DataSift

Phone Scoring Guide

Phone Scoring & Trestle Workflow

4.75x Higher Connect Rates. From Blind Dialing to Precision Calling.

Most REI teams dial blind. Half their numbers are dead, disconnected, or flagged as spam. Phone scoring fixes that before you pick up the phone.

12 min read
The Problem

You Don't Have a Lead Problem. You Have a Dialing Problem.

Everyone thinks the bottleneck is more leads. It's not. It's dialing 2,000 numbers when 1,000 of them are dead.

Your callers sit down with a list of 500 numbers. They start dialing. Half the time, they hear a disconnected tone, a fax machine, or dead silence. They burn through 150 dials and connect with maybe 4 people. That's a 2-3% connect rate. Industry average for blind dialing.

Three things are happening behind the scenes. First, every dead number your caller dials trains the carrier algorithms to flag your number as spam. Second, your callers lose momentum. Nobody stays sharp after 75 dead dials in a row. Third, your cost per contact quietly doubles because half your dialer time produces zero conversations.

Your caller ID is a depreciating asset. Every dead number you dial is a withdrawal from that account. Score first, dial second. Protect the asset that makes every other investment work.

Do This

Score every phone number with Trestle before loading into your dialer. Remove dead numbers. Call highest-activity numbers first.

Not This

Dial blind and hope for the best. Burn through numbers sequentially without scoring. Wonder why your caller IDs keep getting flagged.

The math: 150 dials/day minimum per caller. If 50% are dead, that's 75 wasted dials at $0.03-0.06 per dial. That's $2.25-$4.50 per day per caller in pure waste. Per month: $50-100 per caller in burned resources, plus degraded caller IDs that take weeks to recover.

Core Framework

The 5-Tier Dial Priority System

Trestle scores every phone number 0-100 based on real activity data. These five tiers tell you exactly what to do with each score range.

881
43.4%
Dial First
Score 81-100
99
4.9%
Dial Second
Score 61-80
102
5.0%
Dial Third
Score 41-60
671
33.1%
Dial Fourth
Score 21-40
275
13.6%
Drop
Score 0-20
43.4%
5%
33.1%
13.6%
Highest priority Lowest priority

Dial First (Score 81-100)

30.3%
Correct Rate
1.9%
Dead Rate
881
Phone Numbers

Call and text immediately. These are your best numbers with the highest activity scores. Load them first into your dialer. In a niche sequential campaign, these are your Day 1 priority. In bulk, these fill your ReadyMode queue first.

Dial Second (Score 61-80)

11.1%
Correct Rate
11.1%
Dead Rate
99
Phone Numbers

Call after burning through Dial First. Strong activity, solid contact potential. These numbers are active lines. Combined with Dial First, you have 92% of all correct numbers in your dataset.

Dial Third (Score 41-60)

8.8%
Correct Rate
12.7%
Dead Rate
102
Phone Numbers

Call if capacity allows. Moderate activity. Correct numbers do appear in this range. Dial 1-3 is the safe conservative approach since correct numbers still show up in tiers 2 and 3. Worth the dial time if your callers have bandwidth.

Dial Fourth (Score 21-40)

1.0%
Correct Rate
34.6%
Dead Rate
671
Phone Numbers

Low priority. Call last if there's still time, but consider routing these to direct mail only. Only 1% correct rate means 99 out of 100 dials here produce nothing. Your callers' time is better spent on Tiers 1-3.

Drop (Score 0-20)

0.7%
Correct Rate
33.0%
Dead Rate
275
Phone Numbers

Do not dial. Dead, disconnected, or disposable numbers. Remove from call lists entirely. Every dial here burns your caller ID reputation for a 0.7% chance of reaching someone. Send direct mail to the property address instead.

The insight: Dial First + Dial Second = 980 phones (48.3%) containing 92% of all Correct numbers in the dataset. Dial Fourth + Drop = 946 phones (46.7%) holding only 8% of Correct numbers but 82% of all Dead numbers. Tagging lets you cut your call list nearly in half while keeping virtually all the good numbers.

The Data

2,000 Records. One Clear Answer.

We ran 2,000 phone records through Trestle's scoring API and cross-referenced every score against actual DataSift phone status data. Here's what the numbers show.

