Lead Scoring Mechanisms Explained - hubspot

Help Doc with links:
https://docs.google.com/document/d/1O5XraE57aNKDGMQvfBru_d7EStQWM5gTbI60a-yN5xE/edit
Help Doc copy/pasted:
The ShipperHQ Lead scoring mechanism uses 3 properties to measure interaction/quality of lead. The higher the scores the more likely the lead is to convert into a customer and the higher priority assigned to connecting with this lead/contact.
1.) HubSpot Score - A score/measure of how closely a contact matches our buyer persona. It uses data such as company size, platform, vertical, job title, location, personal email vs business email, and if we have a phone number or not to score the contact.
The higher the score, the more interested SHQ should be in the contact. This is used to automatically push MQL’s to Sales and help prioritize leads.
2.) SHQ Account Score - A score/measure of how interactive a contact is within the ShipperHQ dashboard.
The more SHQ setup items they complete during trial, the more features they adopt, the more logins they have, etc. all increase the SHQ Account Score. This helps qualify/prioritize leads by being able to see a measure of how interactive a contact is within the SHQ dashboard. The more they use SHQ, the more likely they are to convert into a customer.
3.) Engagement Tracker Score - A score/measure of how interactive a contact is with marketing assets. This helps to get an idea of how interested a contact is in ShipperHQ. The higher their engagement tracker score, the more they have read about SHQ and/or pursued more information on the product.
The more pages on the website they visit, the more forms they fill out, links they click, emails they open, meetings they have, etc. the higher their engagement tracker score increases. Once they reach a score of 5, they will be automatically MQL’d
4.) Marketing Interaction Data Object - This object is updated and lists any marketing interaction a contact has had. It is meant to capture the marketing touchpoints a contact has had during their lifecycle.
Each time the engagement tracker score is increased, there should be an activity added to the contact’s Marketing Interaction Data object/record explaining the increase in score. (Examples include: event attended, page visited, link clicked, email opened, form submitted, became subscriber, meeting had, etc.)

Related

Seat map visibility

When I query seat maps for certain flights, I find that much of the seatmap comes back with "blocked" status. I can confirm with various other sources (airline webpage, ExpertFlyer, etc.) that many of the seats showing up as blocked in the Amadeus API are actually open.
One example is the following query for EWR-LHR flights on UA. I run this as a GET query on the flight-offers API and then pass the results to the seat map API.
https://test.api.amadeus.com/v2/shopping/flight-offers?originLocationCode=JFK&destinationLocationCode=LHR&departureDate=2020-12-18&adults=1&nonStop=true&max=250
This comes back with rows 30-35 or so all "BLOCKED" status. Many of these seats are in reality open, but United may charge an extra fee to book them.
Is there a way to show actual seat availability or include the information on seats for purchase? Alternatively, can I specify the booking class in the query somehow? E.g. I wonder if I asked for a higher class of fare (e.g. full-fare Y) maybe no seat charge would be required (not completely familiar with UA's rules on this). Overall my goal is to see all actual available seats.
The SeatMap Display API builds the aircraft seatmap based on specific flight offer. That’s why the information you get for the seat availability depends on the traveler class information. In the Flight Offers Search API you can define with the parameter travelClass the travel class; economy, premium economy, business or first class. Also, in the test environment it's normal to have discrepancies with other sources as the test environment doesn't contain the full and live data.

How to Draw erd and logical diagram?

One of the latest projects is to organise an outdoor summer music festival known as the ‘Long-Weekend’ over a three-day period, and they really need a system to help them record and access the data. It is hoped that the festival will attract between 4000 and 5000 fans each day during the three-day period. Recently they had an event of folk music festival in Roundhay Park, Leeds. They haven’t got much social media presence, therefore, they would like to include links to relevant social media as part of your final product. The system needs to be accessible to multiple users.
In addition to above, here is a list of some other important information we need to include in the system:
Details for each Festival and the key organizer of the Festival.
Details of Venues and Locations where the festival is taking place, and Contact person for the Venue
Details of Venue as they may be of a different types/sizes and hire price.
List of all staff working at the Festival
List of Bands playing at Festival.
Additional Entertainment to keep fans occupied over a period
The music bands represented by an agent need to play a prominent Venue
Space for band/singers should be allocated for storage
A list of bands on each location, times and dates are kept
Allocation of staff to a stage and supervisor and the ability to record feedback
Reporting on the equipment list for each stage
Security staff allocated to a venue and each stage (if applicable)
Information of qualified first aiders.
Well this forum is purely related to code stuff while you have asked some conceptual to logical conversion.
Anyway, I will try to answer:
Identify the entities like bands, venues, staff etc
Identify their attributes like bandId, bandTitle or venueTitle, venueAddress, venueContactPerson
Identify the strong/week/multiple/composite attributes of these entities for example title of band will be single, address can be composite by combination of streetAddress, streetNo, sector, city etc, contactPerson can be multiple
Identify the relations between entities for example band has many staff member, a member can not be part of multiple bands etc
Try to Draw diagram by following https://www.smartdraw.com/entity-relationship-diagram/
Further, you can email me at ping#naveedramzan.com

