Use case description

🎯 Goal:

Collect more personal Data about new users (like an email address) for a better engagement with them.

Display a banner for new users only, and offer them an incentive: discount % if, for example, they subscribe to the newsletter, install the app or create a new account.

🔧 Complexity: 1/5

💰 ROI: Medium

Use case setup

Step 1: create a segment for new users

Step 2: two options are possible here, use TagCommander or use a partner personalization solution

Use case description

🎯 Goal:

Convert hesitant customers

Detect hesitant customers: they have viewed products from a certain category at least a few times but have not made a purchase. We can push them a dedicated pop-in message with a % discount and/or free shipping.

🔧 Complexity: 2/5

💰 ROI: High

Use case setup

Step 1: create a segment for hesitant customers

Step 2: two options are possible here, use TagCommander or use a partner personalization solution

Use case description

🎯 Goal:

Create custom audiences to send to Facebook, Google, Criteo…

Depending on their behaviour (product view, email opened, add to cart…), CRM information or any actions your customers performed, create advanced segments and activate it on our partners’ ad network: Facebook, Google, Criteo…

Then create relevant and personalized ads for these users coming from your segments.

🔧 Complexity: 1/5

💰 ROI: Medium

Use case setup

Step 1: create a segment, like for example with customers who saw your latest product but didn’t buy on the last 2 days (not online, not in shops)

Step 2: create a stream to push your segment to partners like Facebook, Google, Criteo…

Step 3: on our partners’ platform, create relevant and personalized ads and activate it for the audience previously sent to the partner you selected.

Exclude audience

Stop exposing a specific audience to a campaign.

Customers who just bought, lost customers… don’t expose them anymore and avoid spending too much money for customers who are not interested anymore. Moreover, manage the exposure capping.

For example, you want to target customers who saw a specific product but didn't buy. But you don't want to target users who just bought this specific product offline, in your shops. Simply create 2 segments, push them to the partner and use one for targeting and one for exclusion.

Use case description

🎯 Goal:

Promote complementary products with an offer and boost the revenue.

Email customers who viewed a specific product and offer them a discount on a complementary product (example: buy a projector and get a discount on a projector screen).

🔧 Complexity: 2/5

💰 ROI: High

Use case setup

Step 1: create a segment ‘viewed product X’ or ‘viewed product category X’ and no order

Step 2: create a stream to send users in segment previously created to an emailing solution

Use case description

🎯 Goal:

Encourage customers to download the app

Applications are keys to engage new customers and retain them because it allows businesses to communicate directly with their customers using ads, promotions, and notifications. Push new customers to install the app with an incentive is important to keep them activated.

🔧 Complexity: 2/5

💰 ROI: Medium

Use case setup

Step 1: create a segment for customers who never used the app

Step 2: two options are possible here, use TagCommander or use a partner personalization solution

Use case description

🎯 Goal:

Push products in a cross/up sell logic.

Send products recommendations through a personalized email or directly onsite.

🔧 Complexity: 2/5

💰 ROI: High

Use case setup

Step 1: create a segment ‘viewed product X’ or ‘viewed product category X’ and no order

Step 2: create a stream to send users in segment previously created to an emailing or online personalization solution

Use case description

🎯 Goal:

Increase Customer Lifetime Value, boost customers loyalty and avoid churn.

Flag your customers based on their behaviour to switch from one status to another (Gold, Silver…). Define rewards and gains for each status and communicate by email any changes or promotion.

🔧 Complexity: 2/5

💰 ROI: Medium

Use case setup

Step 1: create new Augmented User Attributes to FLAG your customers according to their status (define conditions to enter and exit flags). 1 flag per status

Step 2: create segments based on flags previously created (=fidelity status) and more conditions if needed. 1 segment per status

Step 3: create streams to send users in segments previously created (to an emailing solution for example)

Use case description

🎯 Goal:

Detect customers with a churn risk and activate them.

Use RFM segmentation to build a churn risk audience segment and send a dedicated campaign (‘miss you’ campaign, survey…)

🔧 Complexity: 2/5

💰 ROI: Low

Use case setup

Step 1: create a segment with conditions representing a churn risk (use Augmented User Attributes feature to create score/ratio/flag/Boolean representing a churn, like for example number of orders in the last 6 months, number of visits, clicks…)

Step 2: create a stream to send users in segment previously created to an emailing solution

Use case description

🎯 Goal:

SMS with favourite store incentive for loyal customers.