0
Records Analyzed
0
Avg Score: Correct
0
Avg Score: Dead
0
Connect Rate Jump

2-3% Connect Rate

Industry average for blind dialing. Your callers connect with 4-6 people per 200 dials.

~50% Dead Numbers

Half your list is disconnected, fax machines, or inactive lines. Every dead dial trains carriers to flag you.

Burned Caller IDs

Dialing dead numbers degrades your caller ID reputation. Takes weeks to recover once flagged as spam.

Demoralized Callers

75 dead dials in a row kills momentum. Your callers lose sharpness when most calls go nowhere.

9.5% Connect Rate

Split-tested with a VA. Connection rates jumped 4.75x by scoring and prioritizing numbers first.

Dead Numbers Removed

Drop tier (0-20) and Dial Fourth (21-40) pulled from call lists. Only active lines hit the dialer.

Protected Caller IDs

Fewer dead dials means carriers see legitimate calling patterns. Your numbers stay clean longer.

Priority-Ordered Dialing

Callers hit the best numbers first. More conversations in fewer dials. Better energy, better results.

Before and after connect rate comparison with Trestle

Real before/after: connect rate improvement after implementing Trestle scoring.

Key metrics from phone scoring analysis

Key performance metrics from the 2,000-record phone scoring analysis.

Detailed results table from phone scoring study

Full breakdown: score distribution, correct rates, and dead rates by tier.

Bimodal distribution: Scores cluster at 30 (662 phones) and 100 (819 phones). Very little middle ground. The API is essentially saying "probably dead" or "probably active." There's no ambiguity in the data.

The "Wrong Number" insight: Phones marked WRONG in DataSift still score 78.2 on average. The line is active. It's just not the right person. This is actually useful: if a number is WRONG but active, someone is using it. Could be a relative, tenant, or other decision-maker at the property. Worth a deep prospecting look.

Hidden Insight

Line Type Intelligence

Not all phone types are what they appear. The Trestle API reveals line type data that DataSift's internal classification misses.

Mobile

Avg score: 80.8. Best line type. High activity, textable, dialable. Your primary target.

FixedVOIP

Avg score: 47.0. Internet-based lines that DataSift often categorizes as "Landline." Many are textable.

NonFixedVOIP

Avg score: 46.5. Google Voice, TextNow, etc. Often miscategorized. Textable and dialable.

Landline

Avg score: 30.2. True landlines. Lowest activity. Call-only, not textable. Often dead.

24% of DataSift "Landlines" aren't landlines. Of 776 numbers DataSift classifies as landline, 134 are actually FixedVOIP and 53 are NonFixedVOIP. These are textable, dialable numbers you might be skipping because they look like landlines. Phone scoring reveals the truth.

Phone StatusLine TypeMean ScoreMedianCountSignal
CORRECTMobile97.3100263Strong
CORRECT_DNCMobile95.61009Strong
WRONGMobile85.910076Caution
NO_ANSWERMobile82.8100327Active
UNKNOWNMobile76.8100368Worth Dialing
CORRECTFixedVOIP75.0858Strong
CORRECTLandline70.0707Strong
UNKNOWNNonFixedVOIP50.34532Mixed
UNKNOWNFixedVOIP48.230106Mixed
DEADMobile38.83097Avoid
UNKNOWNLandline29.930337Low Value
DEADLandline28.230236Avoid
Setup Workflow

Get Trestle Running in 30 Minutes

Six steps from zero to scored, tagged, and loaded into your dialer. The Claude phone validator skill automates most of the heavy lifting.

1

Create a Trestle Account

Sign up at trestleiq.com. Important: you need a work email. Gmail, Yahoo, and other free providers won't be accepted. Cost is approximately $0.015 per phone number scored.

Trestle account dashboard showing API access and scoring interface

Trestle account dashboard. Access your API key and manage scoring from here.

2

Export Phone Numbers from DataSift

Pull your contact list with phone numbers. The format Trestle needs is specific. See the screenshot below for the exact column structure required.

CSV upload and scoring interface for Trestle phone number validation

CSV upload interface. Upload your exported phone numbers for batch scoring.