Curious about the algorithm behind the persoanlization feature of spotify

https://developer.spotify.com/web-api/get-users-top-artists-and-tracks/
Get a User’s Top Artists and Tracks
Get the current user’s top artists or tracks based on calculated affinity.
Affinity is a measure of the expected preference a user has for a particular >track or artist. It is based on user behavior, including play history, but >does not include actions made while in incognito mode. Light or infrequent >users of Spotify may not have sufficient play history to generate a full >affinity data set.
As a user’s behavior is likely to shift over time, this preference data is >available over three time spans. See time_range in the query parameter table >for more information.
For each time range, the top 50 tracks and artists are available for each user. >In the future, it is likely that this restriction will be relaxed. This data is >typically updated once each day for each user.
I am wondering which algorithm is used for implementing this feature? colloborative filtering algorithm or content based algorithm.

How to get number of Instagram followers on a specified date like minter.io does?

From the picture, you can see how followers statistics looks on minter.io
The only way how I imagine I would count the followers change: I would download the list of all he followers every day by the Instagram API to my DB. And after having this history already can calculate any change.
But on minter.io you can have such a graphics after few minutes after registration... How???
They are probably storing this information on a daily basis and hence are able to keep a historical trend.
If you go to the minter.io website, they mention at the bottom that they have collected data for close to 198 million accounts. I guess you were one of those.
You don't need to get the list of all followers just to show the absolute change in the numbers. The Instagram API gives that directly when you query any of the endpoints giving user information.
I know how it works at smartmetrics.co.
Smartmetrics collects information about all followers of tracked accounts and build history based on this data. So if you followed someone who is already tracked, you can get history for your account.
But minter makes fake linear graph according to some tests: How to Get Historical Data from Instagram API
Crowdbabble and Minter re-use Twitter tokens, which allows them to collect data on millions of accounts. This gives you the historical data that you want -- change in followers over time. As an individual, you aren't able to access the Twitter API and aggregate data like that for storage as easily. You don't have thousands of people giving you tokens that you can then scrape and store on a regular basis.
Crowdbabble has a free 14 day trial with no payment info required. If you don't want in-depth analytics, Twittercounter will give you your follower numbers over the past 30 days -- you can view each day separately.

Building a rudimentary accounting app [closed]

