’s your customer segmentation? How are they divided into males and females? What are their income rates?

6- How long do the users/visitors stay at your store?

Through Pinoffer analytics and retention platform, you can know your store-related analytics. It’s more like Google Analytics except that it’s for offline stores and not for websites.

How can pinoffer retargeting and help venues to retain their users?

 

PinOffer Platform for location analytics comes with a Retention and retargeting bonus so that you can launch advertising campaigns from within to target specific groups.

1- Push Notifications from your store app.

2- Target Ads for users on Publishers Network whom are members of PinOffer Advertising Network

3- Re-targeting on Facebook; users who visit your stores will be targeted by specific store Ads on the social network

 

PinOffer platform targets your store’s visiting customers via three different kinds of Ads:

retention platform
retention platform

 

When it comes to targeting types, PinOffer works with the known targeting type of Advertising platforms + new types of targeting.

You can target customers who visited your stores during the past week or past month. or

You can target customers who did not visit your stores for a week or for a month. or

You can target one-time visitors.

How does it works?

its Easy you can integrate our SDK inside your mobile app few line copy and past and its done. now you can access to your dashboard and see your analytics.

 

pinoffer sdk

1 line of code sdk
1 line code sdk

pinoffer sdk

 

in exchange for users’s data pinoffer will send your discounts and offer to users.

 

But why direct offers and discounts are considered better than loyalty programs?

Loyalty vs discounts
Loyalty vs discounts

According to Microsoft statistics, 89% of users prefer getting discounts in return for sharing their personal information with companies while 65% of users prefer subscribing to a loyalty program in return to sharing their personal information.

This is how PinOffer started to build its platform and mobile app. for offers and discounts it presents to companies in the form of white labels.

 

What are the tools that Pinoffer presents to companies?

PinOffer has several solutions including SDK for analytics that companies can work with. SDK uploads customer related-analytics to PinOffer analytics platform after users’ agreement.

 

PinOffer has an SDK embedded app. for companies. If the company doesn’t have a mobile app., it can get one from PinOffer that is linked to the analytics and targeting platform.

and we will keep you updated with product update