3

Run the Claude Phone Validator Skill

The phone validator skill automates the Trestle API scoring process. It submits your numbers, retrieves activity scores, and generates the 5-tier tag assignments automatically.

4

Download Scored Results

You get back every phone number with its 0-100 activity score and the recommended Dial First / Second / Third / Fourth / Drop tag.

5

Apply Tags Inside DataSift

Upload the scored results back into DataSift using the tagging logic shown below. Each number gets its priority tag. Your CRM now knows which numbers to call first.

6

Load Prioritized Records into Your Dialer

Filter by tag. Load Dial First into smrtPhone or ReadyMode. Call through those, then load Dial Second. Route Dial Fourth and Drop to direct mail only.

Required format for Trestle phone scoring

The exact column format Trestle needs for phone number scoring.

Tagging logic to apply inside DataSift

The 5-tier tagging logic to apply to your scored numbers inside DataSift.

DataSift tag management interface showing phone scoring tags applied to lead records

DataSift tag management. Apply Trestle scoring tags to organize your leads by dial priority.

Claude Phone Validator Skill: Automates Trestle API scoring and tag generation. Download the skill from Google Drive

See all available skills → Claude Skills for REI

Loom Walkthrough: Step-by-step video from our head of support on attaching phone scores to DataSift using Trestle. Watch the full walkthrough

Cost math: ~$0.015 per number. 5,000 records with 3 phone numbers each = $225 total. The cost of NOT scoring? Burned caller IDs that take weeks to recover, plus wasted dialer hours on numbers that will never pick up. $225 to protect your entire calling operation is the cheapest insurance you'll buy.

DataSift CRM

Understanding Phone Tags & Statuses

DataSift tracks two things about every phone number: its status (what happened when you called) and its tags (metadata you assign). Here's how Trestle scoring connects to both.

Phone Status vs Activity Score

Mean Trestle activity score by DataSift phone status. Higher scores correlate strongly with active, correct numbers.

DataSift StatusMean ScoreWhat It Means
CORRECT95.3Reached the right person. Highest activity.
CORRECT_DNC89.0Right person, requested Do Not Call. Active line.
WRONG78.2Active line, wrong person. Deep prospecting opportunity.
NO_ANSWER75.8Line is active, nobody picked up. Worth retrying.
UNKNOWN53.4Never called. Mixed bag. Score helps prioritize.
DEAD31.8Disconnected, out of service. Remove from lists.

Phone Tags

Tags are metadata labels you attach to phone numbers inside DataSift. The Trestle workflow adds Dial First through Drop tags. You can also add relationship tags for skip tracing context.

These are the five tags from the scoring workflow: Dial First (81-100), Dial Second (61-80), Dial Third (41-60), Dial Fourth (21-40), and Drop (0-20). Upload via CSV after running the Claude phone validator skill. Tags persist on the record for filtering and dialer queue management.

When skip tracing returns multiple numbers for a property, tag each with the relationship: Daughter, Husband, Son, Wife, Grandchild, Relative. You can also tag Spanish Speaking for language routing. These tags help callers know who they're reaching before the conversation starts.

Three ways to add phone tags: Within individual records (click the phone number, add tag), CSV bulk upload (match by phone number column), or During data import (map tag column on upload). Tags can be edited, merged, or bulk-removed from the Phone Tags management page.

Spam Protection

Free Caller Registry

Phone scoring removes dead numbers from your list. Free Caller Registry removes your numbers from spam databases. Together, they form a two-layer protection system for your calling operation.

1

Register Your Numbers

Go to freecallerregistry.com/fcr and register every outbound phone number your team uses for cold calling.

2

Wait for Processing

Registration takes effect within a few days. Your numbers get flagged as legitimate business callers across carrier databases.

3

Re-Register Quarterly

Set a recurring task in DataSift every 3 months. Registrations expire. Re-register to maintain clean caller ID reputation.

This is free. Takes 5 minutes. Re-register every 3 months. There is zero reason not to do this. Every outbound number your team dials from should be registered. It won't fix a number that's already flagged as spam, but it prevents clean numbers from getting flagged in the first place.