Drive traffic to stores with customers with a high propensity to buy.

Send a personalized SMS with a discount valid only in the customer’s favourite shop (regarding his past purchases).

🔧 Complexity: 2/5

💰 ROI: High

Use case setup

Step 1: create a new variable ‘favourite_store’ and import values

Step 2: create a segment with conditions to target loyal customers

Step 3: create a stream to send users in segment previously created to an SMS solution (send the variable favourite_store to personalize the SMS sent)

Use case description

🎯 Goal:

Encourage customers to share their customer experience and give some feedbacks about products or services bought.

Target customers who bought without contacting the customer service and send them a communication.

🔧 Complexity: 2/5

💰 ROI: Medium

Use case setup

Step 1: create a segment ‘have an order in the last 2 weeks and didn’t contact the customer support’

Step 2: create a stream to send users in segment previously created to an emailing solution

Use case description

🎯 Goal:

Convert customers who added items to their cart but didn’t buy.

Send a personalized email or mobile push notification to try to convince them to finalize their purchase.

🔧 Complexity: 2/5

💰 ROI: High

Use case setup

Step 1: create a segment ‘added item(s) to the cart but no order in the last 2 days’

Step 2: create a stream to send users in segment previously created to an emailing or push notification solution. Add product details variables to push products added in the cart

Use case description

🎯 Goal:

Encourage customers to post pictures on social media using a specific hashtag linked to your brand. Organize a contest and the top 5 most active customers will get a reward.

🔧 Complexity: 2/5

💰 ROI: Medium

Use case setup

Step 1: create a segment to target customers between 18 and 24 years old

Step 2: create a stream to send users in segment previously created to a social media partner (online advertising)

Use case description

🎯 Goal:

Create similar audience segments from your best customers. Send your best customers to our partners (Facebook, Google, Criteo…) and let them find similar profiles on their database.

Then create relevant and personalized ads to activate these similar users.

🔧 Complexity: 1/5

💰 ROI: Medium

Use case setup

Step 1: create a segment, like for example with customers with a CRM status = VIP

Step 2: create a stream to push your segment to partners like Facebook, Google, Criteo…

Step 3: on our partners’ platform, create a lookalike audience based on the segment you just pushed

Step 4: create relevant and personalized ads and activate it for the new lookalike audience

Use case description

🎯 Goal:

Avoid churn after a bad customer experience

A bad customer experience is one of the main reason for a churn. Identify customers who had a contact with the customer support in the last 2 weeks and send them a dedicated campaign / offer / survey.

🔧 Complexity: 2/5

💰 ROI: Low

Use case setup

Step 1: create a segment ‘contacted the customer support in the last 2 weeks’

Step 2: create a stream to send users in segment previously created to an emailing solution

Use case description

🎯 Goal:

Detect when customers are not reacting anymore to your communication and change to the most preferred channel.

In order to personalize the communication with customers, identify preferred channel. For example, if customers didn’t react to any of your email, try to send an SMS or push notification instead.

🔧 Complexity: 2/5

💰 ROI: Low

Use case setup

Step 1: create new Augmented User Attributes to add new metrics related to customers activities: number of orders in the last 2 months, number of visits, email opened, clicks…

Step 2: create a segment to target customers without email opened in the last 2 months for example

Step 3: create a stream to send users in segment previously created to an SMS or push notification solution

Use case description

🎯 Goal:

Answer to customers expectations, reduce call center traffic and increase loyalty.

Notify your customers when an order is delayed, this will reduce the call center traffic and bring more interactions with customers by giving them more info. If needed, you can add also an incentive for next purchase as compensation.

🔧 Complexity: 2/5

💰 ROI: Low

Use case setup

Step 1: create a new variable order_delay = True / False and import values

Step 2: create a segment with order_delay = True

Step 3: create a stream to send users in segment previously created to an emailing or push notification solution

Use case description

🎯 Goal:

Encourage customers to share with their friends your offer/products and offer a reward if one of their friend buy.

🔧 Complexity: 3/5

💰 ROI: High

Use case setup

Step 1: create a segment to target buyers on the last 6 weeks

Step 2: create a stream to send users in segment previously created to an emailing solution