Effective ways to increase sales in eCommerce

Every eCommerce site wants to increase its sales. To increase your eCommerce store, you need to know that how to market your store online. In the current scenario, the demand for an eCommerce store is increasing day by day.

Even if you have handsome traffic and not getting expected sales or revenue, then here are some coolest ways given to increase your sales traffic. By you trying these tactics, you definitely drive more sales.

1. Optimize Your Mobile view:
2. Make Your Checkout process easier:
3. Show trustworthy icons:
4. Improve email & AdWords campaigns:
5. Do upsell & cross sales:
6. Add Custom options in Product page:

There are maybe other ways to increase sales for an eCommerce store. Seven tips are given here to increase sales. You can more analyze your site through google analytics. You can define a strategy for promoting a particular product.

Most effective way of logging user query activity

We are logging and permanently storing all the queries performed about private persons in our database. Due to GDPR we need to be able to show all the entities who have requested personal data and the timestamps. The queries can be single or batch involving hundreds of thousands of individuals.

What is the most cost-effective way of keeping such logs? The primary index should be the unique personal code which allows efficient retrieval of query information. For analytics purposes we sometimes need to index by entity and/or query date, but this doesn’t need to be optimized. The number of unique personal codes is about 1.5 million and the number of entities is ~300,000 and growing.

I have tried InfluxDB, but the limitation is that the time makes up a part of the key and batch queries will contain the same timestamp. I have tried storing the data as JSON in a relational database but it takes too long to update both single and batch entries. With DynamoDB the problem was batch write efficiency. It took 2 hrs to batch write million items at 500 WCU.

The data could look like this:

{'personal_code':123456789,  'data_requests':{     'entity_1':{         'query_type_1':['2018-09-25 12:00:00.000000',...],         'query_type_2':['2018-10-02 12:00:00.000000',...]         },     'entity_2':{         'query_type_1':['2018-09-25 12:00:00.000000',...],         'query_type_2':['2018-10-02 12:00:00.000000',...]         }     } } 

And the goal is to use as little hardware resources as needed to achieve <2 sec latencies retrieving the data by personal code and appending new timestamps to the arrays.

History table implementation: “Tuple-versioning” vs Effective Date

I’m designing a database that will have history tables (SCD Type 4 I guess) for auditing purpose.

The question is what are the advantages of having tuple-versioning (start and end dates) vs just effective date?

1) tuple versioning

CREATE TABLE HistoryTable (    Column1   Type1,       :        :    Columnn   Typen,     StartDate DATETIME,    EndDate   DATETIME ) 

2) effective date

CREATE TABLE HistoryTable (    Column1   Type1,       :        :    Columnn   Typen,     EffectiveDate DATETIME ) 

For (1) so far I see disadvantages – I have to update [end date] on the previous history record while inserting new/current one.

For (2) I can only insert new record without searching and modification the previous one.

From query point of view both approaches look quite the same.

Drive Clicks through Effective Meta Descriptions

The search engines decide what to show in your search results based on what they think best suites the user’s search. If you write really good meta descriptions then you increase the likelihood of what your wrote showing:

Quote:

..Many people tend to leave meta descriptions blank without realizing the effect it has on search results. A powerful meta description leads to a rise in click-through-rates which boosts the SEO ranking of your page. Simply put, they form the first impression of your website, so you rather make it a good one…


How to drive clicks through effective meta descriptions