Hilton Honors free award night certificate booking trick


One of my favorite perks of my Hilton Honors American Express Aspire Card is the free night certificate it offers every year. It’s probably the main reason I keep the card year after year despite its high annual fee.

You see, free night certificates are good at nearly any Hilton hotel or resort in the world, which means you can save hundreds, or even thousands, of dollars on a night, depending on where you redeem them. Personally, I try to save mine for use at high-priced Waldorf Astorias or Conrad hotels around the world.

That said, there are a few restrictions to keep in mind.

First, you need to find standard award availability, meaning that a room in each individual hotel’s “standard” category is available. Second, each certificate is only valid for 12 months from the date of issue, so use it or lose it.

ERIC ROSEN/THE POINTS GUY

Third, you either have to call Hilton in order to book a room with your certificate or through the app’s online chat feature – you cannot just book it via Hilton’s website like a normal paid or award night.

But it’s easy to track these certificates in your Hilton Honors™ account, either online or in the app, and they’re super flexible since they are good for any night of the week.

Use this booking trick to find more award availability

When I tried to use my Hilton Aspire’s annual free night certificate last year for a one-night stay at the Waldorf Astoria Amsterdam, I ran into an issue I hadn’t encountered before.

During my initial search online, I did not see any standard rooms available at the hotel for the night I needed.

HILTON

I decided to check back a few days later on the Hilton app on my phone, and lo and behold, there was a night available! I couldn’t just book it directly using my certificate, I had to call Hilton to do so.

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But when I called them, the agent told me she did not see any award nights available. I told her exactly what I was looking at in the app: A Queen Deluxe room available for 150,000 points (yes, that’s actually the standard rate!).

She said all she could see was a King Deluxe Room for … wait for it … 486,000 points, even though the nightly rate for that room was just around $20 more.

Sitting at the singles table

Puzzled, I looked at the app again, and that’s when the lightbulb went off. She had run a default search for a double-occupancy room, whereas my default setting was for single occupancy.

I told her I’d be traveling solo and asked if she could please search again for a room for just one person. And that did it: She saw the same Queen Deluxe room that I wanted to book for the correct points rate and was able to apply my free night certificate.

HILTON

Hidden in plain sight

I had almost lost out on a very valuable hotel benefit because of a simple quirk in hotel booking engines and how hotels categorize rooms.

This is a particular issue at smaller hotels like the Waldorf Astoria Amsterdam, which has just 93 accommodations across over a dozen room and suite categories, but only a handful are categorized as “standard.”

So if I hadn’t had my solo travel default setting, I would never have found the award night I needed, and I would have missed out on nearly $2,000 in value.

ERIC ROSEN/THE POINTS GUY

Yes, you read that correctly.

The room I originally reserved would have cost about $1,415 for the night. But thanks to the Hilton Honors Diamond elite status I also hold, thanks to my Hilton Aspire, I actually received an upgrade of several categories to a King Grand Premier with Canal View room, which would have cost $2,440 – over $1,000 more!

Not only that, but thanks to my elite status, I also enjoyed a sumptuous breakfast the following morning at the hotel’s restaurant, Goldfinch Brasserie, which included pastries, fruit, charcuterie and a variety of a la carte hot dishes, which would have cost me $65 extra.

Cautions and caveats

Let me stress that one of the reasons this worked was because I was, in fact, traveling solo, so I could book that room for a single traveler, and I just happened to get upgraded.

If I’d had my husband with me, it wouldn’t have been an issue, since I ended up with a room certified for double occupancy. But it would have been a gamble, especially if I had been in the city at a busy time of year (my stay was on a mid-October Sunday evening).

ERIC ROSEN/THE POINTS GUY

That said, the chance of an upgrade on a single-night stay is better than that of a longer duration, and he’d get free breakfast as well, thanks to my Diamond status, so i’d be willing to take the risk.

After all that confusion, my stay at the Waldorf Astoria Amsterdam was a dream and it remains one of my favorite hotels in the city. I had a lavish room overlooking the picturesque Herengracht canal, the staff was genuinely cordial and welcoming (including a delicious plate of macarons and Dutch clog-shaped chocolates I received as a welcome amenity), and I loved having another chance to explore the historic houses that comprise the hotel.

