response-length-calibration

Same message, calibrated for SMS (100 characters):
"Hi John, quick follow-up on marketing tools.
Worth a 15-min call this week?"

Prospect reaction:
- Easy to read quickly
- Clear ask
- Feels personal
- Higher response rate

Optimal: 50-160 characters (1 SMS segment)
Maximum: 320 characters (2 segments)
Never: 500+ characters

Format:
- Single clear ask
- No paragraphs
- Direct language
- Easy response

Example:
"Hi [Name], any questions after the demo?
Happy to clarify anything."

Cold outreach:
- Optimal: 50-125 words
- Maximum: 200 words
- Format: 3-4 short paragraphs max

Warm follow-up:
- Optimal: 75-150 words
- Can go longer if substantive

Proposal/detailed:
- Varies by complexity
- Use bullets and formatting
- Summary up front

Subject line:
- Optimal: 30-50 characters
- Mobile preview: 30-40 visible

Connection request:
- Maximum: 300 characters
- Optimal: 100-200 characters

InMail:
- Optimal: 100-200 words
- Maximum: 400 words
- Format: Brief, personal

Regular message:
- Conversational length
- Match prospect's response length

Real-time chat:
- 1-2 sentences per message
- Break long responses into multiple
- Match prospect's pace
- Don't dump walls of text

Example:
Message 1: "Good question!"
Message 2: "Here's how that works:"
Message 3: "[Explanation]"
Message 4: "Does that help?"

def calibrate_to_prospect(prospect, base_response):
    # Get prospect's average message length
    avg_length = calculate_avg_message_length(
        prospect.message_history
    )
 
    if avg_length < 50:
        # Very brief responder
        return shorten_response(base_response, target=50)
    elif avg_length < 100:
        # Brief responder
        return shorten_response(base_response, target=100)
    elif avg_length < 200:
        # Moderate responder
        return base_response  # Standard length
    else:
        # Detailed responder
        return expand_response(base_response, target=300)

High engagement (opens, clicks, responses):
→ Can be slightly longer
→ They're reading carefully
→ More detail acceptable

Low engagement (rarely opens):
→ Shorter, punchier
→ Get to point immediately
→ Strong subject lines

No engagement:
→ Very short, pattern-breaking
→ Different approach entirely

First touch:
- Shorter (earn attention)
- 50-100 words email
- Clear single ask

Middle of sequence:
- Moderate length
- Can add more value
- 100-150 words

Negotiation/detail:
- Longer acceptable
- Thorough answers needed
- But still concise

Before:
"I hope this email finds you well. I wanted
to reach out to you today because I thought
you might be interested in..."

After:
"Reaching out because [specific reason]..."

Remove:
- "I hope this finds you well"
- "I wanted to reach out"
- "I just thought I'd"
- "I'm writing to"
- "As per our conversation"

Before:
"We offer analytics. We also have reporting.
Additionally, we provide insights. Plus,
we have dashboards."

After:
"We offer analytics, reporting, and custom
dashboards."

Before:
"Schedule a meeting call to discuss and
talk about potential opportunities."

After:
"Schedule a call to discuss opportunities."

Before:
"If you have some time available this week
or next, and it would be convenient for you,
maybe we could potentially set up a call?"

After:
"Free for 15 minutes this week?"

def check_message_length(message, channel):
    length = len(message)
    word_count = len(message.split())
 
    limits = {
        "sms": {"char_max": 160, "warn_at": 140},
        "email": {"word_max": 200, "warn_at": 150},
        "linkedin_connect": {"char_max": 300, "warn_at": 250},
        "linkedin_inmail": {"word_max": 400, "warn_at": 300},
        "chat": {"char_max": 280, "warn_at": 200}
    }
 
    channel_limits = limits.get(channel, limits["email"])
 
    if channel in ["sms", "linkedin_connect", "chat"]:
        current = length
        max_val = channel_limits["char_max"]
        warn_val = channel_limits["warn_at"]
    else:
        current = word_count
        max_val = channel_limits["word_max"]
        warn_val = channel_limits["warn_at"]
 
    return {
        "current": current,
        "max": max_val,
        "warn": warn_val,
        "status": "ok" if current <= warn_val else "warning" if current <= max_val else "too_long"
    }

def auto_shorten(message, target_length, channel):
    # Remove common filler phrases
    fillers = [
        "I hope this email finds you well",
        "I wanted to reach out",
        "I just wanted to",
        "As a follow up",
        "I thought you might be interested"
    ]
    for filler in fillers:
        message = message.replace(filler, "")
 
