So Black Friday’s Over - What Now? Activating New Customers and Driving the Repeat Purchase Rate
The Black Friday / Cyber Monday period brought a surge of new customers and transactions, generating a treasure trove of data. But what comes next? For brands looking to transform those one-time buyers into loyal customers, the answer lies in refining and leveraging their data effectively.
Here’s how your data refinery can be the catalyst for turning Black Friday success into long-term customer activation and retention.
1. Achieve Success Through Data Consolidation and Enrichment: Before you can act on your Black Friday insights, you need to make sense of the data. The influx of transactions during Black Friday creates fragmented datasets from multiple sources—sales channels, email sign-ups, and touch points. Consolidating and enriching this data is foundational to achieving the other strategies in this blog. (Don’t panic if this isn’t in your skillset or organisational capabilities – we can help here!)
Here’s how to get started:
- Collect and unify: Aggregate data into a central database for a clear, complete view of each customer.
- Clean and enrich: Eliminate duplicates, standardise formats, and fill in missing information with advanced tools.
- Leverage open data enrichment: Enhance your understanding of new customers by augmenting your dataset with external data sources. This might include demographics, location-based insights, or behavioural trends that add valuable context.
- Segment intelligently: Organise customers into actionable groups based on their behaviour, demographics, and purchases.
Tip: Open data enrichment can help you uncover valuable insights about your new customers, such as lifestyle patterns, preferences, or regional influences. Use these insights to make your campaigns even more targeted and effective.
2. Use Data to Understand Intent and Behaviour: Not all Black Friday customers are created equal. Some came for a one-time deal, while others show potential for loyalty.
Analyse the data to:
- Identify high-value segments: Look for customers with high Average Order Value (AOV) or multi-item purchases.
- Spot patterns: What products or categories resonated most with new customers?
- Gauge future potential: Use predictive analytics to identify which customers are most likely to become repeat buyers.
3. Automate Personalised Follow-Ups: Data refineries enable hyper-targeted communication.
Use automation to activate new customers with:
- Welcome campaigns: Introduce your brand, mission, and additional offerings.
- Upselling opportunities: Suggest complementary products based on purchase history.
- Identify engagement triggers: What data markers are there that you can use to spot when a customer is becoming more engaged with your brand and ready to repurchase?
4. Refine Offers Using Micro-Segmentation: Generic discounts won’t cut it.
Refine your promotional strategies using data insights:
- Tailored incentives: Offer exclusive deals or loyalty points based on customer segments.
- Localised campaigns: If your data shows regional trends, customise offers for specific markets.
- Experimentation: Test different messaging, formats, and channels to determine what drives the best engagement.
5. Enhance Retention Through Post-Purchase Insights: The data doesn’t stop at the sale.
Black Friday provides a starting point to refine your customer experience:
- Delivery performance: Monitor and optimise shipping times and satisfaction levels.
- Return trends: Use data to identify common reasons for returns and mitigate future issues.
- Customer sentiment: Analyse reviews, support tickets, and feedback for actionable insights.
6. Build Long-Term Loyalty with Data-Driven Engagement: Repeat customers are built on trust and value.
Use refined data to:
- Launch loyalty programmes: Reward customers based on their purchase frequency or value.
- Foster community: Engage customers through targeted social media campaigns or exclusive events.
- Encourage advocacy: Identify your most loyal customers and incentivise referrals or testimonials.
7. Measure Success and Iterate:Your data refinery should continuously evaluate and optimise efforts:
- Track retention KPIs: Monitor metrics like Repeat Purchase Rate (RPR) and Customer Lifetime Value (CLV).
- Cohort analysis: Understand if Black Friday new customers contribute the same as new customers from other times of the year.
- A/B test campaigns: Use data to refine strategies and messaging.
- Scale successful tactics: Apply learnings across your broader customer base for maximum impact.
The Refinery Advantage
Your Black Friday haul isn’t just a sales spike—it’s an opportunity to build deeper customer relationships and top up your Brand Advocacy pipeline. By consolidating and enriching your data, you can gain new perspectives on your customer base, tailoring your strategies to meet their needs and expectations.
So, what now? If you’ve got to the end of this and are stuck because you don’t have the data tools you need to do this don’t worry – we can help there. The Data Refinery is a data engine that empowers teams to do all of the above – without needing any data engineering or data science experience. It’s all there and set up for you ready to help you explore and start activating your new customers.
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