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How eCommerce analytics can overcome festive season/ mega campaign sale challenges

Updated: Nov 5


Overcome Diwali, Christimas, and festive season sale challenges with eCommerce analytics

While festive and mega-campaign sale season is a great business opportunity, it comes with its own challenges. But sale season is not the time for errors, you need to be able to capitalize on consumer’s willingness to spend. 


In this blog, we will cover the challenges associated with running festive/mega-campaign sales. We’ll also deep dive into how you can overcome these challenges easily without breaking a sweat using advanced eCommerce analytics.



Challenges online sellers face during festive/mega campaign sale seasons 


Some of the key challenges faced by online sellers during the sale season include: 


1. Increased competition

The eCommerce industry is usually busy during holidays, festivals, or mega sales. 

Competition rises between stores, between marketplaces, and between marketplaces and stores. 


This heavy saturation makes it hard for companies to be unique and capture their target audience. It is crucial for sellers to be unique in one or more ways such as offers, express delivery or appealing marketing campaigns.


2. Higher Costs 

The increased competition means businesses fighting for the same spot — so whoever is willing to pay more wins! 

  • Cost for advertising: As demand for ad space skyrockets, so do the prices. Cost-per-click (CPC) and cost-per-impression (CPM) rates often surge, making it expensive to maintain visibility and attract customers

  • Inventory management costs: Sellers need to stock up to meet increased demand, leading to higher storage costs and the risk of overstocking. Balancing inventory to avoid stockouts while minimizing excess is a delicate and costly process.


3. Logistic challenges: Increase of Return-To-Origin (RTO) rate.

During such seasons when orders are spiking, it usually puts pressure on the logistics networks. This leads to delivery delays and increased Return-To-Origin (RTOs). 


RTO is a situation when people are unable to deliver an order so the package has to be returned to the seller which incurs more shipping costs, potential product damage, and customer dissatisfaction. 


Managing these logistical hurdles while maintaining customer satisfaction becomes a significant challenge. 


4. Customer Behavior

There are changes that take place in customer psychology and behaviors during the festive seasons. Consumers may exhibit different purchasing patterns, preferences, and spending habits compared to other times of the year.


They might also exhibit a high desire for deals and discounts. Importantly, as these shifts occur in real-time, it is essential for sellers to rescale their operations and offerings to leverage the spike in traffic and convert it into sales.


5. Strategic planning 

Devising strategies for these peak sales seasons comes with a lot of intricacies. Sellers are required to:

  • Accurately forecast demand for various products

  • Accurately predict future product sales

  • Conduct promotional strategies that fit the holiday theme

  • Distribute strategies across multiple channels and product types

  • Apply pricing strategies that are competitive yet profitable

  • Ensure website performance can handle traffic spikes

  • Prepare customer service teams for increased inquiries

The stakes for getting these factors right are extremely high because such periods typically lead to a large share of sales within a calendar year.


5 ways eCommerce analytics can overcome the challenges


Sale season is not the time for errors, you need to be able to capitalize on consumer’s willingness to spend. Here are five tried-and-tested ways advanced eCommerce analytics can help you.


1. Trend analysis

Advanced eCommerce analytics capabilities allow you to predict trends and preferences for any future sales season, giving you a unique advantage over your competitors. This is done by analyzing past sale season data and making accurate predictions so you can be prepared with the right inventory levels, discount percentages, product lines, and more.


By continuously monitoring customer behavior, market shifts, and industry developments, tools like Graas can pinpoint both potential opportunities and threats to your business. 


It presents these insights in a clear and actionable format, categorizing them as opportunities or threats and prioritizing them based on their potential impact on your gross merchandise value (GMV).

Graas' GMV analysis

Another important area that eCommerce analytics can help with is in identifying better cross-sell and up-sell opportunities.


During the festive season, consumers are spoilt by the sheer amount of choice and discounts available. This, in turn, means that people will, and do, leave brands at the slightest hint of inconvenience.


To survive and maximize during this season, you need to create and deploy strategies that help you connect with customers, persuade them to shop with you, and become loyal to your brand. 


2. Geo-targeting

One of the biggest advantages of digital advertising is the ability to target your ads to the right audience. In fact, 72% of marketers say that targeting the right audience is the most important factor in the success of their ad campaigns. 


With advanced eCommerce analytics, you can use location-based analytics to tailor campaigns regionally. This means being able to develop region-specific campaigns that are culturally on point and allocate ad budgets accordingly as well. 