    # Remove redundant phrases
    message = remove_redundancy(message)
 
    # If still too long, truncate with ellipsis handling
    if len(message) > target_length:
        if channel == "sms":
            message = smart_truncate(message, target_length)
        else:
            message = condense_paragraphs(message, target_length)
 
    return message.strip()
 
def smart_truncate(message, target):
    # Find good break point
    if len(message) <= target:
        return message
 
    # Try to break at sentence
    truncated = message[:target]
    last_sentence = truncated.rfind('.')
 
    if last_sentence > target * 0.7:
        return message[:last_sentence + 1]
 
    # Break at word
    last_space = truncated.rfind(' ')
    return message[:last_space] + "..."

def select_template(intent, channel, prospect):
    # Get prospect's response pattern
    brevity_preference = assess_brevity_preference(prospect)
 
    template_versions = {
        "brief": get_brief_template(intent),
        "standard": get_standard_template(intent),
        "detailed": get_detailed_template(intent)
    }
 
    # Channel constraints
    if channel == "sms":
        return template_versions["brief"]
 
    if channel == "chat":
        return template_versions["brief"]
 
    # Prospect preference
    if brevity_preference == "very_brief":
        return template_versions["brief"]
    elif brevity_preference == "detailed":
        return template_versions["detailed"]
    else:
        return template_versions["standard"]

Consider mobile reading:

- Short paragraphs (2-3 sentences max)
- Plenty of white space
- Bullets for lists
- Bold for key points
- Clear hierarchy

Don't:
- Dense paragraphs
- Walls of text
- Tiny font expectations
- Complex formatting

Email:
- Subject line: [Key point]
- Greeting
- 1-2 short paragraphs
- Bullet points if needed
- Single clear CTA
- Signature

SMS:
- Direct opening
- One main point
- One question or CTA
- No signature (they know who you are)

LinkedIn:
- Personal opening
- Brief context
- Question to engage
- No formal signature

Test:
- Same message, different lengths
- Short vs standard vs detailed
- Channel-specific variations

Measure:
- Open rate (email)
- Response rate
- Click rate
- Conversion rate

Find optimal length per:
- Channel
- Audience segment
- Message type

Track:
- Average message length sent
- Response rate by length
- Engagement by length
- Optimal length by segment

"Messages under 100 words have 23% higher
response rate for cold email."

Cold outreach (78 chars):
"Hi [Name], [Company] might help with [problem].
Worth a quick chat?"

Follow-up (92 chars):
"Following up on [topic]. Still interested?
Happy to answer questions."

Meeting reminder (67 chars):
"Reminder: Our call is tomorrow at 2pm.
See you then!"

Cold email (89 words):
Subject: Quick question about [topic]

Hi [Name],

Noticed [observation about their company].
We help companies like yours [benefit].

[One sentence about relevant result]

Worth 15 minutes to see if we can help?

[Name]

---

Follow-up (52 words):
Subject: Re: [Original subject]

Hi [Name],

Following up on my note last week. If [topic]
is a priority, happy to share how we've helped
[similar companies].

If not, no worries—just wanted to check.

[Name]

Connection request (147 chars):
"Hi [Name], saw your work on [topic].
We share interest in [area]. Would love to
connect and share insights."

InMail (67 words):
Hi [Name],

Your post about [topic] resonated with me.
We work with [similar companies] on exactly
that challenge.

Not pitching—just curious if you'd be open
to exchanging ideas sometime?

[Name]