Proof

Real Results from Real Operators

Phone scoring isn't theoretical. Here's what happens when operators implement the 5-Tier system.

Joshua English

Split-tested Trestle phone scoring with a VA. Connection rates jumped from 2-3% to 9.5%. A 4.75x improvement from one change: scoring numbers before dialing.

93.6% Accuracy

93.6% of Correct phones score 70 or above. And 88.4% of Dead phones score 30 or below. The scoring model is reliable.

User testimonial about Trestle results

Operator feedback on Trestle implementation and connect rate improvement.

Where It Fits

Phone Scoring in Your Marketing Pipeline

Phone scoring sits between skip tracing and dialing. It's the quality gate that ensures only active numbers reach your callers.

Data Pull Skip Trace Phone Score Tag & Filter Load Dialer Call

Niche Sequential (200-500 records)

Score all numbers. Call Dial First through Dial Third over 3 days using click-to-dial (smrtPhone). Route Dial Fourth to direct mail only. Drop gets removed entirely.

Bulk Sequential (5,000+ records)

Score all numbers. Load only Dial First + Dial Second into ReadyMode power dialer. Remaining tiers get routed to SMS-only or direct mail. Never waste dialer lines on low-score numbers.

Cross-references: For the full niche sequential workflow, see the Niche Sequential Marketing Guide. For team structure and daily Data Manager workflows (including Trestle scoring at 11 AM), see the Team Structure Guide.

Phone scoring eliminates 50% of dead numbers before your team dials. Unlimited skip tracing on the Expert plan means you never pay per-record again. Get Started →
Key Terms

Phone Scoring Glossary

Click any card to reveal the definition.

Activity Score

Click to flip

Activity Score

A 0-100 score from the Trestle API measuring how active a phone number is. Based on real carrier and usage data. Higher scores mean more likely to be answered.

Dial First

Click to flip

Dial First (81-100)

Highest priority tier. 43.4% of records in the study. 30.3% correct rate, only 1.9% dead. Call and text these immediately.

Dial Second

Click to flip

Dial Second (61-80)

Second priority. 4.9% of records. 11.1% correct rate. Call after Dial First is exhausted. Combined with Tier 1, captures 92% of all correct numbers.

Dial Third

Click to flip

Dial Third (41-60)

Moderate priority. 5.0% of records. 8.8% correct rate. Call if capacity allows. Correct numbers do appear here, so it's worth the dial time.

Dial Fourth

Click to flip

Dial Fourth (21-40)

Low priority. 33.1% of records but only 1.0% correct. Route to direct mail only. Not worth burning caller time or IDs on these numbers.

Drop

Click to flip

Drop (0-20)

Remove entirely. 13.6% of records. 33% dead rate, 0.7% correct. Dead, disconnected, or disposable numbers. Do not call under any circumstances.

Caller ID Reputation

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Caller ID Reputation

A trust score carriers assign to your outbound number. Degrades when you dial dead numbers repeatedly. Takes weeks to recover once flagged. Phone scoring protects it.

Free Caller Registry

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Free Caller Registry

Free service at freecallerregistry.com that removes your outbound numbers from spam databases. Re-register every 3 months. Takes 5 minutes. Zero cost.

Bimodal Distribution

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Bimodal Distribution

Phone scores cluster at two peaks: 30 (662 phones) and 100 (819 phones). Very little middle ground. The API clearly separates "probably dead" from "probably active."

FixedVOIP

Click to flip

FixedVOIP

Internet-based phone tied to a physical address. DataSift often miscategorizes these as "Landline." 24% of apparent landlines are actually VOIP. Textable and dialable.

Knowledge Check

Test Your Understanding

Seven questions on the 5-Tier Dial Priority system and phone scoring fundamentals.

1. What score range defines "Dial First" in the 5-Tier system?

2. What percentage of all Correct numbers are found in Dial First + Dial Second combined?

3. Why should "Drop" numbers (score 0-20) be removed from call lists entirely?

4. How often should you re-register your numbers with Free Caller Registry?

5. What is the approximate cost per phone number for Trestle scoring?

6. In the 5-Tier system, which tiers should be routed to direct mail instead of calling?

7. Why do "WRONG" status numbers in DataSift still score high (average 78.2)?

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