Sarcasm scored as praise
Words, not meaning.
BoldBellowsTwitter/X sentiment analysis automation for brands that need more than a happy face on a dashboard
Twitter/X sentiment analysis automation that scores mentions against a written policy, sends a spot check for human review and reports the shift, not a single number
A sentiment dashboard reduces thousands of posts to one score that nobody can explain. BoldBellows records the post ID, the author ID and the conversation ID before anything else happens, recognizes a repeated delivery by its post ID the moment it arrives, then reads each post once at $0.005 per resource, scores it against your written policy for positive, negative, mixed or neutral with a one-line reason, sends a spot check to a person each week to measure agreement, and reports the movement against the week before, split by topic. Scores are kept with the policy version, so a changed policy never silently rewrites history.
View Pricing
From $925, billed once.
- Analyze X sentiment
- Scored against a written policy
- Human spot checks
The standards the Twitter/X route is held to
- Policy firstwritten and versioned
- Reasons storedone line per score
- Human spot checkagreement measured
- Shift reportedby topic, week on week
- Fixed scopeWhat is built, tested and handed over is agreed before work begins
- One invoicefrom $925, invoiced once, with documentation included
01the vanity-score problem
One sentiment number hides the sarcasm, the mixed posts and the topic that is actually sinking
Most sentiment tools score a post as positive because it contains the word love, even when the customer says they love waiting three weeks. Sarcasm, mixed posts and mentions in another language fall through, scores change when the vendor updates its model, and a board slide that shows the average rising hides that one product line is turning negative. Nobody can say how accurate any of it is.
A mixed post forced into one label
No mixed class.
Scores that shift with the tool
No policy version.
The same mentions, as a read you can put in front of the board
Before: the same score made again
- Anything the trigger matches is sent on
- One score for everything
- Nobody can say how accurate it is
After: sentiment scores holds one true score
- A repeat finds its score through the post ID and the scoring policy version, stored with the label and the reason
- Scores follow a written policy with reasons
- A spot check measures agreement every week
02how it works
How an X mention becomes a scored, explained and spot checkd data point
Nothing is written until the change is judged and the score has been looked for.
- Admit only what counts. Each Twitter/X event is verified and logged; anything outside the agreed scope is set aside with a reason.
- Read, score, explain. Each mention is read once, scored against the written policy and given a one-line reason.
- Check, compare, report. A weekly spot check is reviewed by a person, agreement is measured, and the report shows the shift by topic.
The rules of the two platforms
- Replies are billed as posts. Every post read is $0.005 whether it is a mention, a reply or a quote, so the route asks for the fields it needs in one request instead of three.
- Five thousandths a post. Each post read costs $0.005, so the route stores every mention with its score and never pays to read the same text twice.
- Retry rules. Retries are preceded by a check of sentiment scores using the post ID and the scoring policy version, stored with the label and the reason, so repeating a request cannot repeat its effect.
03The parts of the route
Everything in the sentiment scores route, laid out
Launch is the front door. Route is the workshop. Govern is the inspection that keeps the route honest.
LaunchRouteGovern
Event qualifier Launch
Reads the Twitter/X record and confirms it satisfies the trigger before sentiment scores is touched.
Stable identity ledger Launch
Logs the key that ties a Twitter/X change to its Sentiment Analysis outcome, ready for audit.
Mapping contract Launch
Holds the agreed Twitter/X-to-sentiment scores field map as a versioned contract, not a habit.
Scorer and reporter Route
Scores each post against the policy and builds the weekly shift report.
Post-and-policy matcher Route
Separates new, changed and already handled records through the post ID and the scoring policy version, stored with the label and the reason.
Class and topic matrix Route
Decides the classes, the topics and the thresholds that raise an alert.
Scoring register Govern
Runs a regular comparison between both sides and keeps the mismatches in view, in the Twitter/X Sentiment Analysis service.
Agreement monitor Govern
Flags a fall in agreement between the model and your reviewers.
Escalation list Govern
Shows which exceptions are getting old and who has to act on them.
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04Who it's for
Made for consumer brands that then score the posts that mention you as positive, negative, mixed or neutral against a written policy, and report the shift rather than a single number
X mentions are the cheapest survey you will ever run. Scored badly, they say nothing.
Head of insight
"I need a number I can defend."
Every score has a reason and a policy version.
Communications director
"Show me what changed."
The report leads with the shift by topic.
Product manager
"Which feature is hurting us?"
Topics split the score by product area.
Analyst
"How accurate is it?"
A weekly spot check measures agreement.
Agency account manager
"Clients compare weeks."
The policy is frozen so weeks are comparable.
Founder
"Warn me about a slide."
A threshold alert fires when negative jumps.
05Compare
How Twitter/X gets into sentiment scores: a sentiment score from a dashboard, a connector, or a policy-based scoring route
Each can produce a score. Only one explains it, checks it and keeps it comparable.
| The trigger | a sentiment score from a dashboard | A template zap for sentiment scores | BoldBellows build: policy-based scoring route |
|---|---|---|---|
| What starts the work | A team member checks Twitter/X | Any event the zap listens to | YesA post event that matches your trigger definition |
| How identity is decided | Searched by name or address | Whatever field is mapped first | YesOne key: post ID and policy version |
| What reaches sentiment scores | The parts someone thought of | Fields forwarded unchecked | YesA label with a reason, a spot checkd check and a weekly shift report |
| After an uncertain result | It waits until somebody notices | Stops with an error email | YesReads sentiment scores by the post ID and the scoring policy version, stored with the label and the reason before any rewrite |
An old change turns up late
A delayed Twitter/X event is compared with what sentiment scores already holds and is set aside if it would undo something newer.