Now that I know the trick to finding standard room award availability there, I’m already thinking about how to use next year’s free night certificate for another stay.

To learn more, read our full review of the Hilton Aspire.


Apply now: Hilton Honors American Express Aspire Card




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Looker Data Actions – Table of Content

What is Looker?

Looker is an enterprise for BI- Business Intelligence tool, embedded analytics, and a data application platform. Looker became a part of google cloud in 2020, and from then, Looker provides users to create and share insightful visualisations of the data. It is a web-based or on-premise tool. It collects, visualises, and analyses data, but starting with Looker requires heavy effort as we have to format and model data in a particular way with LookML; it can not process data and create reports independently. Google cloud’s & Looker data analytics platform will provide options to deliver value with robust and new insights.

What are Looker Data Actions?

Looker actions is a data activation tool that analyses data in real-time, and data activation is a method to turn insights into actions. With Looker API calls, users can perform tasks in other tools, and LookML triggers an API call in a particular field. Data activation is generally done by picking up clean and modifying data from the data house and sending it back to business teams like marketing or sales.

Looker actions mainly focus on sending data back to business users, and they get real-time data and act accordingly. Looker tools support work within other tools too. Tools like slack, updating values, warning team members in tools, sending emails, and automating them are the popular ones that are used.

Why Data Actions?

Looker data actions helps in achieving the following things for an ease.They are:

  • One can easily update salesforce records form a single page.
  • You can easily manage the support tickets.
  • You can easily tag an dpritoize the github issues.
  • You can easily monitor the adword spend.
  • Enable the trigger tailored emails on command.

Looker takes an advanced approach to analytics, making it simple to build dependable data applications that enable any user to explore, analyze, and comprehend the data they require.

Data Actions, which are based on our extensive APIs, allow users to perform tasks across nearly any other application from a single Looker interface. Stop forcing your team to switch between tabs and tools to complete routine tasks.

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Looker Data Actions:

Using Looker’s standard tools, you can move through your workflow quickly. Looker Actions enables us to create and act on your data. From interacting with your users to revamping records in any of the application domains you use, you can do it all.

Here is the list of looker data actions. They are:

Slack:

Notify your team of changes in activity directly from Slack.By directly injecting data into conversations, you can directly answer important questions.Custom commands that query Looker directly through Slack can be distributed to the rest of your company.

Segment

Looker email cohorts can be easily managed by sending lists to Marketo, Hubspot, Airship, and other services.With the click of a button, you can activate win-back and upsell campaigns.

Twilio:

Ad-hoc sends allow you to quickly send a text message to any phone number in your database from Looker. It doesn’t matter if you’re sharing your knowledge by sending data or simply creating a custom message on the fly.Schedule text messages – sharing insights with customers is an effective way to build relationships. Schedule data delivery to those who require it the most at your preferred interval. Use the Twilio Action to set up text alerts to easily notify customers when something happens, such as a delay in an order or an outage on their instance.

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Zapier:

With the Tray Action, users will be able to seamlessly integrate Looker queries into their daily workflows. Upload data to a cloud storage solution, distribute reports via an email list for the team, or even send reports to customers. Use this Action for a variety of scenarios with Zapier’s extensive integration list, the sky’s the limit.

Salesforce:

As you progress through the sales cycle, update the contract value of each new deal.

Twilio:

Use Twilio to send promotions, customer satisfaction surveys, and other notifications to customers.

Exavault:

Schedule the SFTP delivery of Looker dashboards, visualizations, or data to ExaVault. Avoid email size restrictions and ensure that your Looker data reaches the people and systems that need to process and analyze it. The following are some examples of use cases for this Action:

  • Sending daily sales and inventory automatically
  • Reports are automatically sent to colleagues and partners.
  • Schedule data collection to ExaVault.

Amazon Sagemaker:

Using machine learning algorithms on Looker data, use Amazon Sagemaker to predict, forecast, or classify data points.This Action allows you to send the results of a Looker query to XGBoost or Linear Learner to train a model for regression or classification, or to perform predictions on the results of a Looker query using a previously trained model. The Action is made up of three parts:

  • Amazon Sagemaker Train: XGBoost – uses the output of a Looker query to train an ML model with the XGBoost algorithm for regression, binary, or multiclass classification.
  • Amazon Sagemaker Train: Linear Learner – uses the output of a Looker query to train an ML model with the Linear Learner algorithm for regression, binary, or multiclass classification.
  • Amazon Sagemaker Infer : operates a batch inference job against the output of a Looker query using an existing Sagemaker ML model for target prediction.