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I'm building a simple accounting app to be used for personal finance.
A user might keep track of purchases, upcoming bills, recurring deposits, etc. It will be verrrrry simple.
Two questions:
1) Any advice I should keep in mind? Obviously, I'll use transactions where appropriate, but proper datatypes and other considerations would be nice to know about.
2) Are there any APIs you know of I could use to periodically get a user's balance from their bank? i.e., an API that would make it simple to query their account, regardless of whether they're at Chase, BofA or other?
Thanks very much,
Michael
Having just completed version 1.0 of some custom written online accounting software for school related non-profits I have some advice :)
Use standard double entry accounting/bookkeeping (debits and credits) as the basis for your financial engine. You will find this will serve you well when it comes to not only storing data on transactions but also generating reports. Assets = Liabilies + Equity is a tried and true approach for tracking who owns what.
Use decimal types for money.
Use transactions.
Keep the interface as simple as
possible.
You will need to have a method to
allow the user to reconcile the bank
records with their own records.
Pulling in bank data would help this
process but you will need to provide
the user with a method to compare.
You can use bank statements for this
process.
The bank is always considered to be right.
If there is a discrepancy between
the bank and the user records... the
fault almost always is with the user
records.
Make sure you provide some sort of
backup facility for the user
Secure the users data
Make sure you fully understand the process you are automating. Do not make assumptions. Run your ideas by an accountant who specializes in personal finance. Having this vetting will help quite a bit.
Be prepared to write ALOT of code. Accounting software has been around for years, the list of "standard features" for a typical accounting package has grown, and there are quite a few players in the market. If you are planning on selling this product you will need to provide those standard features and then find some way of differentiating it from what is already available with additional features.
TEST TEST TEST and TEST again. You
are keeping records of peoples
personal financial transactions
(their money). Errors are not taken
lightly.
I will add a few tips as I am finishing a POS system that focuses on ACCOUNTING - meaning the purchases, expenses, invoicing, accounts, credit cards, cash, vehicles, etc all need to be tracked. The concepts will eventually be applied to a personal system.
The best advice is to look at your paperwork and try to form your database around what you need to do to translate your physical documents to the computer. Combine this with the first couple of chapters of an accounting textbook which talks about accounts, chart of accounts, and journals.
The books I used :
Accounting at your fingertips by George Murray
Finance and Accounting for Entrepenuers by Suzanne Caplan
Introduction To Accounting by Ainsworth
Accounting, Information technology, and Business Solutions By Hollander
Once you have your source documents entered into the system you can then run queries to get to your answers. Doing this eliminated the concept of the "General Ledger" and "trial balance" because you simply correct or add to your source documents. So the "General Ledger" becomes a calculation. That was super confusing to me. Again, all the source documents will be put into 'Journals', which can be your database tables. I use a general journal, a purchases journal, a payments or cash disbursements journal, a sales journal, and a cash receipts journal. Keep in mind the term "CASH" refers to cash, credit, check, debit.
For example I have a "general journal" which is basically what you need. In this journal I keep track of 'source receipts'. A receipt might be an invoice, like time warner cable, which has an account number. In that case I create an 'account' for time warner. The time warner account will link to a 'chart of accounts' which will specify the type of expense as "internet". The invoice then gets entered with the date, the amount, etc. The invoice links to the account for time warner. Once the invoice is entered it is unpaid. You then need to add payment. Of course you could pay the bill in full as you should, but you might need to do two payments, or split payments, or not pay in full. This will lead you to a 'Payments Journal" in combination with a 'invoice to payments lookup table' which will need to have an applied amount to apply to an invoice. This applied amount is important because you might have 4 unpaid time warner bills and you just send over $200 in a panic to get your account back on. This payment then needs to split across the invoices with amounts to apply to each. And of course the payment account will link back to your accounts.
For the case of entering a receipt, the account is not used. Say you pick up some lingerie at embrasse-moi, and pay cash. Your system will take the supplier, embrasse-moi, the date, the cost, I added a 'use tax' in case you purchase over the internet and did not pay tax but you still owe it, the amount, and the 'Chart of accounts' which is essentially what category is your expense. That all goes to the general journal. On the same form you will have the payment method. I made a simplified form for an expense + exact payment as that is very common. If the payment is split then you will need to enter the receipt using one form, then create multiple payments linking to that receipt with other forms.
So in the end your database for this simple accounting app will have the following tables:
Accounts (the account information including an account type like cc/debit card, checking, cash, inventory account for business purchases, expense account like utilities, the default chart of account)
Chart of accounts (basically a list describing how to classify expenses and accounts which will flow to your operating statement, i put mine here for you to check out:
http://embrasse-moi.com/exampleData/pos_chart_of_accounts.csv)
I have a table for opening balances for accounts, because you have to start somewhere
Account type - meaning credit card, debit card, etc. Keep in mind the accounting equation basicaly switches based on the account. Checking accounts debits are "bad" because you gave away your money and credits are "good" because you took in money while credit cards debits are "good" because you reduced your debt and credits are "bad" becasue you added to your debt
Chart of account types, which is an 'asset, liability, long term asset, etc. This could be included in the cart of accounts as an Enum type
Then there is the general journal, which as described contains enough information to describe your document. Is it on account? Date, amount, the type (receipt or invoice) due date, i keep a 'paid' flag to ease the querying.
Then you have a lookup between the 'general journal' table and the payment table
Then you have the payment table.
Once you have all this information in, you will almost never use your bank as sources, as they are not always correct, at least my bank makes mistakes. So this type of structure will keep you on top of your information, and at the end of the month this system will produce a statement that looks identical to your account statements. And that is the goal.
About APIs for getting info from your bank: not simple, if at all possible. You can imagine the lengths your bank will go through to make sure everything is secured. I don't think it'll be possible to automatically connect.
Usually there's a way to download data through manual downloading of a file, after you logged into your online banking (if you have that available). Hopefully it'll be in CSV format or something similar ;-)
[edit]
Apparently I was wrong here, major banks DO allow direct connection. I guess you'll have to consult your bank techsupport on that then.
[/edit]
As for datatypes to use, I'd at least recommend decimals for money values, instead of doubles/floats. see this SO question thread about that too.