Competitor research rarely looks like a major expense. It is usually spread across occasional Google searches, checking company websites, reading reviews, scanning news stories and assembling updates before a meeting.
That makes its real cost easy to underestimate.
When several people repeat those activities across several competitors, the hours accumulate. The business may still be left with an incomplete picture because the research depends on what each person happened to find, remember and record.
So how much time could a competitor intelligence platform such as Vallience actually save?
#The hidden work behind manual competitor research#
Useful competitor intelligence involves much more than entering a company name into a search engine. A typical manual process can include:
deciding what developments and signals to look for;
running multiple searches for each competitor;
checking company websites, news coverage, reviews and other public sources;
removing duplicate, outdated or irrelevant findings;
separating substantiated facts from speculation and sentiment;
comparing new information with what was previously known;
assessing what the evidence might mean for your organisation; and
turning the findings into a briefing that someone else can use.
Individual searches may take only a few minutes. The expensive part is repeating the process consistently and turning scattered information into a coherent conclusion.
#An illustrative calculation for three competitors#
Consider a small or mid-sized business monitoring three important competitors once a month.
A reasonable manual workload might look like this:
Activity
Estimated time each month
Finding and checking relevant sources
9 hours
Filtering and comparing evidence
4 hours
Interpreting findings and preparing a briefing
4 hours
Total
17 hours
Across a year, that is 204 hours of work.
Vallience performs the source discovery, evidence collection, classification and initial assessment. It presents the findings in an evidence-linked intelligence report, including relevant developments, customer sentiment, potential threats and opportunities.
It does not remove the need for human judgement. A manager or analyst still needs to review the findings, add internal context and decide what action to take. If that review takes approximately 2.5 hours each month, the annual workload falls to around 30 hours.
In this example, Vallience saves approximately 174 hours a year—nearly five standard working weeks.
#What does that time cost the business?#
Salary alone does not represent the full cost of an employee's time. Employers may also pay National Insurance, pension contributions and other employment costs. Time spent researching is also time that cannot be used for sales, product development, customer work or decision-making.
Using an illustrative loaded employment cost of £35 per hour:
174 hours saved × £35 = £6,090 in staff time;
Vallience at £49 per month = £588 per year; and
estimated net saving = £5,502 per year.
This is an example rather than a guaranteed result. The actual saving depends on the number of competitors, the frequency and depth of existing research, and the cost of the people doing it.
For a team tracking three competitors, a sensible modelled range is approximately 100–180 hours, or £3,000–£6,000 in net staff cost, each year. Businesses conducting deeper research—or using more senior employees to do it—may save considerably more.
#Calculate your own potential saving#
The simplest calculation is:
Annual net saving = (manual hours − Vallience review hours) × hourly employment cost − annual subscription cost
For example, if your team currently spends 12 hours a month on competitor research and would spend three hours reviewing Vallience findings:
Monthly time saved: 12 − 3 = 9 hours
Annual time saved: 9 × 12 = 108 hours
Value at £35 per hour: 108 × £35 = £3,780
Less a £588 annual subscription: £3,192 estimated net saving
Organisations that do not currently track their research time can test the assumption by recording it for one month. Include searching, reading, checking sources, internal discussion and report preparation—not only the time spent typing search queries.
The benefit is not only speed
Time saving is the easiest benefit to quantify, but it is not necessarily the most valuable one.
Manual competitor research is often irregular and person-dependent. It may be performed thoroughly before a strategy meeting and then neglected when workloads increase. Knowledge can remain in browser tabs, private notes or one employee's memory.
A structured platform makes the process more repeatable. It can also help a business:
examine a broader range of public evidence;
retain links to the sources behind important findings;
distinguish evidence from interpretation;
compare competitors using a more consistent approach;
identify changes that might otherwise be missed; and
spend more time deciding what the evidence means.
The goal is not to replace the person making the decision. It is to reduce the low-value work required before that person can make it.
#Why not just use Google or a general-purpose AI tool?#
Search engines are useful for finding individual pages, but they do not provide a repeatable competitor intelligence process. Someone must still decide what to search for, inspect the results, reconcile conflicting information and construct the analysis.
A general-purpose AI tool can help summarise information supplied to it, but the quality of the answer depends on the evidence it receives and the way the task is framed.
Vallience uses AI to assess a body of unstructured public data and produce an evidence-linked conclusion—not simply to think of an answer. Its value lies in combining the search, evidence handling, assessment and reporting workflow.
#From searching to deciding#
The strongest case for competitor intelligence software is not that research disappears. It is that people spend less time gathering and organising information, and more time applying judgement.
For a business monitoring several competitors, that can mean more than 100 hours returned to the team each year. More importantly, it can turn competitor research from an occasional task into a dependable source of decision support.
*All calculations in this article are illustrative estimates and do not represent guaranteed savings. Actual results will vary according to an organisation's research process, staffing costs and use of Vallience.