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SendGrid:

  • Ad-hoc sends allow you to quickly send an email from Looker to any email address in your database. Whether it’s sharing your knowledge by sending data or simply creating a custom message on the fly.
  • Schedule emails – sharing insights with customers is an effective way to build relationships. Deliver scheduled data to those who need it the most at the interval you specify.
  • Email alerts – using the SendGrid Action to easily notify customers when something happens, whether it’s a delay in an order or an outage on their instance.

High touch :

Reverse ETL has features lacking in Looker Actions and reduces the barrier between them. High touch is one of the alternatives to Data Actions, and reverse ETL copy’s data from analytics platforms or data warehouses to operational systems of record. Hightouch clears the problem by leveraging Reverse ETL, which transforms data from the data warehouse and synchronises it back to the native tools of businesses like Marketo, amplitude, Hubspot, iterable, salesforce, Google sheets, etc.

With hightouch, users can map attributes like purchases and emails to any field. It saves money and time by synchronising data at specific locations and ensures that no duplicate data is present. In Looker Actions, there is a limit on updating end tools, but in Hightouch, we are free to update any field and can send data in batches, unlike in looker Actions. High touch directly integrates with LookML and Looker, and it benefits companies to connect directly with Looker and view their reports.

Auger.AI:

This Action also reduces the workload of each data scientist because anyone in a company can run and deploy a predictive model with a few clicks. To create an accurate predictive model, use this Action with any labeled dataset, such as:

  • Forecast inventory to better balance supply and demand Predict equipment failures to perform preventative maintenance
  • Estimate headcount and employee turnover, as well as customer churn.
  • Determine the credit risk of customers for loans and financial transactions.

If you want to Explore more about Looker? then read our updated article – Looker Tutorial

DataRobot:

This Action also reduces the workload of each data scientist because anyone in an organization can run and deploy a predictive model with a few clicks. Utilize this Action to:

  • Determine which customers are likely to be repeat buyers.
  • Learn what user characteristics make certain account profiles a churn risk.
  • Investigate which factors, such as region and age, lead to higher sales.

Airtable

Looker Airtable Action transfers data from Looker to your Airtable spreadsheets. Using this Action, you can create and update Airtable spreadsheets for a variety of purposes, including:

  • Developing and maintaining lists of customer segments.
  • Every order and its details should be listed on your eCommerce site on a daily basis.
  • Keeping track of any backend infrastructure issues as they arise.
  • Keeping a list of customers who have been affected by high-severity issues.

 What are the problems with Looker Data Actions?

Looker’s premium features created a revolution in Business Intelligence tools and have provided many solutions in BI. Every software has its drawbacks, and Looker is not exceptional, but its advantages make it one of the best tools in BI and have a strong premise.

Large data volumes can not be handled upto the mark by Looker Actions. Data differencing or diffing will not take place in Looker Actions. Diffing is a method used to check if there are any changes in data before sending it to another system or application. Looker’s Data modelling, unique coding language (Look ML), and data matching capabilities are constrained to use. Companies have to duplicate their data into LookML, and companies with native tools or current data models cannot transform their data.

Many companies rely on SQL to modify their data. LookML is partially built on SQL, and users are needed to learn an entirely new language. It is expensive and time-consuming for businesses that are not yet using Looker. There are also some effective and easy tools to transform data ex. DBT, which is fully developed on SQL and automatically updates models. Developers and engineers can quickly transform, orchestrate and model their data.

Developers and engineers can use it to orchestrate, transform, and model their dataLooker Actions lack batching capacity for many destinations. Looker Action will send all the records irrespective of their duplicates. If a massive amount of data is to transform, it may fail because of the rate limit issue.

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Conclusion

In the above blog post all the looker data actions are explained, you can select your interested action to perform  the business operations. Had any doubts, please drop your queries in the comments section, our experts will get back to you shortly.

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