A post says the new feature is brilliant because it finally crashed on the first try
The policy classes it as sarcastic negative, the reason is stored, and the weekly spot check includes it so the reviewer can confirm the label. The post ID and the scoring policy version, stored with the label and the reason turns the question into a lookup, and the answer is one of four: nothing, right, wrong or unclear. Everything else is an update, a no-op or a case for a person.
Before fields or branches are discussed, the post ID and the scoring policy version, stored with the label and the reason is fixed, because every later decision reads from it.
PricingCost is shaped by scores, spot checks and thresholds
See the Twitter/X to sentiment scores price, then decide
Prices start at $925.
One setup fee · Range shown first · PDF handover included
View Pricing
Pricing
Build your Twitter/X to Sentiment Analysis price
Pick a package, answer three short questions about how Twitter/X data should reach Sentiment Analysis, and your price and turnaround move as you choose.
06The process
Six steps from a dashboard to a defensible read
Six stages, one owner on your side, and a written output at the end of each.
Write the policy
We define the classes, the topics, how sarcasm and mixed posts are treated and what each class is for.
Approve access
For Twitter/X Sentiment Analysis, both products are connected in a sandbox first where one exists, then in production, with scoped access.
Agree checks and thresholds
The size of the check, who reviews, the agreement target and the alert thresholds are agreed in writing before scoring begins.
Try to make it fail
Every failure we can think of is tried against a test sentiment scores, and the ones that matter become written repair steps.
Launch with notes
On this Twitter/X Sentiment Analysis service, after sign-off the route runs live from the agreed starting point, with plain-language notes for your team.
Thirty-day look-back
A review at the end of the first month covers volume, exceptions, retries and anything that drifted.
07Turnaround
Turnaround you can plan around
Turnaround is measured from the moment access is ready, for this Twitter/X Sentiment Analysis service.
Launch
6 to 10 business days
Route
10 to 16 business days
Govern
16 to 24 business days
08Before we start
Your checklist before we start
An administrator's approval to connect Twitter/X
A readable X developer app, the terms and accounts to follow and a person who reviews the weekly spot check
Twitter/X credentials we can use for the agreed resources and events
The trigger you want: what must happen in Twitter/X before anything is sent
A decision on which Twitter/X values must never reach sentiment scores
Confirmation of which environment is production
09Security and ownership
Your data stays in its place, except what the map allows
Data moves from Twitter/X to Sentiment Analysis only as far as the field map allows.
Your tools stay as they are
We work with the supported connection points of Twitter/X and sentiment scores and leave the products exactly as you run them today.
Scoped, revocable access
With Twitter/X Sentiment Analysis in place, you can rotate or remove every credential without asking us.
Less data, less exposure
Each field sent to sentiment scores has a stated purpose. Sensitive values are excluded or masked before anything is written.
Look, compare, then act
An unclear write is settled by finding the score and comparing it with the intended values, not by sending again.
Minimal logging
No Twitter/X message bodies, contact lists or payloads are stored in our logs.
Full handover
Ownership passes to you with the written runbook, for this Twitter/X Sentiment Analysis service.
10In their words
What BoldBellows clients say
Verified reviews from operations and finance teams who trust BoldBellows to keep their data moving correctly.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
11FAQ
X sentiment analysis: what insight teams ask
Practical answers on scope, price, access and what happens later, on the Twitter/X Sentiment Analysis service.
What can a custom build do that a Twitter/X to Sentiment Analysis Zapier path cannot?
A simple connector can give you a read on how people feel that you can defend. It will not handle sarcasm and mixed posts, keep scores comparable week to week or avoid paying to read every post twice. These are the parts the build adds.
Why not use a dashboard score?
One number hides sarcasm, mixed posts and topics, and cannot be explained or checked.
How is accuracy measured?
A weekly spot check is reviewed by a person and agreement with the model is reported.
What if we change the policy?
Scores are stored with the policy version, so history is kept and the change is visible in the report.
Which languages are covered?
Those named in the policy. Others are labeled unscored and counted, not guessed.
What does reading cost?
$0.005 per post, charged once per UTC day, and the route reads each post once.
Does it reply to anyone?
No. It reads, scores and reports.
Do you provide a Twitter/X Sentiment Analysis field mapping service?
Every package covers a Twitter/X Sentiment Analysis field mapping service: a field-by-field plan you approve, then a build that follows it exactly.
Can we add approval steps or thresholds on the Twitter/X Sentiment Analysis service?
Yes. Branching rules turn this into a custom Twitter/X workflow for Sentiment Analysis, and you get the advice of a Twitter/X Sentiment Analysis integration consultant with it. Packages start at $925.
Who fixes it when a platform changes in the Twitter/X Sentiment Analysis service?
On this Twitter/X Sentiment Analysis service, we design for change by making failure visible.
Next stepKnow how people feel, and prove it
Give your team a sentiment read that can be audited
We design the way to automate Twitter/X data to Sentiment Analysis around it, from $925.
- From $925, paid once
- Policy first
- Human spot check
- No monthly fee from us
We price those individually.