Here’s an example of location-based ads from Zomato -


Zomato ad
A Zomato ad in Bangalore

Zomato ad
A Zomato ad in Hyderabad

If you're an online store selling high-end women's handbags, your primary audience might be professional women aged 25 to 45 with a high income level. You can use demographic, interest, and behavioral data to ensure your ads are served to this audience. 


You can then take this ad to the next level by identifying your top-performing city like Bangalore perhaps and run more ads in this area because the ROI will be better.


Additionally, use negative keywords to prevent your ads from showing up in irrelevant searches, such as "cheap women's handbags." Consider using advanced targeting features like location targeting or dayparting to reach your audience when they are most likely to engage. 


3. Efficient inventory management

With eCommerce analytics in place, you can get easy yet impactful product analysis of:

  • Hero Products (High traffic, high GMV): Standout items in your catalog, consistently delivering top-notch performance. Focus on them so you can maintain your position.

  • High Potential Products  (Low traffic, high GMV)​​: Rising stars within your lineup who show promise. Refine your marketing and promotions strategy so they become key contributors.  

  • Low Performer Products (Low traffic, low GMV): Products that have seen some interest from buyers, but have not actually resulted in sales. Focus on improving your conversions.

  • Non-Performing Products (High traffic, low GMV): Products that attract significant buyer interest but fail to convert into sales. These items require immediate attention to identify and address conversion barriers, potentially through pricing adjustments, improved product descriptions, or enhanced visuals to capitalize on the existing traffic and boost revenue.

With this data, you can easily modify your inventory stock levels before the sale season starts so you’re better prepared and don’t miss out on any conversion opportunity.


With tools like Graas, you can even get a detailed analysis of forecasting demands based on other external factors like season type, festivity, etc. 


4. Optimizing marketing and ad campaigns

Predictive analytics have helped eCommerce to synthesize big data into executable strategies that reallocate resources better.


For instance, let’s say you are running several promotional campaigns through Meta and Google Ads for the same product. Instead of just randomly splitting the money into two channels, predictive analysis can be used to determine what ROI is likely to be for each campaign.


The predictive models for ads, customer engagement, and conversions, in this case, take historical data into account to help determine which ad platform is likely to make the most money.


Furthermore, accurate attribution is essential for identifying the true impact of each marketing channel on your sales and overall business growth.


With the right eCommerce analytics tools, you can ensure that each sale is attributed to only one channel. This precise attribution helps you determine which marketing channels are performing best and which ones need improvement. By gaining clear insights into your top-performing and least-performing channels, you can make informed decisions on budget allocation. 


Deciding whether to allocate more budget to Meta Ads or Google Ads will become much easier with accurate attribution data. This approach ensures a balanced strategy that not only drives conversions but also maintains the right level of brand awareness.


5. Enhancing customer service by identifying potential roadblocks

Analyze your customer’s shopping behaviors. Understand the journey each customer had with your brand, such as their frequency of shopping, when they engaged last, what’s their past-purchase track record like, etc.


Using this data, you can easily identify pain points in the buying journey and offer better user experience (like faster site speed) and customer service (like faster delivery options).

You can also create a customer journey map that’s specific to the festive season.


Creating a customer journey map lets you understand how your customers interact with your business and can help uncover ways to improve interactions throughout touchpoints - and this includes your offline stores.


Here’s how you can start mapping customer journeys:

  • Use your created customer personas to understand customers and their interests clearly.

  • Build a list of all important interactions your customers have to stay connected with your business. For instance, point of sale at offline stores, website visits, social media, emails, in-store visits, and mobile apps.

  • Connect offline to online. Leverage intelligent technology like POS systems and CRMs to integrate customer interactions - both online and offline.

  • Refer to customer feedback. Check what customers have to say about what channels work for them and what may need more improvement.


Leverage Graas for advanced eCommerce analytics


To overcome these challenges and capitalize on festive season opportunities, businesses can turn to Graas for comprehensive eCommerce analytics solutions.


Graas provides comprehensive analytics solutions that empowers businesses to make data-driven decisions, optimize their strategies, and maximize profitability during mega sales.


With Graas, you can unlock the full potential of your eCommerce business with our all-in-one platform. With our seamless integration across all your data sources, powerful analytics, and cutting-edge AI tools, we've got everything you need to skyrocket your online business to new heights during the festive season.

 

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